Video Summarization: Techniques and Applications
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32794
Video Summarization: Techniques and Applications

Authors: Zaynab Elkhattabi, Youness Tabii, Abdelhamid Benkaddour

Abstract:

Nowadays, huge amount of multimedia repositories make the browsing, retrieval and delivery of video contents very slow and even difficult tasks. Video summarization has been proposed to improve faster browsing of large video collections and more efficient content indexing and access. In this paper, we focus on approaches to video summarization. The video summaries can be generated in many different forms. However, two fundamentals ways to generate summaries are static and dynamic. We present different techniques for each mode in the literature and describe some features used for generating video summaries. We conclude with perspective for further research.

Keywords: Semantic features, static summarization, video skimming, Video summarization.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1100164

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References:


[1] B. T. Truong and S. Venkatesh, “Video Abstraction: A Systematic Review and Classification,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 3, no. 3, February 2007.
[2] E. Asadi and N. M. Charkari, “Video Summarization Using Fuzzy CMeans Clustering,” in 20th Iranian Conference on Electrical Engineering, (ICEE2012). IEEE, 15-17 May 2012, pp. 690 – 694.
[3] Z. Xiong, R. Radhakrishnan, A. Divakaran, Y. Rui, and T. S. Huang, A Unified Framework for Video Summarization, Browsing Retrieval: with Applications to Consumer and Surveillance Video. Academic Press.2006.
[4] T. Mei, L.-X. Tang, J. Tang, and X.-S. Hua, “Near-Lossless Semantic Video Summarization and Its Applications to Video Analysis,” ACM Trans. Multimedia Computing Communications and Applications, June 2013.
[5] E. J. Y. C. Cahuina and G. C. Chavez, “A New Method for Static Video Summarization Using Local Descriptors and Video Temporal Segmentation,” in 26th Conference on Graphics, Patterns and Images (SIBGRAPI). IEEE, 5-8 Aug 2013, pp. 226–233.
[6] E. Mendi, H. B. Clemente, and C. Bayrak, “Sports video summarization based on motion analysis,” Computers and Electrical Engineering, vol. 39, pp. 790–796, April 2013.
[7] E. Mendi and C. Bayrak, “Shot Boundary Detection and Key Frame Extraction using Salient Region Detection and Structural Similarity,” in ACM SE ’10 Proceedings of the 48th Annual Southeast Regional Conference, no. 66, 2010.
[8] E. J. Y. Cayllahua-Cahuina, G. Camara-Chavez, and D. Menotti, “A static video summarization approach with automatic shot detection using color histograms,” 2012.
[9] M. K.M., G. N.M., and I. M.A., “VGRAPH: An Effective Approach for Generating Static Video Summaries,” in IEEE International Conference on Computer Vision Workshops (ICCVW). IEEE, 2-8 Dec 2013, pp. 811 – 818.
[10] J. Li, “Video Shot Segmentation and Key Frame Extraction Based on SIFT Feature,” in 2012 International Conference on Image Analysis and Signal Processing (IASP). IEEE, 9-11 Nov 2012, pp. 1–8.
[11] L. D.G., “Object Recognition from Local Scale-Invariant Features,” in The Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999, vol. 2. IEEE, 20-27 Sep 1999, pp. 1150–1157.
[12] Y. Tabii and R. O. H. Thami, “A new method for soccer video summarization based on shot detection, classification and finite state machine,” in SETIT 2009 5th International Conference: Sciences of Electronic, Technologies of Information and Telecommunications, 22-26 March 2009.
[13] X. Sun and M. S. Kankanhalli, “Video Summarization Using RSequences,” Real-Time Imaging, vol. 6, pp. 449–459, December 2000.
[14] J. Hou, J. Kang, and N. Qi, On Vocabulary Size in Bag-of-Visual- Words Representation, ser. Lecture Notes in Computer Science, 21-24 September 2010, vol. 6297, pp. 414–424.
[15] Z. Yuan, T. Lu, D. Wu, and H. Y. Yu Huang, “Video Summarization with Semantic Concept Preservation,” in MUM ’11 Proceedings of the 10th International Conference on Mobile and Ubiquitous Multimedia, 2011, pp. 109–112.
[16] V. N. and L. A., “Bayesian Modeling of Video Editing and Structure: Semantic features for Video Summarization and Browsing,” in Proceedings of 1998 International Conference on Image Processing. ICIP 98, vol. 3. IEEE, 4-7 Oct 1998, pp. 153–157.
[17] Cvetkovic, S. Jelenkovic, and S. V. M. Nikolic, “Video summarization using color features and efficient adaptive threshold technique,” Przeglad Elektrotechniczny, vol. R. 89, nr 2a, pp. 247 – 250, 2013.
[18] N. Ejaza, T. B. Tariqb, and S. W. Baika, “Adaptive key frame extraction for video summarization using an aggregation mechanism,” Journal of Visual Communication and Image Representation, vol. 23, no. 7, pp.1031–1040, October 2012.
[19] M. Sophie, G. Mick¨ael, and P. Denis, “Résumé de vidéo à partir d’un modèle d’attention visuelle,” in GRETSI - Actes de Colloque, G. d’Etudes du Traitement du Signal et des Images, Ed., 2007.
[20] M. S. Lew, N. Sebe, C. Djeraba, and R. Jain, “Content-Based Multimedia Information Retrieval: State of the Art and Challenges,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 2, pp. 1–9, February 2006.
[21] Y.-F. Ma and H.-J. Zhang, “A model of motion attention for video skimming,” in Proceedings. International Conference on Image Processing, vol. 1. IEEE, 2002, pp. 129–132.
[22] S. Zhu, Z. Liang, and Y. Liu, Automatic Video Abstraction via the Progress of Story, ser. Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010, vol. 6297, pp. 308–318.
[23] R. Laganière, R. Bacco, A. Hocevar, P. Lambert, G. Païs, and B. E. Ionescu, “Video summarization from spatio-temporal features,” in TVS’08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop, 2008, pp. 144–148.
[24] Y. Gao, W.-B. Wang, J.-H. Yong and H.-J. Gu, “Dynamic video summarization using two-level redundancy detection,” Multimedia Tools and Applications, vol. 42, pp. 233–250, April 2009.
[25] M. G. Brown, J. T. Foote, G. J. F. Jones, K. S. Jones, and S. J. Young, “Automatic content-based retrieval of broadcast news,” in MULTIMEDIA ’95 Proceedings of the third ACM international conference on Multimedia. ACM Digital Library, 1999, pp. 35–43.
[26] S. P. Rajendra and K. N, “A Survey of Automatic Video Summarization Techniques,” International Journal of Electronics, Electrical and Computational System (IJEECS), vol. 3, April 2014.
[27] N. Dimitrova, H.-J. Zhang, B.Shahraray, I. Sezan, T. Huang, and A. Zakhor, “Applications of video-content analysis and retrieval,” in IEEE Multimedia, IEEE, Ed., 2002.