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» Deep learning from temporal coherence in video
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CVPR
2011
IEEE
13 years 4 months ago
Random Field Topic Model for Semantic Region Analysis in Crowded Scenes from Tracklets
In this paper, a Random Field Topic (RFT) model is proposed for semantic region analysis from motions of objects in crowded scenes. Different from existing approaches of learning ...
Bolei Zhou, Xiaogang Wang
NPAR
2004
ACM
14 years 2 months ago
Image and video based painterly animation
ssionism”, (bottom row) “Abstract”, “Pointillism”, “Flower” and “Abstract” styles. Figure 3 shows some of the brush strokes used. We present techniques for trans...
James Hays, Irfan A. Essa
CVPR
2003
IEEE
14 years 11 months ago
Video-Based Face Recognition Using Adaptive Hidden Markov Models
While traditional face recognition is typically based on still images, face recognition from video sequences has become popular recently. In this paper, we propose to use adaptive...
Xiaoming Liu 0002, Tsuhan Chen
ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
14 years 3 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...
PAMI
2002
150views more  PAMI 2002»
13 years 8 months ago
Object Tracking with Bayesian Estimation of Dynamic Layer Representations
Decomposing video frames into coherent two-dimensional motion layers is a powerful method for representing videos. Such a representation provides an intermediate description that e...
Hai Tao, Harpreet S. Sawhney, Rakesh Kumar