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作者:

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

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EI Scopus

摘要:

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.

关键词:

Behavioral research Extraction Intelligent computing Intelligent systems Semantics

作者机构:

  • [ 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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年份: 2010

卷: 2

页码: 845-849

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 6

ESI高被引论文在榜: 0 展开所有

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