Abstract
TV news programs are important target of multimedia content analysis since they are one of major information sources for ordinary daily lives. Since the computer storage cost has reduced significantly, today we can digitally archive a huge amount of TV news programs. On the other hand, as the archive size grows larger, the cost for browsing and utilizing video archives also increases significantly. To circumvent this problem, we present a visualization method of TV news shots using the popularity-based filtering across multiple TV channels. This method can be regarded as social filtering by TV broadcasters or popularity ranking among TV channels. In order to examine the effectiveness of our approach, we conducted an experiment against a thousand-hour order video archive storing 6 TV-channel streams for one month long. To our best knowledge, there is no former work applying this scheme to such a huge archive with conducting quantitative evaluation.
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References
Haupmann, A.G., Witbrock, M.J.: Story Segmentation and Detection of Commercials in Broadcast News Video. In: Proceedings of the Advances in Digital Libraries Conference, pp. 168–179. IEEE Computer Society, Washington (1998)
Wu, C.-H., Hsieh, C.-H.: Story Segmentation and Topic Classification of Broadcast News via a Topic-Based Segmental Model and a Genetic Algorithm. IEEE Trans. on Audio, Speech, and Language Processing, 17(8), 1612–1623 (2009)
Zhai, Y., Shah, M.: Tracking News Stories across Different Sources. In: Proceedings of ACM Multimedia 2005, pp. 2–10. ACM, New York (2005)
Zhang, D.-Q., Chang, S.-F.: Detecting Image Near-Duplicate by Stochastic Attributed Relational Graph Matching with Learning. In: Proceedings of ACM Multimedia 2004, pp. 877–884. ACM, New York (2004)
Takimoto, M., Satoh, S., Sakauchi, M.: Identification and Detection of the Same Scene based on Flash Light Patterns. In: Proceedings of IEEE ICME 2006, pp. 9–12. Pergamon Press, Inc., Elmsford (2006)
Wu, X., Hauptmann, A.G., Ngo, C.-W.: Novelty Detection for Cross-Lingual News Stories with Visual Duplicates and Speech Transcripts. In: Proceedings of ACM Multimedia 2007, pp. 168–177. ACM, New York (2007)
Zheng, Y.-T., Neo, S.-Y., Chua, T.-S., Tian, Q.: The Use of Temporal, Semantic and Visual Partitioning Model for Efficient Near-Duplicate Keyframe Detection in Large Scale News Corpus. In: Proceedings of the ACM International Conference on Image and Video Retrieval 2007 (CIVR 2007), pp. 409–416. ACM, New York (2007)
Wu, X., Takimoto, M., Satoh, S., Adachi, J.: Scene Duplicate Detection Based on the Pattern of Discontinuities in Feature Point Trajectories. In: Proceeding of ACM Multimedia 2008, pp. 51–60. ACM, New York (2008)
Poullot, S., Crucianu, M., Buisson, O.: Scalable Mining of Large Video Databases Using Copy Detection. In: Proceedings of ACM Multimedia 2008, pp. 61–70. ACM, New York (2008)
Tan, H.-K., Ngo, C.-W., Hong, R., Chua, T.-S.: Scalable Detection of Partial Near-Duplicate Videos by Visual-Temporal Consistency. In: Proceedings of ACM Multimedia 2009, pp. 145–154. ACM, New York (2009)
Zhou, X., Zhou, X., Chen, L., Bouguettaya, A., Xiao, N., Taylor, J.A.: An Efficient Near-Duplicate Video Shot Detection Method Using Shot-Based Interest Points. IEEE Trans. on Multimedia 11(5), 879–891 (2009)
Döhring, I., Lienhart, R.: Mining TV Broadcasts for Recurring Video Sequences. In: Proceedings of the ACM International Conference on Image and Video Retrieval 2009 (CIVR 2009), no. 28. ACM, New York (2009)
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Katayama, N., Mo, H., Satoh, S. (2011). News Shot Cloud: Ranking TV News Shots by Cross TV-Channel Filtering for Efficient Browsing of Large-Scale News Video Archives. In: Lee, KT., Tsai, WH., Liao, HY.M., Chen, T., Hsieh, JW., Tseng, CC. (eds) Advances in Multimedia Modeling. MMM 2011. Lecture Notes in Computer Science, vol 6523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17832-0_27
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DOI: https://doi.org/10.1007/978-3-642-17832-0_27
Publisher Name: Springer, Berlin, Heidelberg
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