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CVPR
2011
IEEE
13 years 1 months ago
Recognizing Human Actions by Attributes
In this paper we explore the idea of using high-level semantic concepts, also called attributes, to represent human actions from videos and argue that attributes enable the constr...
Jingen Liu
FGR
2011
IEEE
340views Biometrics» more  FGR 2011»
12 years 9 months ago
Action unit detection using sparse appearance descriptors in space-time video volumes
— Recently developed appearance descriptors offer the opportunity for efficient and robust facial expression recognition. In this paper we investigate the merits of the family o...
Bihan Jiang, Michel François Valstar, Maja ...
CHI
2009
ACM
13 years 6 months ago
Spatio-temporal interest points for video analysis
In this paper, we discuss the potential for effective representations of video data to aid analysis of large datasets of video clips and describe a prototype developed to explore ...
Ramsin Khoshabeh, James D. Hollan

Publication
200views
12 years 1 months ago
Learning Tags from Unsegmented Videos of Multiple Human Actions
Providing methods to support semantic interaction with growing volumes of video data is an increasingly important challenge for data mining. To this end, there has been some succes...
Timothy Hospedales, Shaogang Gong, Tao Xiang
CVPR
2012
IEEE
11 years 7 months ago
Submodular dictionary learning for sparse coding
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
Zhuolin Jiang, Guangxiao Zhang, Larry S. Davis