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

被引：1

作者：

Liao, Kaiyang ^{[1
]}

Zhao, Fan ^{[1
]}

Zhang, Mingzhu ^{[2
]}

机构：

[1] Xian Univ Technol, Sch Printing & Packaging Engn, Xian 710048, Peoples R China

[2] Xian Fanyi Univ, Dept Publ Courses, Xian 710005, Peoples R China

来源：

KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS | 2014年 / 8卷 / 10期

基金：

中国国家自然科学基金;

关键词：

Large-scale indexing; parallel video copy detection; parallel video retrieval; parallel clustering; EFFICIENT; SEARCH;

D O I：

10.3837/tiis.2014.10.014

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：3520 / 3537

页数：18

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