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» A Probability Model for Image Annotation
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CVPR
2009
IEEE
16 years 8 months ago
Topology Dictionary with Markov Model for 3D Video Content-Based Skimming and Description
This paper presents a novel approach to skim and describe 3D videos. 3D video is an imaging technology which consists in a stream of 3D models in motion captured by a synchronized ...
Tony Tung (Kyoto University), Takashi Matsuyama (K...
87
Voted
ICCV
2005
IEEE
16 years 3 months ago
Avoiding the "Streetlight Effect": Tracking by Exploring Likelihood Modes
Classic methods for Bayesian inference effectively constrain search to lie within regions of significant probability of the temporal prior. This is efficient with an accurate dyna...
David Demirdjian, