Interactive near-duplicate video retrieval and detection
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Monitoring near duplicates over video streams
Proceedings of the international conference on Multimedia
Multiple feature hashing for real-time large scale near-duplicate video retrieval
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Near-duplicate video retrieval: Current research and future trends
ACM Computing Surveys (CSUR)
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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.