ABSTRACT
Web video browsing is rapidly becoming a very popular activity in the Web scenario, causing the production of a concise video content representation a real need. Currently, static video summary techniques can be used to this aim. Unfortunately, they require long processing time and hence all the summaries are produced in advance without any users customization. With an increasing number of videos and with the large users heterogeneousness, this is a burden. In this paper we propose VISTO, a summarization technique that produces customized on-the-fly video storyboards. The mechanism uses a fast clustering algorithm that selects the most representative frames using their HSV color distribution and allows users to select the storyboard length and the processing time. An objective and subjective evaluation shows that the storyboards are produced with good quality and in a time that allows on-the-fly usage.
- http://www.csee.umbc.edu/yongrao1/delaunay.html.Google Scholar
- The open video projec, http://www.open-video.org.Google Scholar
- M. S. Charikar. Similarity estimation techniques from rounding algorithms. In Proceedings of STOC-02, 34th Annual ACM Symposium on the Theory of Computing, pages 380--388, Montreal, CA, 2002. Google ScholarDigital Library
- D. DeMenthon, V. Kobla, and D. Doermann. Video summarization by curve simplification. In Proc. of Computer Visualization and Pattern Recognition, 1998.Google ScholarCross Ref
- T. Feder and D. Greene. Optimal algorithms for approximate clustering. In STOC '88: Proceedings of the twentieth annual ACM symposium on Theory of computing, pages 434--444, New York, NY, USA, 1988. ACM Press. Google ScholarDigital Library
- F. Geraci, M. Pellegrini, P. Pisati, and F. Sebastiani. A scalable algorithm for high-quality clustering of Web snippets. In Proceedings of SAC-06, 21st ACM Symposium on Applied Computing, pages 1058--1062, Dijon, FR, 2006. Google ScholarDigital Library
- F. Geraci, M. Pellegrini, F. Sebastiani, and M. Maggini. Cluster generation and cluster labelling for web snippets. In Proceedings of the 13th Symposium on String Processing and Information Retrieval (SPIRE 2006), pages 25--36, Glasgow, UK., October 2006. Volume 4209 in LNCS. Google ScholarDigital Library
- Y. Gong and X. Liu. Video summarization and retrieval using singular value decomposition. Multimedia Syst., 9(2):157--168, 2003. Google ScholarDigital Library
- T. F. Gonzalez. Clustering to minimize the maximum intercluster distance. Theoretical Computer Science, 38(2/3):293--306, 1985.Google ScholarCross Ref
- Y. Hadi, F. Essannoui, R. Thami, and D. Aboutajdine. Video summarization by k-medoid clustering. In Proc. of ACM Symposium on Applied Computing, 2006. Google ScholarDigital Library
- Y. Hadi, F. Essannouni, and R. O. H. Thami. Video summarization by k-medoid clustering. In SAC '06: Proceedings of the 2006 ACM symposium on Applied computing, pages 1400--1401, New York, NY, USA, 2006. ACM Press. Google ScholarDigital Library
- A. Hanjalic and H. J. Zhang. An integrated scheme for automated video abstraction based on unsupervised cluster-validity analysis. In IEEE Trans. on Circuits and Systems for Video Technology, volume 9, pages 1280--1289, 1999. Google ScholarDigital Library
- D. S. Hochbaum and D. B. Shmoys. A best possible approximation algorithm for the k-center problem. Mathematics of Operations Research, 10(2):180--184, 1985.Google ScholarDigital Library
- P. Indyk. Sublinear time algorithms for metric space problems. In Proceedings of STOC-99, ACM Symposium on Theory of Computing, pages 428--434, 1999. Google ScholarDigital Library
- B. S. Manjunath, J. R. Ohm, V. V. Vasudevan, and A. Yamada. Color and texture descriptors. IEEE Transactions on Circuits and Systems For Video Technology, 11:703--715, 2001. Google ScholarDigital Library
- P. Mundur, Y. Rao, and Y. Yesha. Keyframe-based video summarization using delaunay clustering. International Journal on Digital Libraries, 6(2):219--232, 2006. Google ScholarDigital Library
- S. J. Phillips. Acceleration of k-means and related clustering algorithms. In Proceedings of ALENEX-02, 4th International Workshop on Algorithm Engineering and Experiments, pages 166--177, San Francisco, US, 2002. Google ScholarDigital Library
- B. Shahraray and D. C. Gibbon. Automatic generation of pictorial transcripts of video programs. In A. A. Rodriguez and J. Maitan, editors, Proc. SPIE Vol. 2417, p. 512--518, Multimedia Computing and Networking 1995, Arturo A. Rodriguez; Jacek Maitan; Eds., pages 512--518, Mar. 1995.Google Scholar
- H. Ueda, T. Miyatake, and S. Yoshizawa. Impact: an interactive natural-motion-picture dedicated multimedia authoring system. In CHI '91: Proceedings of the SIGCHI conference on Human factors in computing systems, pages 343--350, New York, NY, USA, 1991. ACM Press. Google ScholarDigital Library
- Y. Zhuang, Y. Rui, T. S. Huang, and S. Mehrotra. Adaptive key frame extraction using unsupervised clustering. In IEEE International Conference on Image Processing, pages 866--870, 1998.Google Scholar
Index Terms
- VISTO: visual storyboard for web video browsing
Recommendations
STIMO: STIll and MOving video storyboard for the web scenario
In the current Web scenario a video browsing tool that produces on-the-fly storyboards is more and more a need. Video summary techniques can be helpful but, due to their long processing time, they are usually unsuitable for on-the-fly usage. Therefore, ...
An interactive comic book presentation for exploring video
CHI '00: Proceedings of the SIGCHI conference on Human Factors in Computing SystemsThis paper presents a method for generating compact pictorial summarizations of video. We developed a novel approach for selecting still images from a video suitable for summarizing the video and for providing entry points into it. Images are laid out ...
A Generalized Links and Text Properties Based Forum Crawler
WI-IAT '12: Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01Web forums have become a major source of information gathering/mining due to a large amount of user generated content. Crawling of web forums is necessary to gather/mine the information from them. However, a generic web crawler is unable to efficiently ...
Comments