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0501
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0311
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IEEE DOI
0211
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Peng, Y.X.[Yu-Xin],
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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
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Li, Z.[Zhu],
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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],
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0703
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Campbell, N.W.,
Efficient Layout of Comic-Like Video Summaries,
CirSysVideo(17), No. 7, July 2007, pp. 931-936.
IEEE DOI
0707
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Herranz, L.,
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Scalable Comic-Like Video Summaries and Layout Disturbance,
MultMed(14), No. 4, 2012, pp. 1290-1297.
IEEE DOI
1208
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Guironnet, M.,
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Video Summarization Based on Camera Motion and a Subjective Evaluation
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JIVP(2007), 2007, pp. xx-yy.
DOI Link
0804
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Zhao, H.L.[Han-Li],
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0804
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0911
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Depth-Aware Video Abstraction,
PSIVT10(475-480).
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1011
BibRef
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Association and Temporal Rule Mining for Post-Filtering of Semantic
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0905
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Cross-Domain Multicue Fusion for Concept-Based Video Indexing,
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1208
Cues beyond image features, multiple cues, how to apply to a new domain.
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Chang, S.F.[Shih-Fu],
Content-based video summarization and adaptation for ubiquitous media
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CIAP03(494-496).
IEEE DOI
0310
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Cooper, M.,
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Video Segmentation via Temporal Pattern Classification,
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0905
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Herranz, L.,
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A Framework for Scalable Summarization of Video,
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1003
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Ren, J.,
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Hierarchical Modeling and Adaptive Clustering for Real-Time
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0907
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Li, Z.,
Ishwar, P.,
Konrad, J.,
Video Condensation by Ribbon Carving,
IP(18), No. 11, November 2009, pp. 2572-2583.
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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
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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.,
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Zhu, Y.,
Liu, F.,
Song, C.,
Zhou, Z.H.,
Multi-View Video Summarization,
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1011
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Chellappa, R.,
Video Précis: Highlighting Diverse Aspects of Videos,
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1011
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Aarabi, P.[Parham],
Tiny Videos: A Large Data Set for Nonparametric Video Retrieval and
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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:
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1110
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Online Video Stream Abstraction and Stylization,
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1112
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Summarizing Rushes Videos by Motion, Object, and Event Understanding,
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1201
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Tao, D.,
Wang, M.,
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Xu, C.,
Parallel Lasso for Large-Scale Video Concept Detection,
MultMed(14), No. 1, January 2012, pp. 55-65.
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1201
BibRef
Tang, S.,
Zheng, Y.T.,
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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,
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Wang, Z.,
Li, H.,
Ling, Q.,
Li, W.,
Robust Temporal-Spatial Decomposition and Its Applications in Video
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CirSysVideo(23), No. 3, March 2013, pp. 387-400.
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1303
BibRef
Omidyeganeh, M.,
Ghaemmaghami, S.,
Shirmohammadi, S.,
Group-based spatio-temporal video analysis and abstraction using
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Chen, F.[Fan],
de Vleeschouwer, C.,
Cavallaro, A.,
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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
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
Jin, Y.[Ye],
Tian, X.Y.[Xiao-Yan],
Zhang, Z.[Zhao],
Liu, P.[Peng],
Tang, X.L.[Xiang-Long],
C2F: An effective coarse-to-fine network for video summarization,
IVC(144), 2024, pp. 104962.
Elsevier DOI
2404
Video summarization, Coarse-to-fine network,
Multiscale representation, Local adaptive loss
BibRef
Lin, J.Y.[Jing-Yang],
Hua, H.[Hang],
Chen, M.[Ming],
Li, Y.K.[Yi-Kang],
Hsiao, J.[Jenhao],
Ho, C.[Chiuman],
Luo, J.B.[Jie-Bo],
VideoXum: Cross-Modal Visual and Textural Summarization of Videos,
MultMed(26), 2024, pp. 5548-5560.
IEEE DOI
2404
Videos, Task analysis, Semantics, Visualization, Benchmark testing,
Coherence, Training, Cross-modal video summarization,
video summarization
BibRef
Zhang, Y.Z.[Yun-Zuo],
Liu, Y.[Yameng],
Kang, W.[Weili],
Tao, R.[Ran],
VSS-Net: Visual Semantic Self-Mining Network for Video Summarization,
CirSysVideo(34), No. 4, April 2024, pp. 2775-2788.
IEEE DOI
2404
Visualization, Semantics, Task analysis, Context modeling, Feature extraction,
Streaming media, Computational modeling, information exchange
BibRef
El-Nagar, G.[Gamal],
El-Sawy, A.[Ahmed],
Rashad, M.[Metwally],
A deep audio-visual model for efficient dynamic video summarization,
JVCIR(100), 2024, pp. 104130.
Elsevier DOI
2405
Video Skimming, VGGish, SumMe, TVSum, Visualization of score curves
BibRef
Jia, M.Z.[Meng-Zhao],
Wei, Y.W.[Yin-Wei],
Song, X.M.[Xue-Meng],
Sun, T.[Teng],
Zhang, M.[Min],
Nie, L.Q.[Li-Qiang],
Query-Oriented Micro-Video Summarization,
PAMI(46), No. 6, June 2024, pp. 4174-4187.
IEEE DOI
2405
Videos, Semantics, Task analysis, Visualization, Training, Painting,
Noise measurement, Video summarization, query suggestion, micro-video retrieval
BibRef
Gunuganti, J.[Jeshmitha],
Yeh, Z.T.[Zhi-Ting],
Wang, J.H.[Jenq-Haur],
Norouzi, M.[Mehdi],
Unsupervised video summarization with adversarial graph-based
attention network,
JVCIR(102), 2024, pp. 104200.
Elsevier DOI
2407
Video summarization, Video structure analysis,
Video keyframe extraction, Video highlight detection, Graph neural network
BibRef
Kashid, S.[Shamal],
Awasthi, L.K.[Lalit K.],
Berwal, K.[Krishan],
Saini, P.[Parul],
Spatiotemporal Feature Fusion for Video Summarization,
MultMedMag(31), No. 3, July 2024, pp. 88-97.
IEEE DOI
2410
Feature extraction, Long short term memory, Training,
Benchmark testing, Logic gates, Video compression, Web sites
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
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
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
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
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.,
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Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Video Captioning .