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» Video Scene Understanding Using Multi-scale Analysis
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HRI
2009
ACM
15 years 4 months ago
A preliminary system for recognizing boredom
A 3D optical flow tracking system was used to track participants as they watched a series of boring videos. The video stream of the participants was rated for boredom events. Rati...
Allison M. Jacobs, Benjamin R. Fransen, J. Malcolm...
TCSV
2008
107views more  TCSV 2008»
14 years 9 months ago
Person Surveillance Using Visual and Infrared Imagery
This paper presents a methodology for analyzing multimodal and multiperspective systems for person surveillance. Using an experimental testbed consisting of two color and two infra...
Stephen J. Krotosky, Mohan M. Trivedi
ICPR
2000
IEEE
15 years 2 months ago
Automatic Genre Identification for Content-Based Video Categorization
Thispaper presents a set of computationalfeatures originatingfrom our study of editing effects, motion, and color used in videos,for the task of automatic video categorization. Th...
Ba Tu Truong, Svetha Venkatesh, Chitra Dorai
MM
2006
ACM
127views Multimedia» more  MM 2006»
15 years 3 months ago
Automatic scaling and cropping of videos for devices with limited screen resolution
A large number of previously recorded videos cannot be directly visualized on mobile devices like PDAs or mobile phones due to an inappropriate screen resolution of their displays...
Stephan Kopf, Fleming Lampi, Thomas King, Wolfgang...
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 3 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang