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Author:

Zhou, Yihua (Zhou, Yihua.) | Liu, Yongli (Liu, Yongli.) | Zhang, Jianbiao (Zhang, Jianbiao.) (Scholars:张建标)

Indexed by:

EI Scopus

Abstract:

In order to solve the semantic object extraction problem under complex background in video retrieval, semantic object extraction method based on combination of motion features and visual attention is presented. First, moving object is extracted using motion features; then static object that has important semantic characteristic is extracted using visual attention; finally, a complete integration method proposed to combine moving semantic object and static semantic object in the above. In this method, we take full advantages of motion feature of moving object and color and edge feature of static object. Experimental results show that this method has achieved remarkable results. ©2010 IEEE.

Keyword:

Intelligent systems Behavioral research Semantics Intelligent computing Extraction

Author Community:

  • [ 1 ] [Zhou, Yihua]College of Computer Science and Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Liu, Yongli]College of Computer Science and Technology, Beijing University of Technology, Beijing, China
  • [ 3 ] [Zhang, Jianbiao]College of Computer Science and Technology, Beijing University of Technology, Beijing, China

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Source :

Year: 2010

Volume: 2

Page: 845-849

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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