Monitoring near duplicates over video streams
Proceedings of the international conference on Multimedia
Deluding image recognition in sift-based cbir systems
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
Copy detection of immersed content in video databases
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
Compact video description for copy detection with precise temporal alignment
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Accurate content-based video copy detection with efficient feature indexing
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Computational intelligence in multimedia processing
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Spatio-temporal video copy detection
Proceedings of the 3rd Multimedia Systems Conference
Recurring element detection in movies
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Efficient video copy detection via aligning video signature time series
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
An efficient video copy detection method combining vocabulary tree and inverted file
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Frame filtering and path verification for improving video copy detection
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Near-duplicate video retrieval: Current research and future trends
ACM Computing Surveys (CSUR)
Content-based copy detection through multimodal feature representation and temporal pyramid matching
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Rotation and flipping robust region binary patterns for video copy detection
Journal of Visual Communication and Image Representation
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This paper introduces a video copy detection system which efficiently matches individual frames and then verifies their spatio-temporal consistency. The approach for matching frames relies on a recent local feature indexing method, which is at the same time robust to significant video transformations and efficient in terms of memory usage and computation time. We match either keyframes or uniformly sampled frames. To further improve the results, a verification step robustly estimates a spatio-temporal model between the query video and the potentially corresponding video segments. Experimental results evaluate the different parameters of our system and measure the trade-off between accuracy and efficiency. We show that our system obtains excellent results for the TRECVID 2008 copy detection task.