20.4.5.6 Video Analysis, Abstracts, Synopsis, Summarization

Chapter Contents (Back)
Video Abstracts. Video Summarization. Video Analysis. Summarization.
See also Instructional, Training Videos, How To, Teach Machine How.
See also Video Captioning.
See also Multimedia Summarization, Multimodal Summarization.
See also Summarization, Movies, Script Based, Structured Videos, Presentations.
See also Video Summarization, Abstract, MPEG Based, AVC, H264, MPEG Metadata.
See also Video Skimming.
See also Surveillance Video Summarization, Surveillance Synopsis.
See also Personal Videos, Consumer Videos, Abstracts, Synopsis, Summarization.
See also Video Understanding.

Ratakonda, K.[Krishna],
Method for hierarchical summarization and browsing of digital video,
US_Patent5,956,026, Sep 21, 1999
WWW Link. BibRef 9909
And: US_Patent5,995,095, Nov 30, 1999
WWW Link. BibRef
And:
Method for detecting transitions in sampled digital video sequences,
US_Patent6,459,459, Oct 1, 2002
WWW Link. BibRef

Hanjalic, A., Zhang, H.J.[Hong-Jiang],
An integrated scheme for automated video abstraction based on unsupervised cluster-validity analysis,
CirSysVideo(9), No. 8, December 1999, pp. 1280-1289.
IEEE Abstract. 0410
BibRef

Hanjalic, A.,
Towards Theoretical Performance Limits of Video Parsing,
CirSysVideo(17), No. 3, March 2007, pp. 261-272.
IEEE DOI 0703
BibRef

Simou, N., Athanasiadis, T., Stoilos, G., Kollias, S.D.[Stefanos D.],
Image indexing and retrieval using expressive fuzzy description logics,
SIViP(2), No. 4, December 2008, pp. xx-yy.
Springer DOI 0811
BibRef

Kosmopoulos, D.I., Doulamis, A.D., Doulamis, N.D.,
Gesture-Based Video Summarization,
ICIP05(III: 1220-1223).
IEEE DOI 0512
BibRef

Llach-Pinsach, J.[Joan], Salembier, P.[Philippe],
Automatic extraction method of the structure of a video sequence,
US_Patent6,628,710, Sep 30, 2003
WWW Link. BibRef 0309
And: US_Patent6,842,197, Jan 11, 2005
WWW Link. Summarization, create table of contents. BibRef

Sun, X.D.[Xin-Ding], Kankanhalli, M.S.[Mohan S.],
Video Summarization Using R-Sequences,
RealTimeImg(6), No. 6, December 2000, pp. 449-459. 0101
BibRef

Leinhart, R.W.[Rainer W.], Yeo, B.L.[Boon-Lock],
Method and apparatus for abstracting video data,
US_Patent6,597,859, Jul 22, 2003
WWW Link. BibRef 0307

Divakaran, A.[Ajay], Peker, K.A.[Kadir A.], Sun, H.F.[Hui-Fang],
Method for summarizing a video using motion and color descriptors,
US_Patent6,697,523, Feb 24, 2004
WWW Link. BibRef 0402

Ngo, C.W.[Chong-Wah], Ma, Y.F.[Yu-Fei], Zhang, H.J.[Hong-Jiang],
Video summarization and scene detection by graph modeling,
CirSysVideo(15), No. 2, February 2005, pp. 296-305.
IEEE Abstract. 0501
BibRef
Earlier:
Automatic video summarization by graph modeling,
ICCV03(104-109).
IEEE DOI 0311
BibRef

Ma, Y.F.[Yu-Fei], Zhang, H.J.[Hong-Jiang],
Motion texture: a new motion based video representation,
ICPR02(II: 548-551).
IEEE DOI 0211
BibRef

Peng, Y.X.[Yu-Xin], Ngo, C.W.[Chong-Wah],
Clip-Based Similarity Measure for Query-Dependent Clip Retrieval and Video Summarization,
CirSysVideo(16), No. 5, May 2006, pp. 612-627.
IEEE DOI 0605
BibRef
Earlier:
EMD-Based Video Clip Retrieval by Many-to-Many Matching,
CIVR05(71-81).
Springer DOI 0507
BibRef
And:
Hot Event Detection and Summarization by Graph Modeling and Matching,
CIVR05(257-266).
Springer DOI 0507
BibRef

Li, Z.[Zhu], Schuster, G.M., Katsaggelos, A.K., Gandhi, B.,
Rate-distortion optimal video summary generation,
IP(14), No. 10, October 2005, pp. 1550-1560.
IEEE DOI 0510
BibRef
Earlier:
Optimal video summarization with a bit budget constraint,
ICIP04(I: 617-620).
IEEE DOI 0505
BibRef

Li, Z.[Zhu], Schuster, G.M., Katsaggelos, A.K.,
MINMAX optimal video summarization,
CirSysVideo(15), No. 10, October 2005, pp. 1245-1256.
IEEE DOI 0510
BibRef
Earlier:
Video Summarization for Multiple Path Communication,
ICIP05(I: 205-208).
IEEE DOI 0512
BibRef

Hashimoto, M.[Michikazu], Nakamura, T.[Takeshi], Miyasato, H.[Hajime], Gayama, S.[Shinichi], Tabata, T.[Toshio],
Image information summary apparatus, image information summary method and image information summary processing program,
US_Patent7,149,365, Dec 12, 2006
WWW Link. BibRef 0612

You, J., Liu, G., Sun, L., Li, H.,
A Multiple Visual Models Based Perceptive Analysis Framework for Multilevel Video Summarization,
CirSysVideo(17), No. 3, March 2007, pp. 273-285.
IEEE DOI 0703
BibRef

Calic, J.[Janko], Gibson, D.P., Campbell, N.W.,
Efficient Layout of Comic-Like Video Summaries,
CirSysVideo(17), No. 7, July 2007, pp. 931-936.
IEEE DOI 0707
BibRef

Herranz, L., Calic, J., Martinez, J.M., Mrak, M.,
Scalable Comic-Like Video Summaries and Layout Disturbance,
MultMed(14), No. 4, 2012, pp. 1290-1297.
IEEE DOI 1208
BibRef

Guironnet, M., Pellerin, D., Guyader, N., Ladret, P.,
Video Summarization Based on Camera Motion and a Subjective Evaluation Method,
JIVP(2007), 2007, pp. xx-yy.
DOI Link 0804
BibRef

Zhao, H.L.[Han-Li], Jin, X.G.[Xiao-Gang], Shen, J.B.[Jian-Bing], Mao, X.Y.[Xiao-Yang], Feng, J.Q.[Jie-Qing],
Real-time feature-aware video abstraction,
VC(24), No. 7-9, July 2008, pp. xx-yy.
Springer DOI 0804
BibRef

Zhao, H.L.[Han-Li], Mao, X.Y.[Xiao-Yang], Jin, X.G.[Xiao-Gang], Shen, J.B.[Jian-Bing], Wei, F.F.[Fei-Fei], Feng, J.[Jieqing],
Real-time saliency-aware video abstraction,
VC(25), No. 11, November 2009, pp. xx-yy.
Springer DOI 0911
BibRef

Shen, J.B.[Jian-Bing], He, Y.[Ying],
Depth-Aware Video Abstraction,
PSIVT10(475-480).
IEEE DOI 1011
BibRef

Liu, K.H.[Ken-Hao], Weng, M.F.[Ming-Fang], Tseng, C.Y.[Chi-Yao], Chuang, Y.Y.[Yung-Yu], Chen, M.S.[Ming-Syan],
Association and Temporal Rule Mining for Post-Filtering of Semantic Concept Detection in Video,
MultMed(10), No. 2, February 2008, pp. 240-251.
IEEE DOI 0905
BibRef

Weng, M.F.[Ming-Fang], Chuang, Y.Y.[Yung-Yu],
Cross-Domain Multicue Fusion for Concept-Based Video Indexing,
PAMI(34), No. 10, October 2012, pp. 1927-1941.
IEEE DOI 1208
Cues beyond image features, multiple cues, how to apply to a new domain. BibRef

Xie, L.X.[Le-Xing], Divakaran, A.[Ajay], Chang, S.F.[Shih-Fu],
Unsupervised learning of video structures in videos using hierarchical statistical models to detect events,
US_Patent7,313,269, Dec 25, 2007
WWW Link. BibRef 0712

Chang, S.F.[Shih-Fu],
Content-based video summarization and adaptation for ubiquitous media access,
CIAP03(494-496).
IEEE DOI 0310
BibRef

Cooper, M., Liu, T., Rieffel, E.[Eleanor],
Video Segmentation via Temporal Pattern Classification,
MultMed(9), No. 3, April 2007, pp. 610-618.
IEEE DOI 0905
BibRef

Chiu, P.[Patrick], Girgensohn, A.[Andreas], Polak, W.[Wolf], Rieffel, E.[Eleanor], Wilcox, L.D.[Lynn D.],
A Genetic Algorithm for Video Segmentation and Summarization,
ICME00(WA4). 0007
BibRef

Herranz, L., Martinez, J.M.,
A Framework for Scalable Summarization of Video,
CirSysVideo(20), No. 9, September 2010, pp. 1265-1270.
IEEE DOI 1003
BibRef

Ren, J., Jiang, J.,
Hierarchical Modeling and Adaptive Clustering for Real-Time Summarization of Rush Videos,
MultMed(11), No. 5, 2009, pp. 906-917.
IEEE DOI 0907
BibRef

Li, Z., Ishwar, P., Konrad, J.,
Video Condensation by Ribbon Carving,
IP(18), No. 11, November 2009, pp. 2572-2583.
IEEE DOI 0911
Remove information for the video to reduce size. Ribbon similar to seam used in image resizing. BibRef

de Avila, S.E.F.[Sandra Eliza Fontes], Brandao Lopes, A.P.[Ana Paula], da Luz Jr., A.[Antonio], de Albuquerque Araujo, A.[Arnaldo],
VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method,
PRL(31), No. 1, January 2010, pp. 56-68.
Elsevier DOI 1011
BibRef
Earlier: A1, A3, A4, Only:
VSUMM: A simple and efficient approach for automatic video summarization,
WSSIP08(449-452).
IEEE DOI 0806
Video summarization; Static video summary; Evaluation method; Clustering BibRef

Fu, Y., Guo, Y., Zhu, Y., Liu, F., Song, C., Zhou, Z.H.,
Multi-View Video Summarization,
MultMed(12), No. 7, 2010, pp. 717-729.
IEEE DOI 1011
BibRef

Shroff, N., Turaga, P.K., Chellappa, R.,
Video Précis: Highlighting Diverse Aspects of Videos,
MultMed(12), No. 8, 2010, pp. 853-868.
IEEE DOI 1011
BibRef

Benini, S.[Sergio], Migliorati, P.[Pierangelo], Leonardi, R.[Riccardo],
Hierarchical structuring of video previews by Leading-Cluster-Analysis,
SIViP(4), No. 4, November 2010, pp. 435-450.
WWW Link. 1101
BibRef
Earlier:
Fast dialogue indexing based on structure information,
ICIP08(69-72).
IEEE DOI 0810

See also Connotative Space for Supporting Movie Affective Recommendation, A. BibRef

Benini, S., Bianchetti, A., Leonardi, R., Migliorati, P.,
Extraction of Significant Video Summaries by Dendrogram Analysis,
ICIP06(133-136).
IEEE DOI 0610
BibRef

Karpenko, A.[Alexandre], Aarabi, P.[Parham],
Tiny Videos: A Large Data Set for Nonparametric Video Retrieval and Frame Classification,
PAMI(33), No. 3, March 2011, pp. 618-630.
IEEE DOI 1102
Large database, 50,000 user-labeled videos. Retain visual appearance, but high compression rate.
See also 80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition. BibRef

Kim, E., Huang, X.L.[Xiao-Lei], Tan, G.[Gang],
Markup SVG: An Online Content-Aware Image Abstraction and Annotation Tool,
MultMed(13), No. 5, 2011, pp. 993-1006.
IEEE DOI 1110
BibRef

Zhang, S.H., Li, X.Y., Hu, S.M., Martin, R.R.,
Online Video Stream Abstraction and Stylization,
MultMed(13), No. 6, 2011, pp. 1286-1294.
IEEE DOI 1112
BibRef

Wang, F., Ngo, C.W.,
Summarizing Rushes Videos by Motion, Object, and Event Understanding,
MultMed(14), No. 1, January 2012, pp. 76-87.
IEEE DOI 1201
BibRef

Geng, B., Li, Y., Tao, D., Wang, M., Zha, Z.J., Xu, C.,
Parallel Lasso for Large-Scale Video Concept Detection,
MultMed(14), No. 1, January 2012, pp. 55-65.
IEEE DOI 1201
BibRef

Tang, S., Zheng, Y.T., Wang, Y., Chua, T.S.,
Sparse Ensemble Learning for Concept Detection,
MultMed(14), No. 1, January 2012, pp. 43-54.
IEEE DOI 1201
BibRef

Ram, A.R.[A. Ranjith], Chaudhuri, S.[Subhasis],
Video Analysis and Repackaging for Distance Education,
Springer2012. ISBN 978-1-4614-3836-6


WWW Link. 1208
BibRef

Kompatsiaris, Y.[Yiannis], Merialdo, B.[Bernard], Lian, S.G.[Shi-Guo],
TV Content Analysis: Techniques and Applications,
CRC PressMay 2012. ISBN 9781439855607.


WWW Link. 1209
Content Extraction. Content Structuring. Content Recommendation. Content Quality. Web and Social TV. Content Production. BibRef

Wang, Z., Li, H., Ling, Q., Li, W.,
Robust Temporal-Spatial Decomposition and Its Applications in Video Processing,
CirSysVideo(23), No. 3, March 2013, pp. 387-400.
IEEE DOI 1303
BibRef

Omidyeganeh, M., Ghaemmaghami, S., Shirmohammadi, S.,
Group-based spatio-temporal video analysis and abstraction using wavelet parameters,
SIViP(7), No. 4, July 2013, pp. 787-798.
WWW Link. 1306
BibRef

Chen, F.[Fan], de Vleeschouwer, C., Cavallaro, A.,
Resource Allocation for Personalized Video Summarization,
MultMed(16), No. 2, February 2014, pp. 455-469.
IEEE DOI 1404
convex programming BibRef

Lu, S.Y.[Shi-Yang], Wang, Z.Y.[Zhi-Yong], Mei, T.[Tao], Guan, G.L.[Gen-Liang], Feng, D.D.,
A Bag-of-Importance Model With Locality-Constrained Coding Based Feature Learning for Video Summarization,
MultMed(16), No. 6, October 2014, pp. 1497-1509.
IEEE DOI 1410
feature extraction BibRef

Mei, S.H.[Shao-Hui], Guan, G.[Genliang], Wang, Z.Y.[Zhi-Yong], Wan, S.[Shuai], He, M.Y.[Ming-Yi], Feng, D.D.[David Dagan],
Video summarization via minimum sparse reconstruction,
PR(48), No. 2, 2015, pp. 522-533.
Elsevier DOI 1411
Video summarization BibRef

Chu, W.T.[Wei-Ta], Yu, C.H.[Chia-Hsiang], Wang, H.H.[Hsin-Han],
Optimized Comics-Based Storytelling for Temporal Image Sequences,
MultMed(17), No. 2, February 2015, pp. 201-215.
IEEE DOI 1502
genetic algorithms BibRef

Zhu, J., Feng, S., Yi, D., Liao, S., Lei, Z., Li, S.Z.,
High-Performance Video Condensation System,
CirSysVideo(25), No. 7, July 2015, pp. 1113-1124.
IEEE DOI 1507
synopsis. BibRef

Zhu, X.T.[Xia-Tian], Loy, C.C.[Chen Change], Gong, S.G.[Shao-Gang],
Learning from Multiple Sources for Video Summarisation,
IJCV(117), No. 3, May 2016, pp. 247-268.
Springer DOI 1605
BibRef
Earlier: A1, A3, A2:
Comparing Visual Feature Coding for Learning Disjoint Camera Dependencies,
BMVC12(94).
DOI Link 1301
BibRef

Mahapatra, A.[Ansuman], Sa, P.K.[Pankaj K.], Majhi, B.[Banshidhar], Padhy, S.[Sudarshan],
MVS: A multi-view video synopsis framework,
SP:IC(42), No. 1, 2016, pp. 31-44.
Elsevier DOI 1603
BibRef
Earlier: A1, A2, A3, Only:
A multi-view video synopsis framework,
ICIP15(1260-1264)
IEEE DOI 1512
Video synopsis. Multi-camera Network BibRef

Zhang, Y., Zimmermann, R.,
Efficient Summarization From Multiple Georeferenced User-Generated Videos,
MultMed(18), No. 3, March 2016, pp. 418-431.
IEEE DOI 1603
Cameras BibRef

Zhu, J., Liao, S., Li, S.Z.,
Multicamera Joint Video Synopsis,
CirSysVideo(26), No. 6, June 2016, pp. 1058-1069.
IEEE DOI 1606
Cameras BibRef

Feng, S.K.[Shi-Kun], Lei, Z.[Zhen], Yi, D.[Dong], Li, S.Z.[Stan Z.],
Online content-aware video condensation,
CVPR12(2082-2087).
IEEE DOI 1208
BibRef

Liu, Y.J., Ma, C., Zhao, G., Fu, X., Wang, H., Dai, G., Xie, L.,
An Interactive Spiral Tape Video Summarization,
MultMed(18), No. 7, July 2016, pp. 1269-1282.
IEEE DOI 1608
human computer interaction BibRef

Álvarez, J.M., Salzmann, M., Barnes, N.,
Exploiting Large Image Sets for Road Scene Parsing,
ITS(17), No. 9, September 2016, pp. 2456-2465.
IEEE DOI 1609
Computational modeling BibRef

Horne, L., Alvarez, J.M., Barnes, N.,
Exploiting Sparsity for Real Time Video Labelling,
CVVT13(632-637)
IEEE DOI 1403
graph theory BibRef

Nie, L., Hong, R., Zhang, L., Xia, Y., Tao, D., Sebe, N.,
Perceptual Attributes Optimization for Multivideo Summarization,
Cyber(46), No. 12, December 2016, pp. 2991-3003.
IEEE DOI 1612
Adaptation models BibRef

He, Y., Qu, Z., Gao, C., Sang, N.,
Fast Online Video Synopsis Based on Potential Collision Graph,
SPLetters(24), No. 1, January 2017, pp. 22-26.
IEEE DOI 1702
computational complexity BibRef

Li, K.[Kang], Li, S., Oh, S.[Sangmin], Fu, Y.[Yun],
Videography-Based Unconstrained Video Analysis,
IP(26), No. 5, May 2017, pp. 2261-2273.
IEEE DOI 1704
Cameras BibRef

Li, K.[Kang], Oh, S.[Sangmin], Perera, A.G.A.[A.G. Amitha], Fu, Y.[Yun],
A Videography Analysis Framework for Video Retrieval and Summarization,
BMVC12(126).
DOI Link 1301
BibRef

Li, X., Zhao, B., Lu, X.,
A General Framework for Edited Video and Raw Video Summarization,
IP(26), No. 8, August 2017, pp. 3652-3664.
IEEE DOI 1707
video signal processing, mixing-coefficient pair, property-weight, raw video summarization, score function, supervised manner, training set construction, training video, video content, video editing, Cameras, Data models, Dictionaries, Feature extraction, Redundancy, Training, Training data, Video summary, mixing-coefficient, property-weight, score, function BibRef

Thomas, S.S., Gupta, S., Subramanian, V.K.,
Perceptual Video Summarization: A New Framework for Video Summarization,
CirSysVideo(27), No. 8, August 2017, pp. 1790-1802.
IEEE DOI 1708
Cameras, Image registration, Manuals, Redundancy, Semantics, Visual systems, Visualization, Human visual system (HVS), perceptual video summarization, visual, perception BibRef

Panda, R., Mithun, N.C., Roy-Chowdhury, A.K.,
Diversity-Aware Multi-Video Summarization,
IP(26), No. 10, October 2017, pp. 4712-4724.
IEEE DOI 1708
minimisation, video databases, video signal processing, Tour20 benchmark data set, alternating minimization algorithm, camera network, diversity-aware multivideo summarization, diversity-aware sparse optimization method, overall objective function minimization, topic-oriented video summarization, Minimization, Optimization methods, Sensors, sparse optimization BibRef

Zhao, N.[Na], Zhang, H.W.[Han-Wang], Hong, R.C.[Ri-Chang], Wang, M.[Meng], Chua, T.S.[Tat-Seng],
VideoWhisper: Toward Discriminative Unsupervised Video Feature Learning With Attention-Based Recurrent Neural Networks,
MultMed(19), No. 9, September 2017, pp. 2080-2092.
IEEE DOI 1708
Object movement and event evolution. Feature extraction, Image reconstruction, Learning systems, Recurrent neural networks, Semantics, Video sequences, Visualization, unsupervised feature learning. BibRef

Janwe, N.J.[Nitin Jagannathrao], Bhoyar, K.K.[Kishor K.],
Semantic Video Concept Detection using Novel Mixed-Hybrid-Fusion Approach for Multi-Label Data,
ELCVIA(16), No. 3, 2017, pp. 14-29.
DOI Link 1801
BibRef

Ra, M., Kim, W.,
Parallelized Tube Rearrangement Algorithm for Online Video Synopsis,
SPLetters(25), No. 8, August 2018, pp. 1186-1190.
IEEE DOI 1808
fast Fourier transforms, matrix algebra, parallel algorithms, video signal processing, video surveillance, object tubes, video surveillance BibRef

Chamasemani, F.F.[Fereshteh Falah], Affendey, L.S.[Lilly Suriani], Mustapha, N.[Norwati], Khalid, F.[Fatimah],
Video abstraction using density-based clustering algorithm,
VC(34), No. 10, October 2018, pp. 1299-1314.
Springer DOI 1809
BibRef

Zumer, R.[Raphaël], Ratté, S.[Sylvie],
Color-independent classification of animation video,
MultInfoRetr(8), No. 3, September 2018, pp. 187-196.
Springer DOI 1809
Classification of animation video, don't rely on colors. BibRef

Wang, J.Z.[Jin-Zhuo], Wang, W.M.[Wen-Min], Gao, W.[Wen],
Multiscale Deep Alternative Neural Network for Large-Scale Video Classification,
MultMed(20), No. 10, October 2018, pp. 2578-2592.
IEEE DOI 1810
disasters, feedforward neural nets, image classification, learning (artificial intelligence), recurrent neural nets, new dataset BibRef

Valem, L.P.[Lucas Pascotti], Pedronette, D.C.G.[Daniel Carlos Guimarães], Almeida, J.[Jurandy],
Unsupervised similarity learning through Cartesian product of ranking references,
PRL(114), 2018, pp. 41-52.
Elsevier DOI 1811
BibRef
Earlier: A3, A1, A2:
A Rank Aggregation Framework for Video Interestingness Prediction,
CIAP17(I:3-14).
Springer DOI 1711
Content-based image retrieval, Unsupervised learning, Cartesian product, Effectiveness, Efficiency BibRef

Valem, L.P.[Lucas Pascotti], Pedronette, D.C.G.[Daniel Carlos Guimarães],
Graph-based selective rank fusion for unsupervised image retrieval,
PRL(135), 2020, pp. 82-89.
Elsevier DOI 2006
Content-based image retrieval, Unsupervised late fusion, Rank-aggregation, Correlation measure, Effectiveness estimation BibRef

Presotto, J.G.C.[João Gabriel Camacho], Valem, L.P.[Lucas Pascotti], Pedronette, D.C.G.[Daniel Carlos Guimarães],
Unsupervised Effectiveness Estimation Through Intersection of Ranking References,
CAIP19(II:231-244).
Springer DOI 1909
BibRef

Zhang, X.X.[Xing-Xing], Zhu, Z.F.[Zhen-Feng], Zhao, Y.[Yao],
Sparsity induced prototype learning via lp,1-norm grouping,
JVCIR(57), 2018, pp. 192-201.
Elsevier DOI 1812
Prototype, Subset selection, -norm, Sparse learning, Video summarization BibRef

Wang, L.M.[Li-Min], Li, W.[Wei], Van Gool, L.J.[Luc J.],
Appearance-and-Relation Networks for Video Classification,
CVPR18(1430-1439)
IEEE DOI 1812
Solid modeling, Spatiotemporal phenomena, Convolutional codes BibRef

Yuan, Y.T.[Yi-Tian], Mei, T.[Tao], Cui, P.[Peng], Zhu, W.W.[Wen-Wu],
Video Summarization by Learning Deep Side Semantic Embedding,
CirSysVideo(29), No. 1, January 2019, pp. 226-237.
IEEE DOI 1901
Semantics, Visualization, Loss measurement, Extraterrestrial measurements, Image reconstruction, Data models, video summarization BibRef

Kannappan, S.[Sivapriyaa], Liu, Y.H.[Yong-Huai], Tiddeman, B.[Bernard],
DFP-ALC: Automatic video summarization using Distinct Frame Patch index and Appearance based Linear Clustering,
PRL(120), 2019, pp. 8-16.
Elsevier DOI 1904
Video summarization, Distinct frame patch index, Appearance based Linear clustering, Keyframe extraction BibRef

Gharbi, H.[Hana], Bahroun, S.[Sahbi], Zagrouba, E.[Ezzeddine],
Key frame extraction for video summarization using local description and repeatability graph clustering,
SIViP(13), No. 3, April 2019, pp. 507-515.
WWW Link. 1904
BibRef

Huang, S., Li, X., Zhang, Z., Wu, F., Han, J.,
User-Ranking Video Summarization With Multi-Stage Spatio-Temporal Representation,
IP(28), No. 6, June 2019, pp. 2654-2664.
IEEE DOI 1905
convolutional neural nets, divide and conquer methods, image representation, learning (artificial intelligence), user ranking BibRef

Matthews, C.E.[Clare E.], Kuncheva, L.I.[Ludmila I.], Yousefi, P.[Paria],
Classification and comparison of on-line video summarisation methods,
MVA(30), No. 3, April 2019, pp. 507-518.
WWW Link. 1906
BibRef

Paul, M., Musfequs Salehin, M.,
Spatial and Motion Saliency Prediction Method Using Eye Tracker Data for Video Summarization,
CirSysVideo(29), No. 6, June 2019, pp. 1856-1867.
IEEE DOI 1906
Visualization, Tracking, Cameras, Image edge detection, Lighting, Surveillance, Feature extraction, Human visual field, eye tracker, smooth pursuit BibRef

Lei, J., Luan, Q., Song, X., Liu, X., Tao, D., Song, M.,
Action Parsing-Driven Video Summarization Based on Reinforcement Learning,
CirSysVideo(29), No. 7, July 2019, pp. 2126-2137.
IEEE DOI 1907
Semantics, Learning (artificial intelligence), Training, Analytical models, Labeling, Event detection, Indexes, video summarization BibRef

Thomas, S.S., Gupta, S., Subramanian, V.K.,
Context Driven Optimized Perceptual Video Summarization and Retrieval,
CirSysVideo(29), No. 10, October 2019, pp. 3132-3145.
IEEE DOI 1910
computational complexity, optimisation, video databases, video retrieval, video signal processing, multiple video shots, optimization BibRef

Atencio, P.[Pedro], German, S.T.[Sánchez-Torres], Branch, J.W.[John William], Delrieux, C.[Claudio],
Video summarisation by deep visual and categorical diversity,
IET-CV(13), No. 6, September 2019, pp. 569-577.
DOI Link 1911
BibRef

Ong, E.J.[Eng-Jon], Husain, S.S.[Syed Sameed], Bober-Irizar, M.[Mikel], Bober, M.[Miroslaw],
Deep Architectures and Ensembles for Semantic Video Classification,
CirSysVideo(29), No. 12, December 2019, pp. 3568-3582.
IEEE DOI 1912
Logic gates, Semantics, Complexity theory, Neural networks, Correlation, Training, machine learning algorithms BibRef

Jadhav, D.[Dipti], Bhosle, U.[Udhav],
Video summarisation based on motion estimation using speeded up robust features,
IJCVR(9), No. 6, 2019, pp. 569-582.
DOI Link 1912
BibRef

Zhang, Y.J.[Yu-Jia], Liang, X.D.[Xiao-Dan], Zhang, D.W.[Ding-Wen], Tan, M.[Min], Xing, E.P.[Eric P.],
Unsupervised object-level video summarization with online motion auto-encoder,
PRL(130), 2020, pp. 376-385.
Elsevier DOI 2002
Object-level video summarization, Online motion auto-encoder, Stacked sparse LSTM auto-encoder BibRef

Huang, C.[Cheng], Wang, H.M.[Hong-Mei],
A Novel Key-Frames Selection Framework for Comprehensive Video Summarization,
CirSysVideo(30), No. 2, February 2020, pp. 577-589.
IEEE DOI 2002
Feature extraction, Motion segmentation, Streaming media, Visualization, Spatiotemporal phenomena, Optical flow, transition effects detection BibRef

Xiao, S., Zhao, Z., Zhang, Z., Guan, Z., Cai, D.,
Query-Biased Self-Attentive Network for Query-Focused Video Summarization,
IP(29), 2020, pp. 5889-5899.
IEEE DOI 2005
Task analysis, Semantics, Visualization, Computational modeling, Generators, Benchmark testing, Instruments, Video summarization, self-attention mechanism BibRef

Wang, Y., Dong, Y., Guo, S., Yang, Y., Liao, X.,
Latency-Aware Adaptive Video Summarization for Mobile Edge Clouds,
MultMed(22), No. 5, May 2020, pp. 1193-1207.
IEEE DOI 2005
Bandwidth, Feature extraction, Wireless communication, Machine learning, Dictionaries, Optimization, Image edge detection, wireless bandwidth BibRef

Ji, Z., Xiong, K., Pang, Y., Li, X.,
Video Summarization With Attention-Based Encoder-Decoder Networks,
CirSysVideo(30), No. 6, June 2020, pp. 1709-1717.
IEEE DOI 2006
Decoding, Visualization, Recurrent neural networks, Additives, Indexes, Internet, Semantics, Video summarization, LSTM, attention mechanism BibRef

Ji, Z.[Zhong], Zhao, Y.X.[Yu-Xiao], Pang, Y.W.[Yan-Wei], Li, X.L.[Xue-Long],
Cross-modal guidance based auto-encoder for multi-video summarization,
PRL(135), 2020, pp. 131-137.
Elsevier DOI 2006
Multi-video summarization, Auto-encoder, Cross-modal BibRef

Hussain, T.[Tanveer], Muhammad, K.[Khan], Ding, W.P.[Wei-Ping], Lloret, J.[Jaime], Baik, S.W.[Sung Wook], de Albuquerque, V.H.C.[Victor Hugo C.],
A comprehensive survey of multi-view video summarization,
PR(109), 2021, pp. 107567.
Elsevier DOI 2009
Multi-view video summarization, Multi-sensor management, Multi-camera networks, Video summarization survey BibRef

Yuan, L., Tay, F.E.H., Li, P., Feng, J.,
Unsupervised Video Summarization With Cycle-Consistent Adversarial LSTM Networks,
MultMed(22), No. 10, October 2020, pp. 2711-2722.
IEEE DOI 2009
Generative adversarial networks, Mutual information, Annotations, Feature extraction, Bidirectional control, Benchmark testing, variation autoencoder BibRef

Xu, B.W.[Bin-Wei], Liang, H.R.[Hao-Ran], Liang, R.H.[Rong-Hua],
Video summarisation with visual and semantic cues,
IET-IPR(14), No. 13, November 2020, pp. 3134-3142.
DOI Link 2012
BibRef

Li, P.[Ping], Ye, Q.H.[Qing-Hao], Zhang, L.M.[Lu-Ming], Yuan, L.[Li], Xu, X.H.[Xiang-Hua], Shao, L.[Ling],
Exploring global diverse attention via pairwise temporal relation for video summarization,
PR(111), 2021, pp. 107677.
Elsevier DOI 2012
Global diverse attention, Pairwise temporal relation, Video summarization, Convolutional neural networks BibRef

Zhu, W., Lu, J., Li, J., Zhou, J.,
DSNet: A Flexible Detect-to-Summarize Network for Video Summarization,
IP(30), 2021, pp. 948-962.
IEEE DOI 2012
Proposals, Feature extraction, Visualization, Video sequences, Semantics, Reinforcement learning, Training, Video summarization, temporal modeling BibRef

Singh Parihar, A.[Anil], Pal, J.[Joyeeta], Sharma, I.[Ishita],
Multiview video summarization using video partitioning and clustering,
JVCIR(74), 2021, pp. 102991.
Elsevier DOI 2101
Video summarization, Surveillance videos, Multiview video, Video partition, Clustering BibRef

Mei, S.H.[Shao-Hui], Ma, M.Y.[Ming-Yang], Wan, S.[Shuai], Hou, J.H.[Jun-Hui], Wang, Z.Y.[Zhi-Yong], Feng, D.D.[David Dagan],
Patch Based Video Summarization With Block Sparse Representation,
MultMed(23), 2021, pp. 732-747.
IEEE DOI 2102
BibRef
Earlier: A2, A1, A3, A4, A5, A6:
Video Summarization via Simultaneous Block Sparse Representation,
DICTA17(1-7)
IEEE DOI 1804
feature extraction, image reconstruction, image representation, iterative methods, video signal processing, block sparse representation. Image matching, image representation, image sequences, iterative methods, optimisation, video signal processing, SBOMP, VS, Signal processing algorithms BibRef

Ma, M.Y.[Ming-Yang], Mei, S.H.[Shao-Hui], Wan, S.[Shuai], Wang, Z.Y.[Zhi-Yong], Feng, D.D.[David Dagan], Bennamoun, M.[Mohammed],
Similarity Based Block Sparse Subset Selection for Video Summarization,
CirSysVideo(31), No. 10, October 2021, pp. 3967-3980.
IEEE DOI 2110
Sparse matrices, Kernel, Encoding, Feature extraction, Dictionaries, Task analysis, Computational modeling, Video summarization, block sparsity BibRef

Wu, X.[Xiao], Ma, M.Y.[Ming-Yang], Wan, S.[Shuai], Han, X.X.[Xiu-Xiu], Mei, S.H.[Shao-Hui],
Multi-scale deep feature fusion based sparse dictionary selection for video summarization,
SP:IC(118), 2023, pp. 117006.
Elsevier DOI 2310
Video summarization, Keyframe, Sparse coding, Dictionary selection, Multi-scale BibRef

Chen, X.N.[Xiao-Ning], Ma, M.Y.[Ming-Yang], Yang, R.F.[Run-Feng], Peng, Y.[Yong],
Multiview feature co-factorization based dictionary selection for video summarization,
IET-IPR(18), No. 2, 2024, pp. 439-454.
DOI Link 2402
image sequences, video signal processing BibRef

Ma, M.Y.[Ming-Yang], Mei, S.H.[Shao-Hui], Wan, S.[Shuai], Wang, Z.Y.[Zhi-Yong], Tsoi, A.C., Feng, D.D.[David Dagan],
Video Summarization via Weighted Neighborhood Based Representation,
ICIP18(1273-1277)
IEEE DOI 1809
Indexes, Correlation, Robustness, Dictionaries, Information technology, Australia, Explosives, Video summarization, weighted neighborhood BibRef

Fu, H.[Hao], Wang, H.X.[Hong-Xing],
Self-attention binary neural tree for video summarization,
PRL(143), 2021, pp. 19-26.
Elsevier DOI 2102
Video summarization, Self-attention, Decision tree, Deep learning BibRef

Zhong, R.[Rui], Wang, R.[Rui], Zou, Y.[Yang], Hong, Z.Q.[Zhi-Qiang], Hu, M.[Min],
Graph Attention Networks Adjusted Bi-LSTM for Video Summarization,
SPLetters(28), 2021, pp. 663-667.
IEEE DOI 2104
Visualization, Feature extraction, Semantics, Transforms, Redundancy, Mathematical model, Histograms, Graph attention networks, Bi-LSTM, unsupervised learning BibRef

Gao, J.Y.[Jun-Yu], Yang, X.S.[Xiao-Shan], Zhang, Y.Y.[Ying-Ying], Xu, C.S.[Chang-Sheng],
Unsupervised Video Summarization via Relation-Aware Assignment Learning,
MultMed(23), 2021, pp. 3203-3214.
IEEE DOI 2109
Feature extraction, Training, Optimization, Semantics, Recurrent neural networks, Task analysis, Graph neural network, video summarization BibRef

Apostolidis, E.[Evlampios], Adamantidou, E.[Eleni], Metsai, A.I.[Alexandros I.], Mezaris, V.[Vasileios], Patras, I.[Ioannis],
Video Summarization Using Deep Neural Networks: A Survey,
PIEEE(109), No. 11, November 2021, pp. 1838-1863.
IEEE DOI 2112
Survey, Summarization. Training data, Deep learning, Taxonomy, Systematics, Recurrent neural networks, VIdeo sequences, Neural networks, video summarization BibRef

Zhu, W.C.[Wen-Cheng], Lu, J.W.[Ji-Wen], Han, Y.C.[Yu-Cheng], Zhou, J.[Jie],
Learning multiscale hierarchical attention for video summarization,
PR(122), 2022, pp. 108312.
Elsevier DOI 2112
Video summarization, Hierarchical structure, Attention models, Multiscale temporal representation, Two-stream framework BibRef

Liu, J.X.[Ji-Xin], Yu, D.[Dan], Tang, Z.[Zheng],
Video summary generation by visual shielding compressed sensing coding and double-layer affinity propagation,
JVCIR(81), 2021, pp. 103321.
Elsevier DOI 2112
Visual shielding, Video summary technology, Compressed sensing, Double-layer affinity propagation, Feature fusion BibRef

Liu, T.R.[Tian-Rui], Meng, Q.J.[Qing-Jie], Huang, J.J.[Jun-Jie], Vlontzos, A.[Athanasios], Rueckert, D.[Daniel], Kainz, B.[Bernhard],
Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net,
IP(31), 2022, pp. 1573-1586.
IEEE DOI 2202
Feature extraction, Biomedical imaging, Reinforcement learning, Task analysis, Solid modeling, Training, Video summarization, ultrasound BibRef

Ma, M.Y.[Ming-Yang], Mei, S.H.[Shao-Hui], Wan, S.[Shuai], Wang, Z.Y.[Zhi-Yong], Hua, X.S.[Xian-Sheng], Feng, D.D.[David Dagan],
Graph Convolutional Dictionary Selection With L2,? Norm for Video Summarization,
IP(31), 2022, pp. 1789-1804.
IEEE DOI 2202
Dictionaries, Image reconstruction, Optimization, Redundancy, Convolution, Deep learning, Visualization, Video summarization BibRef

Shin, J.[Jungkyoo], Moon, J.Y.[Jin-Young],
Learning to combine the modalities of language and video for temporal moment localization,
CVIU(217), 2022, pp. 103375.
Elsevier DOI 2203
Temporal moment localization, Temporal video localization, Temporal video grounding, Cross-modal integration, Boundary alignment BibRef

Zhao, B.[Bin], Li, H.[Haopeng], Lu, X.Q.[Xiao-Qiang], Li, X.L.[Xue-Long],
Reconstructive Sequence-Graph Network for Video Summarization,
PAMI(44), No. 5, May 2022, pp. 2793-2801.
IEEE DOI 2204
Generators, Task analysis, Streaming media, Interference, Predictive models, Optics, Diversity reception, Key-shot, summary generator BibRef

Zhu, W.C.[Wen-Cheng], Han, Y.C.[Yu-Cheng], Lu, J.W.[Ji-Wen], Zhou, J.[Jie],
Relational Reasoning Over Spatial-Temporal Graphs for Video Summarization,
IP(31), 2022, pp. 3017-3031.
IEEE DOI 2205
Cognition, Proposals, Visualization, Feature extraction, Video sequences, Adversarial machine learning, relational reasoning BibRef

Chen, J.W.[Jia-Wei], Wang, J.[Jian], Wang, X.C.[Xin-Chao], Wang, X.[Xingen], Feng, Z.[Zunlei], Liu, R.[Ruitao], Song, M.L.[Ming-Li],
CoEvo-Net: Coevolution Network for Video Highlight Detection,
CirSysVideo(32), No. 6, June 2022, pp. 3788-3797.
IEEE DOI 2206
Task analysis, Feature extraction, Annotations, Video description, Toy manufacturing industry, Image segmentation, Grounding, multi-modality BibRef

Liang, G.Q.[Guo-Qiang], Lv, Y.B.[Yan-Bing], Li, S.[Shucheng], Zhang, S.Z.[Shi-Zhou], Zhang, Y.N.[Yan-Ning],
Video summarization with a convolutional attentive adversarial network,
PR(131), 2022, pp. 108840.
Elsevier DOI 2208
Video summarization, Generative adversarial network, Self attention BibRef

Zhang, P.C.[Peng-Cheng], Zhao, Z.[Zhou], Wang, N.N.[Nan-Nan], Yu, J.[Jun], Wu, F.[Fei],
Local-Global Graph Pooling via Mutual Information Maximization for Video-Paragraph Retrieval,
CirSysVideo(32), No. 10, October 2022, pp. 7133-7146.
IEEE DOI 2210
Videos, Mutual information, Motion segmentation, Task analysis, Semantics, Graph neural networks, Feature extraction, video-paragraph retrieval BibRef

Otani, M.[Mayu], Song, Y.[Yale], Wang, Y.[Yang],
Video Summarization Overview,
FTCGV(13), No. 4, 2022, pp. 284-335.
DOI Link 2210
Survey, Summarization. BibRef

Sahu, A.[Abhimanyu], Chowdhury, A.S.[Ananda S.],
Egocentric video co-summarization using transfer learning and refined random walk on a constrained graph,
PR(134), 2023, pp. 109128.
Elsevier DOI 2212
Egocentric video, Transfer learning, Constrained graph, Random walks, Label refinement BibRef

Panda, R.[Rameswar], Kuanar, S.K.[Sanjay K.], Chowdhury, A.S.[Ananda S.],
Scalable Video Summarization Using Skeleton Graph and Random Walk,
ICPR14(3481-3486)
IEEE DOI 1412
Clustering algorithms BibRef

Narwal, P.[Pulkit], Duhan, N.[Neelam], Kumar Bhatia, K.[Komal],
A comprehensive survey and mathematical insights towards video summarization,
JVCIR(89), 2022, pp. 103670.
Elsevier DOI 2212
Video Summarization, Video Abstraction, Video Segmentation, Prior Knowledge, Dynamic Video Summary, Personalized Video Summary BibRef

Ma, C.X.[Cai-Xia], Lyu, L.[Lei], Lu, G.L.[Guo-Liang], Lyu, C.[Chen],
Adaptive Multiview Graph Difference Analysis for Video Summarization,
CirSysVideo(32), No. 12, December 2022, pp. 8795-8808.
IEEE DOI 2212
Feature extraction, Streaming media, Real-time systems, Visualization, Adaptation models, Video sequences, Multiview graph, video summarization BibRef

Yuan, Y.[Ye], Zhang, J.[Jiawan],
Unsupervised Video Summarization via Deep Reinforcement Learning With Shot-Level Semantics,
CirSysVideo(33), No. 1, January 2023, pp. 445-456.
IEEE DOI 2301
Semantics, Feature extraction, Reinforcement learning, Image color analysis, Convolutional neural networks, shot-level semantics BibRef

Ramos, W.[Washington], Silva, M.[Michel], Araujo, E.[Edson], Moura, V.[Victor], Oliveira, K.[Keller], Marcolino, L.S.[Leandro Soriano], Nascimento, E.R.[Erickson R.],
Text-Driven Video Acceleration: A Weakly-Supervised Reinforcement Learning Method,
PAMI(45), No. 2, February 2023, pp. 2492-2504.
IEEE DOI 2301
Shorter video with content of longer one. Semantics, Visualization, Task analysis, Reinforcement learning, Training, Social networking (online), Tutorials, Untrimmed videos, reinforcement learning BibRef

Zhang, Y.Z.[Yun-Zuo], Liu, Y.[Yameng], Zhu, P.F.[Peng-Fei], Kang, W.[Weili],
Joint Reinforcement and Contrastive Learning for Unsupervised Video Summarization,
SPLetters(29), 2022, pp. 2587-2591.
IEEE DOI 2301
Semantics, Training, Encoding, Annotations, Visualization, Generative adversarial networks, GRU BibRef

Li, H.P.[Hao-Peng], Ke, Q.H.[Qiu-Hong], Gong, M.M.[Ming-Ming], Zhang, R.[Rui],
Video Joint Modelling Based on Hierarchical Transformer for Co-Summarization,
PAMI(45), No. 3, March 2023, pp. 3904-3917.
IEEE DOI 2302
Transformers, Semantics, Correlation, Computational modeling, Training, Task analysis, Video on demand, Video summarization, representation reconstruction BibRef

Li, Y.J.[Yu-Jie], Li, Z.[Zhenni], Tan, B.[Benying], Ding, S.[Shuxue],
A DCA-based sparse coding for video summarization with MCP,
IET-IPR(17), No. 5, 2023, pp. 1564-1577.
DOI Link 2304
image processing, image segmentation, signal processing, sparse matrices, video signal processing BibRef

Zhu, Y.[Yubo], Zhao, W.[Wentian], Hua, R.[Rui], Wu, X.X.[Xin-Xiao],
Topic-aware video summarization using multimodal transformer,
PR(140), 2023, pp. 109578.
Elsevier DOI 2305
Topic-aware video summarization, Multimodal transformer, Video summarization dataset BibRef

Hsu, T.C.[Tzu-Chun], Liao, Y.S.[Yi-Sheng], Huang, C.R.[Chun-Rong],
Video Summarization With Spatiotemporal Vision Transformer,
IP(32), 2023, pp. 3013-3026.
IEEE DOI 2306
BibRef
Earlier:
Video Summarization With Frame Index Vision Transformer,
MVA21(1-5)
DOI Link 2109
Correlation, Transformers, Spatiotemporal phenomena, Indexes, Generative adversarial networks, Feature extraction, multi-frame loss. Training, Deep learning, Recurrent neural networks, Streaming media, Real-time systems, Computational efficiency BibRef

Yuan, J.S.[Jing-Shu], Yun, J.[Jing], Zheng, B.[Bofei], Jiao, L.[Lei], Liu, L.M.[Li-Min],
MCR: Multilayer cross-fusion with reconstructor for multimodal abstractive summarisation,
IET-CV(17), No. 4, 2023, pp. 389-403.
DOI Link 2306
multimedia systems, natural language processing BibRef

Zhong, R.[Rui], Wang, R.[Rui], Yao, W.J.[Wen-Jin], Hu, M.[Min], Dong, S.[Shi], Munteanu, A.[Adrian],
Semantic Representation and Attention Alignment for Graph Information Bottleneck in Video Summarization,
IP(32), 2023, pp. 4170-4184.
IEEE DOI 2307
Visualization, Semantics, Feature extraction, Representation learning, Training, Context modeling, Surveillance, Bi-LSTM BibRef

Xu, Y.F.[Yi-Fei], Li, X.[Xiangshun], Pan, L.[Litong], Sang, W.G.[Wei-Guang], Wei, P.P.[Ping-Ping], Zhu, L.[Li],
Self-Supervised Adversarial Video Summarizer With Context Latent Sequence Learning,
CirSysVideo(33), No. 8, August 2023, pp. 4122-4136.
IEEE DOI 2308
Task analysis, Training, Semantics, Generators, Generative adversarial networks, Predictive models, context latent sequence learning BibRef

Liu, N.[Nayu], Sun, X.[Xian], Yu, H.F.[Hong-Feng], Yao, F.L.[Fang-Long], Xu, G.L.[Guang-Luan], Fu, K.[Kun],
Abstractive Summarization for Video: A Revisit in Multistage Fusion Network With Forget Gate,
MultMed(25), 2023, pp. 3296-3310.
IEEE DOI 2309
BibRef

Su, M.[Min], Ma, R.[Ran], Zhang, B.[Bing], Li, K.[Kai],
Recurrent unit augmented memory network for video summarisation,
IET-CV(17), No. 6, 2023, pp. 710-721.
DOI Link 2310
computer vision, neural nets BibRef

Carichon, F.[Florian], Fettu, F.[Florent], Caporossi, G.[Gilles],
Unsupervised update summarization of news events,
PR(144), 2023, pp. 109839.
Elsevier DOI 2310
Natural language processing, Neural network, Automatic document summarization, Unsupervised approach, Information novelty BibRef

Köprü, B.[Berkay], Erzin, E.[Engin],
Use of Affective Visual Information for Summarization of Human-Centric Videos,
AffCom(14), No. 4, October 2023, pp. 3135-3148.
IEEE DOI 2312
BibRef

Zhang, Y.Z.[Yun-Zuo], Zhu, P.F.[Peng-Fei], Zheng, T.T.[Ting-Ting], Yu, P.[Puze], Wang, J.M.[Jian-Ming],
Surveillance video synopsis framework base on tube set,
JVCIR(98), 2024, pp. 104057.
Elsevier DOI 2402
Surveillance video, Video synopsis, Tube set, Judge interactivity, Mapping model BibRef

Wu, G.[GuangLi], Wang, S.[ShengTao], Xu, S.[ShiPeng],
Feature fusion over hyperbolic graph convolution networks for video summarisation,
IET-CV(18), No. 1, 2024, pp. 150-164.
DOI Link 2403
attention mechanism, graph neural network, hyperbolic space, neural nets, video summarisation BibRef


Abbasi, M.[Mehryar], Saeedi, P.[Parvaneh],
Adopting Self-Supervised Learning into Unsupervised Video Summarization through Restorative Score.,
ICIP23(425-429)
IEEE DOI 2312
BibRef

Huang, J.H.[Jia-Hong], Murn, L.[Luka], Mrak, M.[Marta], Worring, M.[Marcel],
Query-Based Video Summarization with Pseudo Label Supervision,
ICIP23(1430-1434)
IEEE DOI 2312
BibRef

Liang, M.[Mengnan], Liu, J.[Ju], Liu, X.X.[Xiao-Xi], Gu, L.C.[Ling-Chen],
Video Summarization Through Fine-Grained Hierarchical Modeling with Multi-Dimensional Features,
ICIP23(146-150)
IEEE DOI 2312
BibRef

He, B.[Bo], Wang, J.[Jun], Qiu, J.[Jielin], Bui, T.[Trung], Shrivastava, A.[Abhinav], Wang, Z.W.[Zhao-Wen],
Align and Attend: Multimodal Summarization with Dual Contrastive Losses,
CVPR23(14867-14878)
IEEE DOI 2309
BibRef

Huang, J.H.[Jia-Hong], Yang, C.H.H.[Chao-Han Huck], Chen, P.Y.[Pin-Yu], Chen, M.H.[Min-Hung], Worring, M.[Marcel],
Causalainer: Causal Explainer for Automatic Video Summarization,
NFVLR23(2630-2636)
IEEE DOI 2309
BibRef

Terbouche, H.[Hacene], Morel, M.[Maryan], Rodriguez, M.[Mariano], Othmani, A.[Alice],
Multi-Annotation Attention Model for Video Summarization,
HVU23(3143-3152)
IEEE DOI 2309
BibRef

Li, H.P.[Hao-Peng], Ke, Q.H.[Qiu-Hong], Gong, M.M.[Ming-Ming], Drummond, T.[Tom],
Progressive Video Summarization via Multimodal Self-supervised Learning,
WACV23(5573-5582)
IEEE DOI 2302
Training, Deep learning, Correlation coefficient, Annotations, Semantics, Neural networks, Vision + language and/or other modalities BibRef

Pang, Z.S.[Zong-Shang], Nakashima, Y.[Yuta], Otani, M.[Mayu], Nagahara, H.[Hajime],
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization,
WACV23(2009-2018)
IEEE DOI 2302
Measurement, Representation learning, Training, Refining, Pipelines, Task analysis BibRef

Theisen, W.[William], Cedre, D.G.[Daniel Gonzalez], Carmichael, Z.[Zachariah], Moreira, D.[Daniel], Weninger, T.[Tim], Scheirer, W.[Walter],
Motif Mining: Finding and Summarizing Remixed Image Content,
WACV23(1319-1328)
IEEE DOI 2302
Social networking (online), Pipelines, Observers, Media, Market research, Software, Applications: Social good, Visualization BibRef

Wu, G.[Guande], Lin, J.Z.[Jian-Zhe], Silva, C.T.[Claudio T.],
IntentVizor: Towards Generic Query Guided Interactive Video Summarization,
CVPR22(10493-10502)
IEEE DOI 2210
Convolutional codes, Visual analytics, Prototypes, Benchmark testing, Information retrieval, Pattern recognition, Vision+graphics BibRef

Jiang, H.[Hao], Mu, Y.D.[Ya-Dong],
Joint Video Summarization and Moment Localization by Cross-Task Sample Transfer,
CVPR22(16367-16377)
IEEE DOI 2210
Location awareness, Training, Machine vision, Semantics, Collaboration, Training data, Vision+language, Vision applications and systems BibRef

Xu, M.H.[Ming-Hao], Wang, H.[Hang], Ni, B.B.[Bing-Bing], Zhu, R.H.[Ri-Heng], Sun, Z.B.[Zhen-Bang], Wang, C.H.[Chang-Hu],
Cross-category Video Highlight Detection via Set-based Learning,
ICCV21(7950-7959)
IEEE DOI 2203
Codes, Social networking (online), Annotations, Detectors, Benchmark testing, Task analysis, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Badamdorj, T.[Taivanbat], Rochan, M.[Mrigank], Wang, Y.[Yang], Cheng, L.[Li],
Joint Visual and Audio Learning for Video Highlight Detection,
ICCV21(8107-8117)
IEEE DOI 2203
Visualization, Benchmark testing, Noise measurement, Video analysis and understanding, Vision + other modalities BibRef

Bhattacharya, U.[Uttaran], Wu, G.[Gang], Petrangeli, S.[Stefano], Swaminathan, V.[Viswanathan], Manocha, D.[Dinesh],
HighlightMe: Detecting Highlights from Human-Centric Videos,
ICCV21(8137-8147)
IEEE DOI 2203
Benchmark testing, Faces, Videos, Video analysis and understanding, BibRef

Ye, Q.H.[Qing-Hao], Shen, X.[Xiyue], Gao, Y.[Yuan], Wang, Z.R.[Zi-Rui], Bi, Q.[Qi], Li, P.[Ping], Yang, G.[Guang],
Temporal Cue Guided Video Highlight Detection with Low-Rank Audio-Visual Fusion,
ICCV21(7930-7939)
IEEE DOI 2203
Visualization, Tensors, Annotations, Social networking (online), Filtering, Supervised learning, Feature extraction, Vision + other modalities BibRef

Ravi, H.[Hareesh], Kafle, K.[Kushal], Cohen, S.[Scott], Brandt, J.[Jonathan], Kapadia, M.[Mubbasir],
AESOP: Abstract Encoding of Stories, Objects, and Pictures,
ICCV21(2032-2043)
IEEE DOI 2203
Measurement, Visualization, Computational modeling, Benchmark testing, Encoding, Cognition, Vision + language, Visual reasoning and logical representation BibRef

Saquil, Y.[Yassir], Chen, D.[Da], He, Y.[Yuan], Li, C.[Chuan], Yang, Y.L.[Yong-Liang],
Multiple Pairwise Ranking Networks for Personalized Video Summarization,
ICCV21(1698-1707)
IEEE DOI 2203
Benchmark testing, Task analysis, Video analysis and understanding, Image and video manipulation detection and integrity methods. BibRef

Elfeki, M.[Mohamed], Wang, L.Q.[Li-Qiang], Borji, A.[Ali],
Multi-stream dynamic video Summarization,
WACV22(185-195)
IEEE DOI 2202
Visualization, Benchmark testing, Cameras, Reliability engineering, Robustness, Internet, Datasets, Scene Understanding BibRef

Kaseris, M.[Michail], Mademlis, I.[Ioannis], Pitas, I.[Ioannis],
Adversarial Unsupervised Video Summarization Augmented With Dictionary Loss,
ICIP21(2683-2687)
IEEE DOI 2201
Training, Dictionaries, Machine learning, Image reconstruction, Optimization, Video summarization, Unsupervised key-frame extraction BibRef

Reboud, A.[Alison], Troncy, R.[Raphaël],
What You Say Is Not What You Do: Studying Visio-Linguistic Models for TV Series Summarization,
CLVL21(3142-3146)
IEEE DOI 2112
Visualization, TV, Computational modeling, Data visualization, Computer architecture BibRef

Yu, Y.J.[Young-Jae], Chung, J.[Jiwan], Yun, H.S.[Hee-Seung], Kim, J.S.[Jong-Seok], Kim, G.[Gunhee],
Transitional Adaptation of Pretrained Models for Visual Storytelling,
CVPR21(12653-12663)
IEEE DOI 2111
Measurement, Visualization, Adaptation models, Computational modeling, Generators, Pattern recognition BibRef

Li, Z.[Zutong], Yang, L.[Lei],
Weakly Supervised Deep Reinforcement Learning for Video Summarization With Semantically Meaningful Reward,
WACV21(3238-3246)
IEEE DOI 2106
Training, Correlation coefficient, Correlation, Semantics, Diversity reception, Reinforcement learning BibRef

Shemer, Y.[Yair], Rotman, D.[Daniel], Shimkin, N.[Nahum],
ILS-SUMM: Iterated Local Search for Unsupervised Video Summarization,
ICPR21(1259-1266)
IEEE DOI 2105
Greedy algorithms, Scalability, Current measurement, Buildings, Tools, Search problems, Pattern recognition BibRef

Fu, H.[Hao], Wang, H.X.[Hong-Xing], Yang, J.Y.[Jian-Yu],
Video Summarization with a Dual Attention Capsule Network,
ICPR21(446-451)
IEEE DOI 2105
Fuses, Parallel processing, Benchmark testing, Pattern recognition, Labeling BibRef

Li, W.X.[Wen-Xu], Pan, G.[Gang], Wang, C.[Chen], Xing, Z.[Zhen], Zhou, X.Z.[Xiao-Zhou], Dong, X.X.[Xiao-Xuan], Zhang, J.W.[Jia-Wan],
From Coarse to Fine: Hierarchical Structure-aware Video Summarization,
MLCSA20(75-87).
Springer DOI 2103
BibRef

Liu, Y.T.[Yen-Ting], Li, Y.J.[Yu-Jhe], Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Transforming Multi-concept Attention into Video Summarization,
ACCV20(V:498-513).
Springer DOI 2103
BibRef

Jung, Y.J.[Yun-Jae], Cho, D.Y.[Dongh-Yeon], Woo, S.Y.[Sangh-Yun], Kweon, I.S.[In So],
Global-and-local Relative Position Embedding for Unsupervised Video Summarization,
ECCV20(XXV:167-183).
Springer DOI 2011
BibRef

Park, J.[Jungin], Lee, J.Y.[Ji-Young], Kim, I.J.[Ig-Jae], Sohn, K.H.[Kwang-Hoon],
Sumgraph: Video Summarization via Recursive Graph Modeling,
ECCV20(XXV:647-663).
Springer DOI 2011
BibRef

Rochan, M.[Mrigank], Reddy, M.K.K.[Mahesh Kumar Krishna], Ye, L.W.[Lin-Wei], Wang, Y.[Yang],
Adaptive Video Highlight Detection by Learning from User History,
ECCV20(XXI:261-278).
Springer DOI 2011
BibRef

Ramos, W.L.S., Silva, M.M., Araujo, E.R., Neves, A.C., Neves, A.C.,
Personalizing Fast-Forward Videos Based on Visual and Textual Features from Social Network,
WACV20(3260-3269)
IEEE DOI 2006
Videos, Semantics, Visualization, Twitter, Aerospace electronics, Tools BibRef

Kwon, H., Shim, W., Cho, M.,
Temporal U-Nets for Video Summarization with Scene and Action Recognition,
CoView19(1541-1544)
IEEE DOI 2004
convolutional neural nets, feature extraction, image motion analysis, image representation, video coding, Action Recognition BibRef

Park, J., Lee, J., Jeon, S., Sohn, K.,
Video Summarization by Learning Relationships between Action and Scene,
CoView19(1545-1552)
IEEE DOI 2004
feature extraction, image motion analysis, image recognition, image representation, image segmentation, video understanding BibRef

Elhamifar, E., Naing, Z.,
Unsupervised Procedure Learning via Joint Dynamic Summarization,
ICCV19(6340-6349)
IEEE DOI 2004
computational complexity, concave programming, greedy algorithms, image representation, unsupervised learning, Heuristic algorithms BibRef

Apostolidis, E.[Evlampios], Adamantidou, E.[Eleni], Metsai, A.I.[Alexandros I.], Mezaris, V.[Vasileios], Patras, I.[Ioannis],
Unsupervised Video Summarization via Attention-driven Adversarial Learning,
MMMod20(I:492-504).
Springer DOI 2003
BibRef

Feichtenhofer, C.[Christoph],
X3D: Expanding Architectures for Efficient Video Recognition,
CVPR20(200-210)
IEEE DOI 2008
Spatial resolution, ISO Standards, Computational modeling BibRef

Wu, C.Y.[Chao-Yuan], Feichtenhofer, C.[Christoph], Fan, H.[Haoqi], He, K.[Kaiming], Krahenbuhl, P.[Philipp], Girshick, R.[Ross],
Long-Term Feature Banks for Detailed Video Understanding,
CVPR19(284-293).
IEEE DOI 2002
BibRef

Rochan, M.[Mrigank], Wang, Y.[Yang],
Video Summarization by Learning From Unpaired Data,
CVPR19(7894-7903).
IEEE DOI 2002
BibRef

Otani, M.[Mayu], Nakashima, Y.[Yuta], Rahtu, E.[Esa], Heikkila, J.[Janne],
Rethinking the Evaluation of Video Summaries,
CVPR19(7588-7596).
IEEE DOI 2002
BibRef

Hu, C., Yeh, M.,
A Topological Data Analysis Approach to Video Summarization,
ICIP19(1815-1819)
IEEE DOI 1910
Video summarization, topological data analysis, video processing BibRef

Liu, Y., Li, Y., Yang, F., Chen, S., Wang, Y.F.,
Learning Hierarchical Self-Attention for Video Summarization,
ICIP19(3377-3381)
IEEE DOI 1910
Video Summarization, Hierarchical Structure, Attention Model, Deep Learning BibRef

Mo, L.B.[Ling-Bo], Zhang, C.H.[Chun-Hong], Ji, Y.[Yang], Hu, Z.[Zheng],
Adversarial Learning for Visual Storytelling with Sense Group Partition,
ACCV18(IV:175-190).
Springer DOI 1906
generation of a paragraph to describe the content of a photo stream. BibRef

Fu, T., Tai, S., Chen, H.,
Attentive and Adversarial Learning for Video Summarization,
WACV19(1579-1587)
IEEE DOI 1904
convolutional neural nets, image sequences, learning (artificial intelligence), video signal processing, Feature extraction BibRef

Elfeki, M., Borji, A.,
Video Summarization Via Actionness Ranking,
WACV19(754-763)
IEEE DOI 1904
image motion analysis, learning (artificial intelligence), video signal processing, learning algorithm, actionness data, Complexity theory BibRef

Kaushal, V., Subramanian, S., Kothawade, S., Iyer, R., Ramakrishnan, G.,
A Framework Towards Domain Specific Video Summarization,
WACV19(666-675)
IEEE DOI 1904
feature extraction, image segmentation, image sequences, unsupervised learning, video signal processing, video content, Deep learning BibRef

Lal, S., Duggal, S., Sreedevi, I.,
Online Video Summarization: Predicting Future to Better Summarize Present,
WACV19(471-480)
IEEE DOI 1904
unsupervised learning, video signal processing, online video summarization, entire video, Cost function BibRef

Kaushal, V., Iyer, R., Doctor, K., Sahoo, A., Dubal, P., Kothawade, S., Mahadev, R., Dargan, K., Ramakrishnan, G.,
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance,
WACV19(452-461)
IEEE DOI 1904
feature extraction, learning (artificial intelligence), query processing, video signal processing, Face recognition BibRef

Casas, L.L.[Luis Lebron], Koblents, E.[Eugenia],
Video Summarization with LSTM and Deep Attention Models,
MMMod19(II:67-79).
Springer DOI 1901
BibRef

Mademlis, I.[Ioannis], Tefas, A.[Anastasios], Pitas, I.[Ioannis],
Greedy Salient Dictionary Learning for Activity Video Summarization,
MMMod19(I:578-589).
Springer DOI 1901
BibRef

Wei, D.L.[Dong-Lai], Lim, J.[Joseph], Zisserman, A.[Andrew], Freeman, W.T.[William T.],
Learning and Using the Arrow of Time,
CVPR18(8052-8060)
IEEE DOI 1812
Videos, Cameras, Visualization, Task analysis, Codecs, Convolution, Physics BibRef

Richard, A.[Alexander], Kuehne, H.[Hilde], Iqbal, A.[Ahsan], Gall, J.[Juergen],
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning,
CVPR18(7386-7395)
IEEE DOI 1812
Hidden Markov models, Training, Streaming media, Viterbi algorithm, Task analysis, Neural networks, Context modeling BibRef

Wang, H.Z.[Han-Zhang], Wang, H.L.[Han-Li], Xu, K.S.[Kai-Sheng],
Categorizing Concepts with Basic Level for Vision-to-Language,
CVPR18(4962-4970)
IEEE DOI 1812
Task analysis, Visualization, Semantics, Neural networks, Cognition, Natural languages, Cats BibRef

Lee, S., Sung, J., Yu, Y., Kim, G.,
A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos,
CVPR18(1410-1419)
IEEE DOI 1812
Videos, Task analysis, Visualization, Cameras, Computational modeling, Training, Recurrent neural networks BibRef

Zhao, B., Li, X., Lu, X.,
HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization,
CVPR18(7405-7414)
IEEE DOI 1812
Feature extraction, Motion segmentation, Streaming media, Visualization, Tools, Machine learning BibRef

Kanehira, A., Van Gool, L.J., Ushiku, Y., Harada, T.,
Viewpoint-Aware Video Summarization,
CVPR18(7435-7444)
IEEE DOI 1812
Optimization, Buildings, Redundancy, Training, Semantics, Cameras, Web and internet services BibRef

Yousefi, P.[Paria], Matthews, C.E.[Clare E.], Kuncheva, L.I.[Ludmila I.],
Budget-Constrained Online Video Summarisation of Egocentric Video Using Control Charts,
ISVC18(640-649).
Springer DOI 1811
BibRef

Wang, X.L.[Xiao-Long], Gupta, A.[Abhinav],
Videos as Space-Time Region Graphs,
ECCV18(VI: 413-431).
Springer DOI 1810
BibRef

Zhang, K.[Ke], Grauman, K.[Kristen], Sha, F.[Fei],
Retrospective Encoders for Video Summarization,
ECCV18(VIII: 391-408).
Springer DOI 1810
BibRef

Xiong, Y.L.[Yi-Lei], Dai, B.[Bo], Lin, D.[Dahua],
Move Forward and Tell: A Progressive Generator of Video Descriptions,
ECCV18(XI: 489-505).
Springer DOI 1810
Generate text to describe a video. BibRef

Rochan, M.[Mrigank], Ye, L.W.[Lin-Wei], Wang, Y.[Yang],
Video Summarization Using Fully Convolutional Sequence Networks,
ECCV18(XII: 358-374).
Springer DOI 1810
BibRef

Li, Y.D.[Yan-Dong], Wang, L.Q.[Li-Qiang], Yang, T.B.[Tian-Bao], Gong, B.Q.[Bo-Qing],
How Local Is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization,
ECCV18(VIII: 156-174).
Springer DOI 1810
BibRef

Sharghi, A.[Aidean], Borji, A.[Ali], Li, C.T.[Cheng-Tao], Yang, T.B.[Tian-Bao], Gong, B.Q.[Bo-Qing],
Improving Sequential Determinantal Point Processes for Supervised Video Summarization,
ECCV18(III: 533-550).
Springer DOI 1810
BibRef

Datt, M., Mukhopadhyay, J.,
Content Based Video Summarization: Finding Interesting Temporal Sequences of Frames,
ICIP18(1268-1272)
IEEE DOI 1809
YouTube, Training, Task analysis, Predictive models, Computational modeling, Benchmark testing, Machine learning, CNN BibRef

Choi, J., Oh, T.H., Kweon, I.S.[In So],
Contextually Customized Video Summaries Via Natural Language,
WACV18(1718-1726)
IEEE DOI 1806
image segmentation, learning (artificial intelligence), natural language processing, text analysis, Visualization BibRef

Nam, H., Yoo, C.D.,
Content adaptive video summarization using spatio-temporal features,
ICIP17(4003-4007)
IEEE DOI 1803
Color, Face, Feature extraction, Motion segmentation, Neural networks, Prediction algorithms, Visualization, Video Summarization BibRef

Ma, M., Mei, S., Ji, J., Wan, S., Wang, Z., Feng, D.,
Exploring the influence of feature representation for dictionary selection based video summarization,
ICIP17(2911-2915)
IEEE DOI 1803
Color, Dictionaries, Feature extraction, Histograms, Image color analysis, Machine learning, Neural networks, sparse reconstruction BibRef

Pérez-Mayos, L.[Laura], Sukno, F.M.[Federico M.], Wanner, L.[Leo],
Improving the Quality of Video-to-Language Models by Optimizing Annotation of the Training Material,
MMMod18(I:279-290).
Springer DOI 1802
BibRef

Kaufman, D.[Dotan], Levi, G.[Gil], Hassner, T.[Tal], Wolf, L.B.[Lior B.],
Temporal Tessellation: A Unified Approach for Video Analysis,
ICCV17(94-104)
IEEE DOI 1802
video retrieval, video signal processing, 1D sequence, 2D image analysis, Greatest Hits benchmark, BibRef

Panda, R., Das, A., Wu, Z., Ernst, J., Roy-Chowdhury, A.K.,
Weakly Supervised Summarization of Web Videos,
ICCV17(3677-3686)
IEEE DOI 1802
Internet, category theory, learning (artificial intelligence), video signal processing, deep 3D CNN architecture, Videos BibRef

Dash, A.[Amanda], Albu, A.B.[Alexandra Branzan],
A Domain Independent Approach to Video Summarization,
ACIVS17(431-442).
Springer DOI 1712
BibRef

Hanum, H.M.[Haslizatul Mohamed], Diah, N.M.[Norizan Mat], Bakar, Z.A.[Zainab Abu],
Identifying the Qur'anic Segment from Video Recording,
IVIC17(168-174).
Springer DOI 1711
BibRef

Cai, S.J.[Si-Jia], Zuo, W.M.[Wang-Meng], Davis, L.S.[Larry S.], Zhang, L.[Lei],
Weakly-Supervised Video Summarization Using Variational Encoder-Decoder and Web Prior,
ECCV18(XIV: 193-210).
Springer DOI 1810
BibRef

Plummer, B.A., Brown, M., Lazebnik, S.,
Enhancing Video Summarization via Vision-Language Embedding,
CVPR17(1052-1060)
IEEE DOI 1711
Cameras, Google, Image segmentation, Optimization, Semantics, Visualization BibRef

Sharghi, A., Laurel, J.S., Gong, B.,
Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach,
CVPR17(2127-2136)
IEEE DOI 1711
Automobiles, Dictionaries, Knowledge discovery, Measurement, Semantics, Visualization BibRef

Mahasseni, B., Lam, M., Todorovic, S.,
Unsupervised Video Summarization with Adversarial LSTM Networks,
CVPR17(2982-2991)
IEEE DOI 1711
Benchmark testing, Decoding, Feature extraction, Machine learning, Neural networks, Training BibRef

Panda, R., Roy-Chowdhury, A.K.,
Collaborative Summarization of Topic-Related Videos,
CVPR17(4274-4283)
IEEE DOI 1711
Collaboration, Feature extraction, Minimization, Optimization, Videos, Visualization BibRef

Elhamifar, E., Kaluza, M.C.D.P.[M. C. D. P.],
Online Summarization via Submodular and Convex Optimization,
CVPR17(1818-1826)
IEEE DOI 1711
Convex functions, Encoding, Hidden Markov models, Information science, Linear programming, Optimization, Performance, evaluation BibRef

Hu, H.[Hao], Wang, Z.W.[Zhao-Wen], Lee, J.Y.[Joon-Young], Lin, Z.[Zhe], Qi, G.J.[Guo-Jun],
Temporal Domain Neural Encoder for Video Representation Learning,
DeepLearn-T17(2192-2199)
IEEE DOI 1709
Feature extraction, Logic gates, Mathematical model, Pattern recognition, Visualization BibRef

Jain, A.K., Agarwalla, A., Agrawal, K.K., Mitra, P.,
Recurrent Memory Addressing for Describing Videos,
DeepLearn-T17(2200-2207)
IEEE DOI 1709
Computational modeling, Context modeling, Decoding, Feature extraction, Semantics, Videos, Visualization BibRef

Sah, S., Kulhare, S., Gray, A., Venugopalan, S., Prud'Hommeaux, E., Ptucha, R.,
Semantic Text Summarization of Long Videos,
WACV17(989-997)
IEEE DOI 1609
Face, Image quality, Image segmentation, Motion segmentation, Standards, Videos, Visualization BibRef

Zhang, C.Y.[Chen-Yang], Tian, Y.L.[Ying-Li],
Automatic video description generation via LSTM with joint two-stream encoding,
ICPR16(2924-2929)
IEEE DOI 1705
Decoding, Encoding, Feature extraction, History, Logic gates, Recurrent neural networks, Visualization LSTM: long short-term memory Neural Network. BibRef

Hu, S.H., Li, Y.K.[Yi-Kang], Li, B.X.[Bao-Xin],
Video2vec: Learning semantic spatio-temporal embeddings for video representation,
ICPR16(811-816)
IEEE DOI 1705
Encoding, Feature extraction, Logic gates, Optical imaging, Optical network units, Semantics BibRef

Kannappan, S., Liu, Y.H.[Yong-Huai], Tiddeman, B.,
A pertinent evaluation of automatic video summary,
ICPR16(2240-2245)
IEEE DOI 1705
Color, Correlation, Estimation, Feature extraction, Measurement, Pattern recognition, Reliability BibRef

Chen, Y.Y.[Ying-Ying], Zhang, L.[La], Wang, J.Q.[Jin-Qiao], Lu, H.Q.[Han-Qing],
Piecewise Video Condensation for Complex Scenes,
HIS16(III: 286-300).
Springer DOI 1704
BibRef

Kannappan, S.[Sivapriyaa], Liu, Y.H.[Yong-Huai], Tiddeman, B.P.[Bernard Paul],
Performance Evaluation of Video Summaries Using Efficient Image Euclidean Distance,
ISVC16(II: 33-42).
Springer DOI 1701
BibRef

Xu, J.[Jun], Mei, T.[Tao], Yao, T.[Ting], Rui, Y.[Yong],
MSR-VTT: A Large Video Description Dataset for Bridging Video and Language,
CVPR16(5288-5296)
IEEE DOI 1612
Dataset, Video Analysis.
See also MSR VTT Dataset. BibRef

Zeng, K.H.[Kuo-Hao], Chen, T.H.[Tseng-Hung], Niebles, J.C.[Juan Carlos], Sun, M.[Min],
Title Generation for User Generated Videos,
ECCV16(II: 609-625).
Springer DOI 1611
Titles, not captions. BibRef

Zhang, K.[Ke], Chao, W.L.[Wei-Lun], Sha, F.[Fei], Grauman, K.[Kristen],
Summary Transfer: Exemplar-Based Subset Selection for Video Summarization,
CVPR16(1059-1067)
IEEE DOI 1612
BibRef
And:
Video Summarization with Long Short-Term Memory,
ECCV16(VII: 766-782).
Springer DOI 1611
BibRef

Sharghi, A.[Aidean], Gong, B.Q.[Bo-Qing], Shah, M.[Mubarak],
Query-Focused Extractive Video Summarization,
ECCV16(VIII: 3-19).
Springer DOI 1611
BibRef

Anirudh, R., Masroor, A., Turaga, P.K.,
Diversity promoting online sampling for streaming video summarization,
ICIP16(3329-3333)
IEEE DOI 1610
Approximation algorithms BibRef

Ma, S., Chen, C.W.,
Automatic creation of magazine-page-like social media visual summary for mobile browsing,
ICIP16(469-473)
IEEE DOI 1610
Feeds BibRef

Panda, R., Das, A., Roy-Chowdhury, A.K.,
Embedded sparse coding for summarizing multi-view videos,
ICIP16(191-195)
IEEE DOI 1610
Cameras BibRef

Marvaniya, S., Damoder, M., Gopalakrishnan, V., Iyer, K.N., Soni, K.,
Real-time video summarization on mobile,
ICIP16(176-180)
IEEE DOI 1610
Cameras BibRef

Markatopoulou, F., Mezaris, V., Patras, I.,
Online multi-task learning for semantic concept detection in video,
ICIP16(186-190)
IEEE DOI 1610
Computational modeling BibRef

Zhang, B., Wang, Z., Tao, D., Hua, X.S., Feng, D.D.,
Automatic Preview Frame Selection for Online Videos,
DICTA15(1-6)
IEEE DOI 1603
feature selection BibRef

Salehin, M.M.[M. Musfequs], Paul, M.[Manoranjan],
Affective Video Events Summarization Using EMD Decomposed EEG Signals (EDES),
DICTA17(1-6)
IEEE DOI 1804
BibRef
Earlier:
Video Summarization Using Geometric Primitives,
DICTA16(1-8)
IEEE DOI 1701
BibRef
Earlier:
Fusion of Foreground Object, Spatial and Frequency Domain Motion Information for Video Summarization,
VSWS15(319-331).
Springer DOI 1603
discrete Fourier transforms, electroencephalography, feature extraction, video signal processing, DFT, Motion pictures BibRef

Yang, H.[Huan], Wang, B.Y.[Bao-Yuan], Lin, S.[Stephen], Wipf, D.[David], Guo, M.Y.[Min-Yi], Guo, B.N.[Bai-Ning],
Unsupervised Extraction of Video Highlights via Robust Recurrent Auto-Encoders,
ICCV15(4633-4641)
IEEE DOI 1602
Data models BibRef

Venugopalan, S.[Subhashini], Rohrbach, M.[Marcus], Donahue, J.[Jeffrey], Mooney, R.[Raymond], Darrell, T.J.[Trevor J.], Saenko, K.[Kate],
Sequence to Sequence -- Video to Text,
ICCV15(4534-4542)
IEEE DOI 1602
Decoding BibRef

Sener, O.[Ozan], Zamir, A.R.[Amir R.], Savarese, S.[Silvio], Saxena, A.[Ashutosh],
Unsupervised Semantic Parsing of Video Collections,
ICCV15(4480-4488)
IEEE DOI 1602
Atomic measurements. User generated video. BibRef

Lin, Y.L., Morariu, V.I., Hsu, W.,
Summarizing While Recording: Context-Based Highlight Detection for Egocentric Videos,
ACVR15(443-451)
IEEE DOI 1602
Computational modeling BibRef

Demir, M., Bozma, H.I.,
Video Summarization via Segments Summary Graphs,
VidSum15(1071-1077)
IEEE DOI 1602
Encoding BibRef

Lin, J.[Jie], Morère, O.[Olivier], Chandrasekhar, V.[Vijay], Veillard, A.[Antoine], Goh, H.L.[Han-Lin],
Co-sparsity regularized deep hashing for image instance retrieval,
ICIP16(2450-2454)
IEEE DOI 1610
BibRef
Earlier: A2, A5, A4, A3, A1:
Co-regularized deep representations for video summarization,
ICIP15(3165-3169)
IEEE DOI 1512
Databases. Video summarization BibRef

Zhang, S.[Shu], Roy-Chowdhury, A.K.[Amit K.],
Video summarization through change detection in a non-overlapping camera network,
ICIP15(3832-3836)
IEEE DOI 1512
Non-overlapping camera network; Video summarization; change detection BibRef

Kuanar, S.K., Chowdhury, A.S.,
Improved delaunay graph based video summarization with semantic features and canonical correlation,
ICAPR15(1-6)
IEEE DOI 1511
feature extraction BibRef

Castelo-Fernández, C.[César], Calderón-Ruiz, G.[Guillermo],
Automatic Video Summarization Using the Optimum-Path Forest Unsupervised Classifier,
CIARP15(760-767).
Springer DOI 1511
BibRef

Rematas, K.[Konstantinos], Fernando, B.[Basura], Dellaert, F.[Frank], Tuytelaars, T.[Tinne],
Dataset fingerprints: Exploring image collections through data mining,
CVPR15(4867-4875)
IEEE DOI 1510
BibRef

Xu, J.[Jia], Mukherjee, L.[Lopamudra], Li, Y.[Yin], Warner, J.[Jamieson], Rehg, J.M.[James M.], Singh, V.[Vikas],
Gaze-enabled egocentric video summarization via constrained submodular maximization,
CVPR15(2235-2244)
IEEE DOI 1510
BibRef

Gygli, M.[Michael], Grabner, H.[Helmut], Van Gool, L.J.[Luc J.],
Video summarization by learning submodular mixtures of objectives,
CVPR15(3090-3098)
IEEE DOI 1510
BibRef

Li, Y.C.[Yun-Cheng], Song, Y.[Yale], Cao, L.L.[Liang-Liang], Tetreault, J.[Joel], Goldberg, L.[Larry], Jaimes, A.[Alejandro], Luo, J.B.[Jie-Bo],
TGIF: A New Dataset and Benchmark on Animated GIF Description,
CVPR16(4641-4650)
IEEE DOI 1612

WWW Link. Dataset, Animations. BibRef

Chu, W.S.[Wen-Sheng], Song, Y.[Yale], Jaimes, A.[Alejandro],
Video co-summarization: Video summarization by visual co-occurrence,
CVPR15(3584-3592)
IEEE DOI 1510
BibRef

Song, Y.[Yale], Vallmitjana, J.[Jordi], Stent, A.[Amanda], Jaimes, A.[Alejandro],
TVSum: Summarizing web videos using titles,
CVPR15(5179-5187)
IEEE DOI 1510
BibRef

Sudhakar, N.[Nithya], Chandran, S.[Sharat],
Hierarchical summarization for easy video applications,
MVA15(69-72)
IEEE DOI 1507
Buildings BibRef

Strat, S.T., Benoit, A., Lambert, P., Caplier, A.,
Retina-enhanced SURF descriptors for semantic concept detection in videos,
IPTA12(319-324)
IEEE DOI 1503
computer vision BibRef

Ciortan, I.M.[Irina M.], Dinet, E.[Eric], Tremeau, A.[Alain],
Influence of color on visual saliency in short videos,
ICIP14(1160-1164)
IEEE DOI 1502
Color BibRef

Qu, B.Q.[Bing-Qing], Vallet, F.[Félicien], Carrive, J.[Jean], Gravier, G.[Guillaume],
Content-Based Discovery of Multiple Structures from Episodes of Recurrent TV Programs Based on Grammatical Inference,
MMMod15(I: 140-154).
Springer DOI 1501
BibRef

Kai, J.L.[Jueng-Ling], Blunsden, S.[Scott], Versino, C.[Cristina],
VideoZoom: An Interactive System for Video Summarization, Browsing and Retrieval,
ISVC14(I: 323-332).
Springer DOI 1501
BibRef

Almeida, S.S.[Suellen S.], Cayllahua-Cahuina, E.[Edward], de Albuquerque Araújo, A.[Arnaldo], Cámara-Chávez, G.[Guillermo], Menotti, D.[David],
GPUs and Multicore CPUs Implementations of a Static Video Summarization,
CIARP14(956-964).
Springer DOI 1411
BibRef

Cirne, M.V.M.[Marcos Vinicius Mussel], Pedrini, H.[Helio],
Summarization of Videos by Image Quality Assessment,
CIARP14(901-908).
Springer DOI 1411
BibRef

Potapov, D.[Danila], Douze, M.[Matthijs], Harchaoui, Z.[Zaid], Schmid, C.[Cordelia],
Category-Specific Video Summarization,
ECCV14(VI: 540-555).
Springer DOI 1408
BibRef

Kannan, R., Ghinea, G., Swaminathan, S., Kannaiyan, S.,
Improving video summarization based on user preferences,
NCVPRIPG13(1-4)
IEEE DOI 1408
video signal processing BibRef

Sujatha, C., Chivate, A.R., Ganihar, S.A., Mudenagudi, U.,
Time driven video summarization using GMM,
NCVPRIPG13(1-4)
IEEE DOI 1408
Gaussian processes BibRef

Liu, B.[Buyu], He, X.M.[Xu-Ming], Gould, S.[Stephen],
Joint semantic and geometric segmentation of videos with a stage model,
WACV14(737-744)
IEEE DOI 1406
Computational modeling BibRef

Carvajal, J.[Johanna], McCool, C.[Chris], Sanderson, C.[Conrad],
Summarisation of short-term and long-term videos using texture and colour,
WACV14(769-775)
IEEE DOI 1406
Color BibRef

Mahmoud, K.M., Ghanem, N.M., Ismail, M.A.,
VGRAPH: An Effective Approach for Generating Static Video Summaries,
VECTaR13(811-818)
IEEE DOI 1403
feature extraction BibRef

Park, J.S.[Jae Sung], Darrell, T.J.[Trevor J.], Rohrbach, A.[Anna],
Identity-Aware Multi-Sentence Video Description,
ECCV20(XXI:360-378).
Springer DOI 2011
BibRef

Rohrbach, A.[Anna], Rohrbach, M.[Marcus], Qiu, W.[Wei], Friedrich, A.[Annemarie], Pinkal, M.[Manfred], Schiele, B.[Bernt],
Coherent Multi-sentence Video Description with Variable Level of Detail,
GCPR14(184-195).
Springer DOI 1411
BibRef

Rohrbach, M.[Marcus], Qiu, W.[Wei], Titov, I.[Ivan], Thater, S.[Stefan], Pinkal, M.[Manfred], Schiele, B.[Bernt],
Translating Video Content to Natural Language Descriptions,
ICCV13(433-440)
IEEE DOI 1403
BibRef

Chen, S.C.[Shen-Chi], Lin, K.[Kevin], Lin, S.Y.[Shih-Yao], Chen, K.W.[Kuan-Wen], Lin, C.W.[Chih-Wei], Chen, C.S.[Chu-Song], Hung, Y.P.[Yi-Ping],
Target-driven video summarization in a camera network,
ICIP13(3577-3581)
IEEE DOI 1412
camera network BibRef

Ntalianis, K.[Klimis], Doulamis, A.[Anastasios], Doulamis, N.[Nikolaos], Tsapatsoulis, N.[Nicolas],
Video abstraction in social media: Augmenting facebook's EdgeRank algorithm in video content presentation,
ICIP13(2684-2688)
IEEE DOI 1412
CLARANS BibRef

Cirne, M.V.M.[Marcos Vinicius Mussel], Pedrini, H.[Helio],
A Video Summarization Method Based on Spectral Clustering,
CIARP13(II:479-486).
Springer DOI 1311
BibRef

Mahmoud, K.M.[Karim M.], Ismail, M.A.[Mohamed A.],
VSCAN: An Enhanced Video Summarization Using Density-Based Spatial Clustering,
CIAP13(I:733-742).
Springer DOI 1311
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Shrestha, A.[Ayush], Zhu, Y.[Ying], Miller, B.[Ben], Zhao, Y.[Yi],
Storygraph: Telling Stories from Spatio-temporal Data,
ISVC13(II:693-702).
Springer DOI 1311
BibRef

Das, P.[Pradipto], Xu, C.L.[Chen-Liang], Doell, R.F.[Richard F.], Corso, J.J.[Jason J.],
A Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and Sparse Object Stitching,
CVPR13(2634-2641)
IEEE DOI 1309
multimodal topic model BibRef

Lu, Z.[Zheng], Grauman, K.[Kristen],
Story-Driven Summarization for Egocentric Video,
CVPR13(2714-2721)
IEEE DOI 1309
egocentric; story; video summarization BibRef

Khosla, A.[Aditya], Hamid, R.[Raffay], Lin, C.J.[Chih-Jen], Sundaresan, N.[Neel],
Large-Scale Video Summarization Using Web-Image Priors,
CVPR13(2698-2705)
IEEE DOI 1309
BibRef

Chowdhury, A.S.[Ananda S.], Kuanar, S.K.[Sanjay K.], Panda, R.[Rameswar], Das, M.N.[Moloy N.],
Video storyboard design using Delaunay graphs,
ICPR12(3108-3111).
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Sun, L.[Lei], Xing, J.L.[Jun-Liang], Ai, H.Z.[Hai-Zhou], Lao, S.H.[Shi-Hong],
A tracking based fast online complete video synopsis approach,
ICPR12(1956-1959).
WWW Link. 1302
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Cai, H.Y.[Hong-Yuan], Zheng, J.Y.[Jiang Yu],
Automatic heterogeneous video summarization in temporal profile,
ICPR12(2796-2800).
WWW Link. 1302
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Aydemir, M.S.[M. Said], Ergul, U.[Ugur], Guclu, A.[Adem], Karsligil, M.E.[M. Elif],
Video summarization using simple action patterns,
ICPR12(2047-2050).
WWW Link. 1302
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Shafeian, H.[Hessamoddin], Bhanu, B.[Bir],
Integrated personalized video summarization and retrieval,
ICPR12(996-999).
WWW Link. 1302
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Wang, S.Z.[Shi-Zheng], Liu, H.G.[He-Guang], Xie, D.F.[Dan-Feng], Zeng, B.W.[Bin-Wei],
A novel scheme to code object flags for video synopsis,
VCIP12(1-5).
IEEE DOI 1302
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Cao, L.L.[Liang-Liang], Mu, Y.D.[Ya-Dong], Natsev, A.P.[Apostol Paul], Chang, S.F.[Shih-Fu], Hua, G.[Gang], Smith, J.R.[John R.],
Scene Aligned Pooling for Complex Video Recognition,
ECCV12(II: 688-701).
Springer DOI 1210
BibRef

Ajmal, M.[Muhammad], Ashraf, M.H.[Muhammad Husnain], Shakir, M.[Muhammad], Abbas, Y.[Yasir], Shah, F.A.[Faiz Ali],
Video Summarization: Techniques and Classification,
ICCVG12(1-13).
Springer DOI 1210
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Dale, K.[Kevin], Shechtman, E.[Eli], Avidan, S.[Shai], Pfister, H.[Hanspeter],
Multi-video browsing and summarization,
LSVSM12(1-8).
IEEE DOI 1207
BibRef

Li, Y.[Yingbo], Merialdo, B.[Bernard],
Video Summarization Based on Balanced AV-MMR,
MMMod12(370-382).
Springer DOI 1201
BibRef

Papadopoulos, D.P.[Dim P.], Chatzichristofis, S.A.[Savvas A.], Papamarkos, N.[Nikos],
Video Summarization Using a Self-Growing and Self-Organized Neural Gas Network,
MIRAGE11(216-226).
Springer DOI 1110
BibRef

de Leo, C.[Carter], Manjunath, B.S.,
Multicamera Video Summarization from Optimal Reconstruction,
VS10(94-103).
Springer DOI 1109
BibRef

Wang, J.W.[Jie-Wei], Wang, Y.H.[Yun-Hong], Zhang, Z.X.[Zhao-Xiang],
Visual Saliency Based Aerial Video Summarization by Online Scene Classification,
ICIG11(777-782).
IEEE DOI 1109
BibRef

Ding, Y.D.[You-Dong], Zhang, J.F.[Jian-Fei], Li, J.[Jun], Wei, X.C.[Xiao-Cheng],
A Bag-of-Feature Model for Video Semantic Annotation,
ICIG11(696-701).
IEEE DOI 1109
BibRef

Xu, L.Q.[Li-Qun], Luo, B.[Bin],
Appearance-based video clustering in 2D locality preserving projection subspace,
CIVR07(356-362).
DOI Link 0707
BibRef

Kawai, Y.[Yoshihiko], Sumiyoshi, H.[Hideki], Yagi, N.[Nobuyuki],
Automated production of TV program trailer using electronic program guide,
CIVR07(49-56).
DOI Link 0707
BibRef

Joho, H.[Hideo], Jose, J.M.[Joemon M.], Valenti, R.[Roberto], Sebe, N.[Nicu],
Exploiting facial expressions for affective video summarisation,
CIVR09(Article No 31).
DOI Link 0907
BibRef

Gallo, G.[Giovanni], Granata, E.[Eliana], Torrisi, A.[Alessandro],
Information Theory Based WCE Video Summarization,
ICPR10(4198-4201).
IEEE DOI 1008
BibRef

Feng, S.K.[Shi-Kun], Liao, S.C.[Sheng-Cai], Yuan, Z.Y.[Zhi-Yong], Li, S.Z.[Stan Z.],
Online Principal Background Selection for Video Synopsis,
ICPR10(17-20).
IEEE DOI 1008
BibRef

Gagnon, L., Chapdelaine, C., Byrns, D., Foucher, S., Heritier, M., Gupta, V.,
A computer-vision-assisted system for Video Description Scripting,
CVAVI10(41-48).
IEEE DOI 1006
Video summarization to aid in Videodescription production. BibRef

Jiang, J.F.[Jun-Feng], Zhang, X.P.[Xiao-Ping],
A new player-enabled rapid video navigation method using temporal quantization and repeated weighted boosting search,
POCV10(64-71).
IEEE DOI 1006
BibRef

Zhang, X.[Xiao], Hua, G.[Gang], Zhang, L.[Lei], Shum, H.Y.[Heung-Yeung],
Interest seam image,
CVPR10(3296-3303).
IEEE DOI Video of talk:
WWW Link. 1006
Visual synopsis for video BibRef

Zheng, Y.X.[Yi-Xiong], Xie, X.N.[Xiao-Neng], Jiang, M.[Ming], Chen, Q.[Qi], Zhang, L.Q.[Lu-Qing],
Hierarchical organization for medical video summarization using latent visual and semantic analysis,
IASP10(649-652).
IEEE DOI 1004
BibRef

Gao, T.S.[Tian-Shi], Wu, C.[Chen], Aghajan, H.[Hamid],
User-centric speaker report: Ranking-based effectiveness evaluation and feedback,
THEMIS09(1004-1011).
IEEE DOI 0910
Analyze videos of presentations and evaluate them. BibRef

Wang, H.Y.[Hui-Yu], Tong, R.F.[Ruo-Feng],
Hierarchical Video Data Modeling and Indexing for Virtual Scene Construction,
ICMV09(69-73).
IEEE DOI 0912
BibRef

Caglioti, V.[Vincenzo], Giusti, A.[Alessandro], Riva, A.[Andrea], Uberti, M.[Marco],
Drawing Motion without Understanding It,
ISVC09(I: 147-156).
Springer DOI 0911
Summarize short video by adding "speedlines" behind moving objects to show where they moved. BibRef

Jiang, X.H.[Xing-Hao], Sun, T.F.[Tan-Feng], Chen, B.[Bin],
A Novel Video Content Classification Algorithm Based on Combined Visual Features Model,
CISP09(1-6).
IEEE DOI 0910
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Endeshaw, T., Garcia, J., Jakobsson, A.,
Classification of indecent videos by low complexity repetitive motion detection,
AIPR08(1-7).
IEEE DOI 0810
BibRef

Basak, J.[Jayanta], Luthra, V.[Varun], Chaudhury, S.[Santanu],
Video summarization with supervised learning,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Besiris, D., Fotopoulou, F., Economou, G., Fotopoulos, S.,
Video summarization by a graph-theoretic FCM based algorithm,
WSSIP08(511-514).
IEEE DOI 0806
BibRef

Li, J.G.[Jian-Guo], Wu, W.X.[Wei-Xin], Wang, T.[Tao], Zhang, Y.M.[Yi-Min],
One step beyond histograms: Image representation using Markov stationary features,
CVPR08(1-8).
IEEE DOI 0806
Capture spatial coherence of histogram patterns. BibRef

Hong, S.S.[Sung-Soo], Yoon, J.C.[Jong-Chul], Lee, I.K.[In-Kwon], Byun, S.[Siwoo],
Interactive System for Efficient Video Cartooning,
MIRAGE07(161-172).
Springer DOI 0703
BibRef

Geng, Y.L.[Yu-Liang], Xu, D.[De], Feng, S.H.[Song-He],
Hierarchical Video Summarization Based on Video Structure and Highlight,
SSPR06(226-234).
Springer DOI 0608
BibRef

Liu, C.Q.[Chao-Qiang], Xia, T.[Tao], Li, H.[Hui],
Time Oriented Video Summarization,
ICIAR05(99-106).
Springer DOI 0509
BibRef

Lee, K.S.[Ki-Sung],
Semantic Feature Extraction Based on Video Abstraction and Temporal Modeling,
IbPRIA05(I:392).
Springer DOI 0509
BibRef

Pal, C.[Chris], Jojic, N.[Nebojsa],
Interactive Montages of Sprites for Indexing and Summarizing Security Video,
CVPR05(II: 1192).
IEEE DOI 0507
BibRef

Yan, R.[Rong], Naphade, M.R.[Milind R.],
Co-Training Non-Robust Classifiers for Video Semantic Concept Detection,
ICIP05(I: 1205-1208).
IEEE DOI 0512
BibRef
And:
Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos,
CVPR05(I: 657-663).
IEEE DOI 0507
BibRef

Tang, Q.[Qing], Lim, J.H.[Joo-Hwee], Jin, J.S., Sun, H.P.[Hai-Ping], Tian, Q.[Qi],
A generic mid-level representation for semantic video analysis,
ICIP04(I: 629-632).
IEEE DOI 0505
BibRef

Wan, Y.H.[Yue-Hua], Ji, S.M.[Shi-Ming], Xie, Y.[Yi], Zhang, X.[Xian], Xie, P.J.[Pei-Jun],
Video Program Clustering Indexing Based on Face Recognition Hybrid Model of Hidden Markov Model and Support Vector Machine,
IWCIA04(739-749).
Springer DOI 0505
BibRef

de Jong, F.[Franciska],
Disclosure of Non-scripted Video Content: InDiCo and M4/AMI,
CIVR04(647-655).
Springer DOI 0505
BibRef

Xie, Y.X.[Yu-Xiang], Luan, X.D.[Xi-Dao], Lao, S.Y.[Song-Yang], Wu, L.D.[Ling-Da], Xiao, P.[Peng], Wen, J.[Jun],
EDU: A Model of Video Summarization,
CIVR04(106-114).
Springer DOI 0505
BibRef

Cheatle, P.,
Media content and type selection from always-on wearable video,
ICPR04(IV: 979-982).
IEEE DOI 0409
E.g. tourist walking around a city. Summarize into set of stills, panoramas and video clips. BibRef

Wang, Y.G.[Ying-Ge], Cheng, Q.A.[Qi-Ang], Cheng, J.[Jie], Huang, T.S.,
MV-MAP: Multiresolution Video Visualization and Summarization on MAPs,
ICPR04(III: 886-889).
IEEE DOI 0409
BibRef

Dorai, C., Oria, V., Neelavalli, V.,
Structuralizing educational videos based on presentation content,
ICIP03(II: 1029-1032).
IEEE DOI 0312
BibRef

Lee, S.K.[Sang-Keun], Hayes, M.H.,
A fast clustering algorithm for video abstraction,
ICIP03(II: 563-566).
IEEE DOI 0312
BibRef

Yasaroglu, Y.[Yagiz], Alatan, A.A.[A. Aydin],
Summarizing Video: Content, Features, and HMM Topologies,
VLBV03(101-110).
Springer DOI 0310
BibRef

Porter, S.V.[Sarah V.], Mirmehdi, M.[Majid], Thomas, B.T.[Barry T.],
Video Indexing using Motion Estimation,
BMVC03(xx-yy).
HTML Version. 0409
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And:
A shortest path representation for video summarisation,
CIAP03(460-465).
IEEE DOI 0310
BibRef

Dimitrova, N., Agnihotri, L., Jasinschi, R.S.,
Temporal Video Boundaries,
VideoMining03(Chapter 3). BibRef 0300

Bagga, A., Hu, J.Y.[Jian-Ying], Zhong, J.L.[Jia-Lin], Ramesh, G.,
Multi-source combined-media video tracking for summarization,
ICPR02(II: 818-821).
IEEE DOI 0211
BibRef

Gibson, D.P.[David P.], Campbell, N.W.[Neill W.], Thomas, B.T.[Barry T.],
Visual abstraction of wildlife footage using gaussian mixture models and the minimum description length criterion,
ICPR02(II: 814-817).
IEEE DOI 0211
BibRef
And:
Visual Abstraction of Wildlife Footage using Gaussian Mixture Models,
VI02(23).
PDF File. 0208
BibRef

Sanchez, J.M., Binefa, X., Kender, J.R.,
Coupled markov chains for video contents characterization,
ICPR02(II: 461-464).
IEEE DOI 0211
BibRef

Orriols, X.[Xavier], Binefa, X.[Xavier],
Online Bayesian Video Summarization and Linking,
CIVR02(338-347).
Springer DOI 0208
BibRef
Earlier:
An EM Algorithm for Video Summarization, Generative Model Approach,
ICCV01(II: 335-342).
IEEE DOI 0106
BibRef

Martin-Granel, P.[Pierre], Roach, M.J.[Matthew J.], Mason, J.D.[John D.],
Camera Motion Extraction Using Correlation for Motion-Based Video Classification,
VF01(552 ff.).
Springer DOI 0209
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Spierenburg, J.A., Huijsmans, D.P.,
VOICI: Video Overview for Image Cluster Indexing: A swift browsing tool for a large digital image database using similarities,
BMVC97(xx-yy).
HTML Version. 0209
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Vermaak, J., Perez, P., Blake, A., Gangnet, M.,
Rapid Summarisation and Browsing of Video Sequences,
BMVC02(3D and Video). 0208
BibRef

Piirainen, T., Silvén, O., Tuulos, V.,
Layered Self-organizing Maps based Video Content Classification,
SCIA01(O-M4A). 0206
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Ng, J., Gong, S.,
Learning Intrinsic Video Content Using Levenshtein Distance in Graph Partitioning,
ECCV02(IV: 670 ff.).
Springer DOI 0205
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Xu, P.[Peng], Tax, D.M.J., Hanjalic, A.[Alan],
A structure-based video representation for web video categorization,
ICPR12(433-436).
WWW Link. 1302
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Hanjalic, A.[Alan], Xu, L.Q.[Li-Qun],
User-Oriented Affective Video Content Analysis,
CBAIVL01(50).
IEEE DOI 0110
BibRef

Hamada, R.[Reiko], Satoh, S.[Shin'ichi], Sakai, S.[Shuichi],
Detection of Important Segments in Cooking Videos,
CBAIVL01(118).
IEEE DOI 0110
BibRef

Aizawa, K., Ishijima, K.I., Shiina, M.,
Summarizing Wearable Video,
ICIP01(III: 398-401).
IEEE DOI 0108
BibRef

Gong, Y., Liu, X.,
Video Summarization with Minimal Visual Content Redundancies,
ICIP01(III: 362-365).
IEEE DOI 0108
BibRef

Martel, L.,
New Rule-based Framework for Post-processing Merging in Video Sequence Segmentation,
ICIP00(Vol I: 327-330).
IEEE DOI 0008
BibRef

Wang, R.R.[Roy Ruoyu], Hong, P.Y.[Peng-Yu], Huang, T.S.[Thomas S.],
Memory-based Moving Object Extraction for Video Indexing,
ICPR00(Vol I: 811-814).
IEEE DOI 0009
BibRef

Oh, J.H.[Jung-Hwan], Hua, K.A.[Kien A.],
An Efficient Technique for Summarizing Videos using Visual Contents,
ICME00(TP11). 0007
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Kurokawa, M.[Masato], Echigo, T.[Tomio],
Video contents access method that uses trajectories of objects and apparatus therefor,
US_Patent6,833,849, Dec 21, 2004
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Echigo, T.[Tomio], Kurokawa, M.[Masato], Maeda, J.[Junji], Tomita, A.[Alberto],
Method and device for describing video contents,
US_Patent7,199,798, Apr 3, 2007
WWW Link. BibRef 0704

Masumitsu, K., Echigo, T.,
Video Summarization Using Reinforcement Learning in Eigenspace,
ICIP00(Vol II: 267-270).
IEEE DOI 0008
BibRef

Martin, H.[Herve], Lozano, R.[Rafael],
Dynamic Video Abstract Generation using an object DBMS,
ICME00(WP5). 0007
BibRef

Toklu, C.[Candemir], Liou, S.P.[Shih-Ping], Das, M.[Madirakshi],
Video Abstract: A Hybrid Approach to Generate Semantically Meaningful Video Summaries,
ICME00(WA4). 0007
BibRef

Ferman, A.M.[A. Mufit], Tekalp, A.M.[A. Murat],
A Unified Framework for Probabilistic Analysis and Extraction of Video Content,
ICIP99(II:91-95).
IEEE DOI BibRef 9900

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Video Captioning .


Last update:Mar 16, 2024 at 20:36:19