2009 IEEE 25th International Conference on Data Engineering (2009)
Mar. 29, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2009.17
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.