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University of Bradford at TRECVID 2008 Content Based Copy Detection Task

Main information
We present a novel method for spatial-temporal video copy detection based on adaptive masking. Firstly, a dedicated video analysis is implemented for input videos, which ensures the accurate detection of complicated distortions query videos may undergo. Secondly, simple signatures are extracted for the benefit of time and space efficiency, and the frame mask is generated adaptively to reduce video temporal redundancy. Thirdly, a matching process is implemented to find video copies. The proposed video copy detection framework is effective, and robust against spatial and temporal variations. 
No referenced Knowhow defined
WP5: Detection, Extraction and Annotation of Knowledge. 
School of Informatics University of Bradford  Jianmin Jiang 
2008-12-17 14:35  Request for more detail


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TrecVid 2008 workshop on video copy detection, http://www-nlpir.nist.gov/projects/tvpubs/tv8.papers/bradford.pdf 
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