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›› 2010, Vol. 27 ›› Issue (3): 376-380.DOI: 10.7523/j.issn.2095-6134.2010.3.011

• Research Articles • Previous Articles     Next Articles

A fast and effective similar video search method

CAO Zheng, ZHU Ming   

  1. Department of Automation, University of Science and Technology of China, The Key Lab of Network Communication System & Control, Chinese Academy of Sciences,The Key Lab of Network Communication System & Control, Anhui Province, Hefei 230027, China
  • Received:2009-10-14 Revised:2009-12-29 Online:2010-05-15

Abstract:

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.

Key words: video similarity search, image characteristic code, clustering index table, spatial-temporal distribution

CLC Number: