Challenges and techniques for effective and efficient similarity search in large video databases
Proceedings of the VLDB Endowment
Bounded coordinate system indexing for real-time video clip search
ACM Transactions on Information Systems (TOIS)
A compact, effective descriptor for video copy 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
Boundary-based lower-bound functions for dynamic time warping and their indexing
Information Sciences: an International Journal
Structure tensor series-based matching for near-duplicate video retrieval
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Scene segmentation of wedding party videos by scenario-based matching with example videos
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Speeding up complex video copy detection queries
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
ACM Transactions on Information Systems (TOIS)
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The proliferation of digital video urges the need of video copy detection for content and rights management. An efjcient video copy detection technique should be able to deal with spatiotemporal variations (e.g., changes in brightness or frame rates), and lower down the computation cost. m i l e most studies put more emphases on spatial variations, less effort is made for temporal variations and computation cost. To address the above issues, we propose a time warping based approach for video copy detection. A time warping matching algorithm is used to deal with video temporal variations. To reduce matching times, a fast Pltering method to generate key parries and select candidate clips from video is presented. Our experiments demonstrate promising results of the proposed approach.