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2008
IEEE

Human attention model for semantic scene analysis in movies

8 years 8 months ago
Human attention model for semantic scene analysis in movies
In this paper, we specifically propose the Weber-Fechner Law-based human attention model for semantic scene analysis in movies. Different from traditional video processing techniques, we pay more attention on bringing in the related subjects, such as psychology, physiology and cognitive informatics, for content-based video analysis. The innovation of our work has two aspects. Firstly, we originally construct the human attention model with temporal information instructed by the Weber-Fechner Law. Secondly, motivated by cognitive informatics, we formulate the computational methodology of features in visual, audio and textual modalities in the uniform metric of information quantity. With human attention analysis and semantic scene detection, we build a system for hierarchical browse and edit with semantics annotation. Large-scale experiments demonstrate the effectiveness and generality of the proposed human attention model for movie analysis.
Anan Liu, Yongdong Zhang, Yan Song, Dongming Zhang
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICMCS
Authors Anan Liu, Yongdong Zhang, Yan Song, Dongming Zhang, Jintao Li, Zhaoxuan Yang
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