19.4.5.6 Video Analysis, Abstracts, Synopsis, Summarization

Chapter Contents (Back)
Video Abstracts. Video Summarization. Video Analysis. Summarization. See also Instructionional, Training Videos, How To, Teach Maching How. See also Multimedia Summarization, Multimodal Summarization. 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

Mrak, M.[Marta], Calic, J.[Janko], Kondoz, A.M.[Ahmet M.],
Fast analysis of scalable video for adaptive browsing interfaces,
CVIU(113), No. 3, March 2009, pp. 425-434.
Elsevier DOI 0902
BibRef
Earlier: A2, A1, A3:
Flexible generation of video summaries from layered video bit-streams,
ICIP08(2516-2519).
IEEE DOI 0810
Scalable video coding; Compressed domain analysis; Video summarisation 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

Chen, B.W.[Bo-Wei], Wang, J.C.[Jia-Ching], Wang, J.F.[Jhing-Fa],
A Novel Video Summarization Based on Mining the Story-Structure and Semantic Relations Among Concept Entities,
MultMed(11), No. 2, February 2009, pp. 295-312.
IEEE DOI 0905
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

Almeida, J.[Jurandy], Leite, N.J.[Neucimar J.], da Silva Torres, R.[Ricardo],
VISON: VIdeo Summarization for ONline applications,
PRL(33), No. 4, March 2012, pp. 397-409.
Elsevier DOI 1201
BibRef
Earlier:
Comparison of video sequences with histograms of motion patterns,
ICIP11(3673-3676).
IEEE DOI 1201
BibRef
And:
Rapid Cut Detection on Compressed Video,
CIARP11(71-78).
Springer DOI 1111
Video summary; Video browsing; Compressed domain; Storyboards 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

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.[Shikun], 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

Pan, P.B.[Ping-Bo], Xu, Z.W.[Zhong-Wen], Yang, Y.[Yi], Wu, F.[Fei], Zhuang, Y.T.[Yue-Ting],
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning,
CVPR16(1029-1038)
IEEE DOI 1612
video captioning where temporal information plays a crucial role. BibRef

Yu, H.N.[Hao-Nan], Wang, J.[Jiang], Huang, Z.H.[Zhi-Heng], Yang, Y.[Yi], Xu, W.[Wei],
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks,
CVPR16(4584-4593)
IEEE DOI 1612
Generating one or multiple sentences to describe a realistic video 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.[Richang], 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

Qiu, Z.F.[Zhao-Fan], Yao, T.[Ting], Mei, T.[Tao],
Learning Deep Spatio-Temporal Dependence for Semantic Video Segmentation,
MultMed(20), No. 4, April 2018, pp. 939-949.
IEEE DOI 1804
BibRef
Earlier:
Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks,
ICCV17(5534-5542)
IEEE DOI 1802
3D from 2D nets. Computer architecture, Image segmentation, Semantics, Streaming media, video segmentation convolution, feature extraction, image classification, image recognition, image representation, Visualization BibRef

Qiu, Z.F.[Zhao-Fan], Yao, T.[Ting], Ngo, C.W.[Chong-Wah], Tian, X.[Xinmei], Mei, T.[Tao],
Learning Spatio-Temporal Representation With Local and Global Diffusion,
CVPR19(12048-12057).
IEEE DOI 2002
BibRef

Yao, T., Pan, Y., Li, Y., Qiu, Z., Mei, T.,
Boosting Image Captioning with Attributes,
ICCV17(4904-4912)
IEEE DOI 1802
BibRef
And: A2, A1, A3, A5, Only:
Video Captioning with Transferred Semantic Attributes,
CVPR17(984-992)
IEEE DOI 1711
computer vision, image representation, learning (artificial intelligence), Semantics. Computer architecture, Natural languages, Probability distribution, Recurrent neural networks, Visualization 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, Computer architecture, Spatiotemporal phenomena, Convolutional codes BibRef

Yuan, Y., Mei, T., Cui, P., Zhu, W.,
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

Zhao, B., Li, X., Lu, X.,
CAM-RNN: Co-Attention Model Based RNN for Video Captioning,
IP(28), No. 11, November 2019, pp. 5552-5565.
IEEE DOI 1909
Visualization, Task analysis, Logic gates, Recurrent neural networks, Dogs, Semantics, Decoding, recurrent neural network 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, Computer architecture, Computer vision, 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

Yan, C., Tu, Y., Wang, X., Zhang, Y., Hao, X., Zhang, Y., Dai, Q.,
STAT: Spatial-Temporal Attention Mechanism for Video Captioning,
MultMed(22), No. 1, January 2020, pp. 229-241.
IEEE DOI 2001
BibRef
And: Corrections: MultMed(22), No. 3, March 2020, pp. 830-830.
IEEE DOI 2003
Video captioning, spatial-temporal attention mechanism, encoder-decoder neural networks. Mechatronics, Automation, Streaming media BibRef

Aafaq, N.[Nayyer], Mian, A.[Ajmal], Liu, W.[Wei], Gilani, S.Z.[Syed Zulqarnain], Shah, M.[Mubarak],
Video Description: A Survey of Methods, Datasets, and Evaluation Metrics,
Surveys(52), No. 6, October 2019, pp. xx-yy.
DOI Link 2001
video to text, Video description, video captioning, language in vision BibRef

Basavarajaiah, M.[Madhushree], Sharma, P.[Priyanka],
Survey of Compressed Domain Video Summarization Techniques,
Surveys(52), No. 6, October 2019, pp. xx-yy.
DOI Link 2001
machine learning, video processing, Compressed domain, video abstraction BibRef

Zhang, Y.[Yujia], Liang, X.D.[Xiao-Dan], Zhang, D.[Dingwen], 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

Zhang, Z., Xu, D., Ouyang, W., Tan, C.,
Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization,
CirSysVideo(30), No. 9, September 2020, pp. 3130-3139.
IEEE DOI 2009
Proposals, Visualization, Image segmentation, Feature extraction, Semantics, Decoding, Task analysis, Dense video captioning, hierarchical attention mechanism 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
Computer vision, 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


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

Cohendet, R., Demarty, C., Duong, N., Engilberge, M.,
VideoMem: Constructing, Analyzing, Predicting Short-Term and Long-Term Video Memorability,
ICCV19(2531-2540)
IEEE DOI 2004
feature extraction, image annotation, learning (artificial intelligence), neural nets, Time measurement 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

Olivastri, S., Singh, G., Cuzzolin, F.,
End-to-End Video Captioning,
HVU19(1474-1482)
IEEE DOI 2004
convolutional neural nets, decoding, image recognition, learning (artificial intelligence), recurrent neural nets, 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
Computer architecture, 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, Computer Vision 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

Li, L., Gong, B.,
End-to-End Video Captioning With Multitask Reinforcement Learning,
WACV19(339-348)
IEEE DOI 1904
computer vision, convolutional neural nets, learning (artificial intelligence), recurrent neural nets, Hardware 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

Wang, B., Ma, L., Zhang, W., Liu, W.,
Reconstruction Network for Video Captioning,
CVPR18(7622-7631)
IEEE DOI 1812
Decoding, Semantics, Image reconstruction, Video sequences, Visualization, Feature extraction, Natural languages BibRef

Li, Y., Yao, T., Pan, Y., Chao, H., Mei, T.,
Jointly Localizing and Describing Events for Dense Video Captioning,
CVPR18(7492-7500)
IEEE DOI 1812
Proposals, Dogs, Complexity theory, Task analysis, Training, Optimization BibRef

Wang, J., Jiang, W., Ma, L., Liu, W., Xu, Y.,
Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning,
CVPR18(7190-7198)
IEEE DOI 1812
Proposals, Visualization, Task analysis, Video sequences, Fuses, Semantics, Feature extraction BibRef

