期刊
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
卷 32, 期 -, 页码 120-129出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jvcir.2015.08.001
关键词
Video copy detection; Content protection; Video fingerprinting; Dimensionality reduction; Double optimal projection; Graph model; Intra-cluster; Inter-cluster
资金
- scientific research foundation for the excellent middle-aged and youth scientists of Shandong province [BS2013DX013, BS2013DX040]
- national natural science foundation of China [61101162]
A double optimal projection method that involves projections for intra-cluster and inter-cluster dimensionality reduction are proposed for video fingerprinting. The video is initially set as a graph with frames as its vertices in a high-dimensional space. A similarity measure that can compute the weights of the edges is then proposed. Subsequently, the video frames are partitioned into different clusters based on the graph model. Double optimal projection is used to explore the optimal mapping points in a low-dimensional space to reduce the video dimensions. The statistics and geometrical fingerprints are generated to determine whether a query video is copied from one of the videos in the database. During matching, the video can be roughly matched by utilizing the statistics fingerprint. Further matching is thereafter performed in the corresponding group using geometrical fingerprints. Experimental results show the good performance of the proposed video fingerprinting method in robustness and discrimination. (C) 2015 Elsevier Inc. All rights reserved.
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