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2009 IEEE 25th International Conference on Data Engineering (2009)
Mar. 29, 2009 to Apr. 2, 2009
ISSN: 1084-4627
ISBN: 978-0-7695-3545-6
pp: 1511-1514
Video search has become a compelling research topic in recent years, due to the proliferation of online video uploading/sharing sites and the exponential explosion of video data. In this demonstration, we showcase a Web-based integrated platform which performs online detection of near-duplicate occurrences over continuous video streams, as well as retrieval of near-duplicate clips from segmented video collections. In particular, our method to detect relevant subsequences in a streaming video is characterized by a novel one-dimensional distance trajectory capturing the changes of consecutive frames. Such a trajectory is further represented by a sequence of compact signatures. An effective similarity measure is devised to compare the trajectory with multiple query videos. This system shows a number of new features compared with our previous prototype.

X. Zhou, J. Shao, H. T. Shen, L. Wang and Z. Huang, "Online Near-Duplicate Video Clip Detection and Retrieval: An Accurate and Fast System," 2009 IEEE 25th International Conference on Data Engineering(ICDE), vol. 00, no. , pp. 1511-1514, 2009.
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