Wu, X., Li, G., Cao, Q., Ji, Q., Lin, L.,
Interpretable Video Captioning via Trajectory Structured Localization,
CVPR18(6829-6837)
IEEE DOI 1812
Trajectory, Feature extraction, Decoding, Visualization, Semantics, Recurrent neural networks BibRef

Wang, X., Chen, W., Wu, J., Wang, Y., Wang, W.Y.,
Video Captioning via Hierarchical Reinforcement Learning,
CVPR18(4213-4222)
IEEE DOI 1812
Task analysis, Semantics, Dogs, Neural networks, Computer vision, Portable computers BibRef

Zhou, L., Zhou, Y., Corso, J.J., Socher, R., Xiong, C.,
End-to-End Dense Video Captioning with Masked Transformer,
CVPR18(8739-8748)
IEEE DOI 1812
Proposals, Decoding, Encoding, Hidden Markov models, Feeds, Training, Visualization 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, Computer vision 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.[Liqiang], 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

Yang, D., Yuan, C.,
Hierarchical Context Encoding for Events Captioning in Videos,
ICIP18(1288-1292)
IEEE DOI 1809
Videos, Proposals, Task analysis, Mathematical model, Computational modeling, Decoding, Measurement, Video captioning, video summarization 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

Ma, M., Mei, S., Wan, S., Wang, Z., Tsoi, A.C., Feng, D.,
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

Ma, M., Mei, S., Wan, S., Hou, J., Wang, Z., Feng, D.,
Video Summarization via Simultaneous Block Sparse Representation,
DICTA17(1-7)
IEEE DOI 1804
image matching, image representation, image sequences, iterative methods, optimisation, video signal processing, SBOMP, VS, Signal processing algorithms 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

Shekhar, S., Singal, D., Singh, H., Kedia, M., Shetty, A.,
Show and Recall: Learning What Makes Videos Memorable,
CogCV17(2730-2739)
IEEE DOI 1802
Measurement, Predictive models, Semantics, Time factors, Videos, Visualization 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

Iyyer, M.[Mohit], Manjunatha, V.[Varun], Guha, A.[Anupam], Vyas, Y.[Yogarshi], Boyd-Graber, J.[Jordan], Daumé, H.[Hal], Davis, L.S.[Larry S.],
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives,
CVPR17(6478-6487)
IEEE DOI 1711
Coherence, Image segmentation, Optical character recognition software, Predictive models, Speech, Visualization BibRef

Shen, Z., Li, J., Su, Z., Li, M., Chen, Y., Jiang, Y.G., Xue, X.,
Weakly Supervised Dense Video Captioning,
CVPR17(5159-5167)
IEEE DOI 1711
Motion segmentation, Neural networks, Training, Visualization, Vocabulary BibRef

Baraldi, L., Grana, C., Cucchiara, R.,
Hierarchical Boundary-Aware Neural Encoder for Video Captioning,
CVPR17(3185-3194)
IEEE DOI 1711
Computer architecture, Encoding, Logic gates, Microprocessors, Motion pictures, Streaming media, Visualization 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, Gallium nitride, 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
Computer architecture, Computer vision, 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
Computer architecture, 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. 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.[Boqing], Shah, M.[Mubarak],
Query-Focused Extractive Video Summarization,
ECCV16(VIII: 3-19).
Springer DOI 1611
BibRef

Shin, A.[Andrew], Ohnishi, K.[Katsunori], Harada, T.[Tatsuya],
Beyond caption to narrative: Video captioning with multiple sentences,
ICIP16(3364-3368)
IEEE DOI 1610
Feature extraction 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.[Hanlin],
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
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

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

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

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
BibRef

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
BibRef

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
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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
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Li, Y.[Yingbo], Merialdo, B.[Bernard],
Video Summarization Based on Balanced AV-MMR,
MMMod12(370-382).
Springer DOI 1201
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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
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de Leo, C.[Carter], Manjunath, B.S.,
Multicamera Video Summarization from Optimal Reconstruction,
VS10(94-103).
Springer DOI 1109
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Fu, W.[Wei], Wang, J.Q.[Jin-Qiao], Zhu, X.B.[Xiao-Bin], Lu, H.Q.[Han-Qing], Ma, S.D.[Song-De],
Video Reshuffling with Narratives toward Effective Video Browsing,
ICIG11(821-826).
IEEE 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
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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
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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
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Gallo, G.[Giovanni], Granata, E.[Eliana], Torrisi, A.[Alessandro],
Information Theory Based WCE Video Summarization,
ICPR10(4198-4201).
IEEE DOI 1008
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Feng, S.[Shikun], 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
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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
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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
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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
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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
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Basak, J.[Jayanta], Luthra, V.[Varun], Chaudhury, S.[Santanu],
Video summarization with supervised learning,
ICPR08(1-4).
IEEE DOI 0812
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Besiris, D., Fotopoulou, F., Economou, G., Fotopoulos, S.,
Video summarization by a graph-theoretic FCM based algorithm,
WSSIP08(511-514).
IEEE DOI 0806
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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).
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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
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Liu, C.Q.[Chao-Qiang], Xia, T.[Tao], Li, H.[Hui],
Time Oriented Video Summarization,
ICIAR05(99-106).
Springer DOI 0509
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Lee, K.S.[Ki-Sung],
Semantic Feature Extraction Based on Video Abstraction and Temporal Modeling,
IbPRIA05(I:392).
Springer DOI 0509
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Pal, C.[Chris], Jojic, N.[Nebojsa],
Interactive Montages of Sprites for Indexing and Summarizing Security Video,
CVPR05(II: 1192).
IEEE DOI 0507
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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
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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
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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
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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
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Dorai, C., Oria, V., Neelavalli, V.,
Structuralizing educational videos based on presentation content,
ICIP03(II: 1029-1032).
IEEE DOI 0312
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Lee, S.K.[Sang-Keun], Hayes, M.H.,
A fast clustering algorithm for video abstraction,
ICIP03(II: 563-566).
IEEE DOI 0312
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Yasaroglu, Y.[Yagiz], Alatan, A.A.[A. Aydin],
Summarizing Video: Content, Features, and HMM Topologies,
VLBV03(101-110).
Springer DOI 0310
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Porter, S.V.[Sarah V.], Mirmehdi, M.[Majid], Thomas, B.T.[Barry T.],
Video Indexing using Motion Estimation,
BMVC03(xx-yy).
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And:
A shortest path representation for video summarisation,
CIAP03(460-465).
IEEE DOI 0310
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Dimitrova, N., Agnihotri, L., Jasinschi, R.S.,
Temporal Video Boundaries,
VideoMining03(Chapter 3). BibRef 0300

Phung, D.Q.[Dinh Quoc], Dorai, C., Verikatesh, S.,
Narrative structure analysis with education and training videos for e-learning,
ICPR02(II: 835-838).
IEEE DOI 0211
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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
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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
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And:
Visual Abstraction of Wildlife Footage using Gaussian Mixture Models,
VI02(23).
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Sanchez, J.M., Binefa, X., Kender, J.R.,
Coupled markov chains for video contents characterization,
ICPR02(II: 461-464).
IEEE DOI 0211
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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
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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.).
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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).
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Rapid Summarisation and Browsing of Video Sequences,
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Piirainen, T., Silvén, O., Tuulos, V.,
Layered Self-organizing Maps based Video Content Classification,
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Ng, J., Gong, S.,
Learning Intrinsic Video Content Using Levenshtein Distance in Graph Partitioning,
ECCV02(IV: 670 ff.).
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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).
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Hanjalic, A.[Alan], Xu, L.Q.[Li-Qun],
User-Oriented Affective Video Content Analysis,
CBAIVL01(50).
IEEE DOI 0110
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Hamada, R.[Reiko], Satoh, S.[Shin'ichi], Sakai, S.[Shuichi],
Detection of Important Segments in Cooking Videos,
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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
BibRef

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
WWW Link. BibRef 0412

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 Summarization, Abstract, MPEG Based, AVC, H264, MPEG Metadata .


Last update:Oct 19, 2020 at 15:02:28