VISON: VIdeo Summarization for ONline applications

Pattern Recognition Letters

Volumn 33, Issue 4, 2012, Pages 397-409

  Almeida, Jurandy ^a   Leite, Neucimar J ^a   Torres, Ricardo Da S ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Compressed domain; Storyboards; Video browsing; Video summary

Indexed keywords

COMPRESSED DOMAIN; COMPUTATIONAL TIME; EFFICIENT SYSTEMS; EMPIRICAL COMPARISON; FAST ALGORITHMS; HIGH QUALITY; ON-LINE APPLICATIONS; ON-LINE USAGE; PROCESS VIDEO; RESEARCH AREAS; STORYBOARDS; SUBJECTIVE EVALUATIONS; TIME-CONSUMING TASKS; USE OF VIDEO; USER INTERACTION; VIDEO BROWSING; VIDEO CONTENTS; VIDEO DATA; VIDEO SEQUENCES; VIDEO STREAMS; VIDEO SUMMARIES; VIDEO SUMMARIZATION; VISUAL FEATURE;

DECODING; ONLINE SYSTEMS;

VIDEO RECORDING;

EID: 84855688221     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2011.08.007     Document Type: Article

References (38)

1. Almeida, J.; Rocha, A.; Torres, R.S.; Goldenstein, S.; 2008. Making colors worth more than a thousand words. In: ACM Internat. Symp. Applied Comput. (ACM SAC'08), pp. 1180-1186.
2. Almeida, J.; Minetto, R.; Almeida, T.A.; Torres, R.S.; Leite, N.J.; 2009. Robust estimation of camera motion using optical flow models. In: Internat. Symp. Adv. Visual Comput. (ISVC'09), pp. 435-446.
3. Almeida, J.; Minetto, R.; Almeida, T.A.; Torres, R.S.; Leite, N.J.; 2010. Estimation of camera parameters in video sequences with a large amount of scene motion. In: IEEE Internat. Conf. Syst.; Signals and Image Proc. (IWSSIP'10), pp. 348-351.
4. Almeida, J.; Torres, R.S.; Leite, N.J.; 2010. Rapid video summarization on compressed video. In: Proc. IEEE Internat. Symp. Multimedia (ISM'10), pp. 113-120.
5. Almeida, J.; Leite, N.J.; Torres, R.S.; 2011. Comparison of video sequences with histograms of motion patterns. In: IEEE Internat. Conf. Image Processing (ICIP'11).
6. Almeida, J.; Leite, N.J.; Torres, R.S.; 2011. Rapid cut detection on compressed video. In: Iberoamerican Congress on Pattern Recognition (CIARP'11).
7. S.E.F. Avila, A.P.B. Lopes, A. Luz Jr.; and A.A. Araújo VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method Pattern Recognition Lett. 32 1 2011 56 68
8. H. Blanken, A.P. Vries, H.E. Blok, and L. Feng Multimedia Retrieval 2007 Springer-Verlag, Inc.
9. Bouch, A.; Kuchinsky, A.; Bhatti, N.T.; 2000. Quality is in the eye of the beholder: Meeting users' requirements for internet quality of service. In: ACM Internat. Conf. Human Factors in Comput. Syst. (CHI'00), pp. 297-304.
10. J. Calic, D.P. Gibson, and N.W. Campbell Efficient layout of comic-like video summaries IEEE Trans. Circuits Syst. Video Technol. 17 7 2007 931 936 (Pubitemid 47159721)
11. S.-F. Chang, W. Chen, H.J. Meng, H. Sundaram, and D. Zhong A fully automated content-based video search engine supporting spatio-temporal queries IEEE Trans. Circuits Syst. Video Technol. 8 5 1998 602 615 (Pubitemid 128743727)
12. DeMenthon, D.; Kobla, V.; Doermann, D.S.; 1998. Video summarization by curve simplification. In: ACM Internat. Conf. Multimedia (MM'98), pp. 211-218.
13. M. Furini, F. Geraci, M. Montangero, and M. Pellegrini STIMO: STIll and MOving video storyboard for the web scenario Multimedia Tools Appl. 46 1 2010 47 69
14. Gong, Y.; Lin, X.; 2000. Video summarization using singular value decomposition. In: IEEE Internat. Conf. Computer Vision and Pattern Recognition (CVPR'00), pp. 2174-2180.
15. Hampapur, A.; Gupta, A.; Horowitz, B.; Shu, C.-F.; Fuller, C.; Bach, J.R.; Gorkani, M.; Jain, R.; 1997. Virage video engine. In: SPIE Internat. Conf. Storage and Retrieval for Image and Video Databases, pp. 188-198.
16. A. Hanjalic, and H. Zhang An integrated scheme for automated video abstraction based on unsupervised cluster-validity analysis IEEE Trans. Circuits Syst. Video Technol. 9 8 1999 1280 1289 (Pubitemid 32211348)
17. Herranz, L.; Martínez, J.M.; 2009. An efficient summarization algorithm based on clustering and bitstream extraction. In: IEEE Internat. Conf. Multimedia and Expo (ICME'09), pp. 654-657.
18. R. Jain The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling 1991 John Wiley and Sons, Inc.
19. C.W. Johnson, and M.D. Dunlop Subjectivity and notions of time and value in interactive information retrieval Interact. Comput. 10 1 1998 67 75 (Pubitemid 128457063)
20. Liu, X.; Mei, T.; Hua, X.-S.; Yang, B.; Zhou, H.-Q.; 2007. Video collage. In: ACM Internat. Conf. Multimedia (MM'07), pp. 461-462.
21. Martin, J.; Crowley, J.L.; 1995. Experimental comparison of correlation techniques. In: Internat. Conf. Intell. Autonomous Syst. (IAS'95).
22. Mattoccia, S.; Tombari, F.; Stefano, L.; 2008. Reliable rejection of mismatching candidates for efficient ZNCC template matching. In: IEEE Internat. Conf. Image Processing (ICIP'08), pp. 849-852.
23. A.G. Money, and H.W. Agius Video summarization: A conceptual framework and survey of the state of the art J. Visual Commun. Image Represent. 19 2 2008 121 143
24. P. Mundur, Y. Rao, and Y. Yesha Keyframe-based video summarization using delaunay clustering Internat. J. Digital Lib. 6 2 2006 219 232 (Pubitemid 43534917)
25. Over, P.; Smeaton, A.F.; Kelly, P.; 2007. The TRECVID 2007 BBC rushes summarization evaluation pilot. In: ACM Internat. Workshop on Video Summarization (TVS'07), pp. 1-15.
26. Over, P.; Smeaton, A.F.; Awad, G.; 2008. The TRECVID 2008 BBC rushes summarization evaluation. In: ACM Internat. Workshop on Video Summarization (TVS'08), pp. 1-20.
27. G. Paschos Perceptually uniform color spaces for color texture analysis: An empirical evaluation IEEE Trans. Image Proces. 10 6 2001 932 937 (Pubitemid 32498467)
28. L. Stefano, S. Mattoccia, and F. Tombari ZNCC-based template matching using bounded partial correlation Pattern Recognition Lett. 26 14 2005 2129 2134 (Pubitemid 41383613)
29. R.O. Stehling, M.A. Nascimento, and A.X. Falcão Techniques for color-based image retrieval Multimedia Mining - A Highway to Intelligent Multimedia Document Multimedia Systems and Applications vol. 22 2002 Kluwer Academic Publishers Norwell 61 80 (Chapter 4)
30. Sugano, M.; Nakajima, Y.; Yanagihara, H.; 2002. Automated MPEG audio-video summarization and description. In: IEEE Internat. Conf. Image Processing (ICIP'02), pp. 956-959.
31. C. Sun Fast optical flow using 3D shortest path techniques Image Vision Comput. 20 13-14 2002 981 991 (Pubitemid 35452372)
32. C. Sun Fast stereo matching using rectangular subregioning and 3D maximum-surface techniques Internat. J. of Comput. Vision 47 1-3 2002 99 117 (Pubitemid 34428425)
33. M.J. Swain, and B.H. Ballard Color indexing Internat. J. Comput. Vision 7 1 1991 11 32
34. B.T. Truong, and S. Venkatesh Video abstraction: A systematic review and classification ACM Trans. Multimedia Comput. Commun. Appl. 3 1 2007 1 37
35. D.-M. Tsai, C.-T. Lin, and J.-F. Chen The evaluation of normalized cross correlations for defect detection Pattern Recognition Lett. 24 15 2003 2525 2535 (Pubitemid 37027775)
36. B.-L. Yeo, and B. Liu Rapid scene analysis on compressed video IEEE Trans. Circuits Systems Video Technol. 5 6 1995 533 544
37. Yu, J.C.S.; Kankanhalli, M.S.; Mulhen, P.; 2003. Semantic video summarization in compressed domain MPEG video. In: IEEE Internat. Conf. Multimedia and Expo (ICME'03), pp. 329-332.
38. Zhuang, Y.; Rui, Y.; Huang, T.S.; Mehrotra, S.; 1998. Adaptive key frame extraction using unsupervised clustering. In: IEEE Internat. Conf. Image Processing (ICIP'98), pp. 866-870.