20.4.5.6.1 Multi-View Video Summarization

Chapter Contents (Back)
Multi-View Summarization. Video Abstracts. Video Summarization. Video Analysis. Summarization. 2509

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

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

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

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

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

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

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

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

Liu, N.[Nayu], Wei, K.W.[Kai-Wen], Yang, Y.[Yong], Tao, J.H.[Jian-Hua], Sun, X.[Xian], Yao, F.L.[Fang-Long], Yu, H.F.[Hong-Feng], Jin, L.[Li], Lv, Z.[Zhao], Fan, C.[Cunhang],
Multimodal Cross-Lingual Summarization for Videos: A Revisit in Knowledge Distillation Induced Triple-Stage Training Method,
PAMI(46), No. 12, December 2024, pp. 10697-10714.
IEEE DOI 2411
Videos, Training, Adaptation models, Task analysis, Knowledge transfer, Shape, Natural language Processing, cross-lingual alignment BibRef


Cheng, H.K.[Ho Kei], Ishii, M.[Masato], Hayakawa, A.[Akio], Shibuya, T.[Takashi], Schwing, A.[Alexander], Mitsufuji, Y.[Yuki],
MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis,
CVPR25(28901-28911)
IEEE DOI 2508
Training, Codes, Computational modeling, Semantics, Pipelines, Motion pictures, Synchronization, Videos, flow matching, multimodal BibRef

Lee, M.J.[Min Jung], Gong, D.[Dayoung], Cho, M.[Minsu],
Video Summarization with Large Language Models,
CVPR25(18981-18991)
IEEE DOI 2508
Visualization, Translation, Navigation, Large language models, Semantics, Streaming media, Cognition, Standards, Videos, multi-modal llm BibRef

Pasca, R.G.[Razvan-George], Gavryushin, A.[Alexey], Hamza, M.[Muhammad], Kuo, Y.L.[Yen-Ling], Mo, K.[Kaichun], Van Gool, L.J.[Luc J.], Hilliges, O.[Otmar], Wang, X.[Xi],
Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation,
CVPR24(18286-18296)
IEEE DOI Code:
WWW Link. 2410
Codes, Natural languages, Transformers, Videos, Egocentric Vision, Object Interaction Anticipation BibRef

Qiu, J.L.[Jie-Lin], Zhu, J.C.[Jia-Cheng], Han, W.[William], Kumar, A.[Aditesh], Mittal, K.[Karthik], Jin, C.[Claire], Yang, Z.Y.[Zheng-Yuan], Li, L.J.[Lin-Jie], Wang, J.F.[Jian-Feng], Zhao, D.[Ding], Li, B.[Bo], Wang, L.J.[Li-Juan],
MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos,
CVPR24(21909-21921)
IEEE DOI Code:
WWW Link. 2410
Technological innovation, Text summarization, Collaboration, Benchmark testing, Data collection, User experience, Thumbnail Generation BibRef

He, B.[Bo], Wang, J.[Jun], Qiu, J.L.[Jie-Lin], 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

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

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

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

Dale, K.[Kevin], Shechtman, E.[Eli], Avidan, S.[Shai], Pfister, H.[Hanspeter],
Multi-video browsing and summarization,
LSVSM12(1-8).
IEEE DOI 1207
BibRef

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

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

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


Last update:Sep 27, 2025 at 16:28:57