Journal of University of Chinese Academy of Sciences >
A fast and effective similar video search method
Received date: 2009-10-14
Revised date: 2009-12-29
Online published: 2010-05-15
A novel fast video similarity search approach was proposed. Image characteristic code and video component were computed based on the statistics of video spatial-temporal distribution. Video similarity was measured by computing the number of video components. An efficient search method based on clustering index table was proposed for the requirement of scalable computing. The query test results from large video database show that the proposed video similarity search algorithm is efficient and effective.
CAO Zheng , ZHU Ming . A fast and effective similar video search method[J]. Journal of University of Chinese Academy of Sciences, 2010 , 27(3) : 376 -380 . DOI: 10.7523/j.issn.2095-6134.2010.3.011
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