Parallel Implementation Strategy for Content Based Video Copy Detection Using a Multi-core Processor

Video copy detection methods have emerged in recent years for a variety of applications. However, the lack of efficiency in the usual retrieval systems restricts their use. In this paper, we propose a parallel implementation strategy for content based video copy detection (CBCD) by using a multi-cor...

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Bibliographic Details
Published in:KSII transactions on Internet and information systems 2014, 8(10), , pp.3520-3537
Main Authors: Liao, Kaiyang, Zhao, Fan, Zhang, Mingzhu
Format: Article
Language:English
Subjects:
Copy prevention techniques
Digital video
Engineering research
Information storage and retrieval
Methods
Multiple core processors
Software protection
컴퓨터학
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Summary:Video copy detection methods have emerged in recent years for a variety of applications. However, the lack of efficiency in the usual retrieval systems restricts their use. In this paper, we propose a parallel implementation strategy for content based video copy detection (CBCD) by using a multi-core processor. This strategy can support video copy detection effectively, and the processing time tends to decrease linearly as the number of processors increases. Experiments have shown that our approach is successful in speeding up computation and as well as in keeping the performance. Keywords: Large-scale indexing, parallel video copy detection, parallel video retrieval, parallel clustering
ISSN:1976-7277
1976-7277
DOI:10.3837/tiis.2014.10.014