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» Human attention model for semantic scene analysis in movies
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ICMCS
2008
IEEE
156views Multimedia» more  ICMCS 2008»
13 years 10 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 techniq...
Anan Liu, Yongdong Zhang, Yan Song, Dongming Zhang...
IJCV
2007
195views more  IJCV 2007»
13 years 4 months ago
Pre-Attentive and Attentive Detection of Humans in Wide-Field Scenes
We address the problem of localizing and obtaining high-resolution footage of the people present in a scene. We propose a biologically-inspired solution combining pre-attentive, lo...
James H. Elder, Simon J. D. Prince, Yuqian Hou, Mi...
MM
2010
ACM
336views Multimedia» more  MM 2010»
13 years 4 months ago
Movie genre classification via scene categorization
This paper presents a method for movie genre categorization of movie trailers, based on scene categorization. We view our approach as a step forward from using only low-level visu...
Howard Zhou, Tucker Hermans, Asmita V. Karandikar,...
CVPR
2009
IEEE
14 years 11 months ago
Actions in context
This paper exploits the context of natural dynamic scenes for human action recognition in video. Human actions are frequently constrained by the purpose and the physical propert...
Marcin Marszalek (INRIA), Ivan Laptev (INRIA), Cor...
ICIP
2005
IEEE
14 years 6 months ago
Spatio-temporal attention model for video content analysis
This paper presents a new model of human attention that allows salient areas to be extracted from video frames. As automatic understanding of video semantic content is still far fr...
Mickael Guironnet, Nathalie Guyader, Denis Pelleri...