Journal on Communications ›› 2016, Vol. 37 ›› Issue (2): 81-88.doi: 10.11959/j.issn.1000-436x.2016033

• academic paper • Previous Articles     Next Articles

Image information measurement for video retrieval

Qing-sheng YUAN1,2,Dong-ming ZHANG3,4,Guo-qing JIN3,4,Fei LIU3,4,Xiu-guo BAO1,2   

  1. 1 Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100193,China
    2 National Computer Network Emergency Response Technical Team/Coordination Center of China,Beijing 100029, China
    3 Key Lab of Intelligent Information Processing, Chinese Academy of Sciences, Beijing 100190, China
    4 Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190,China
  • Online:2016-02-26 Published:2016-02-26
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National High Technology Research and Development Program of China (863 Program)

Abstract:

To meet the speed and performance requirements, Sub-region entropy based image information measurement (SEII)method was proposed, which integrates the salie region detection, region division and features fusion. And, performance evaluation method was designed and many experiments were carried out, proving SEII coordinates with human vision evaluation.Also,SEII is evaluated in a real video retrieval system,which shows increase about 4.4% of mAP with 1.5 times speedup.

Key words: video retrieval, key frame selection, image information, salient region, features fusion

No Suggested Reading articles found!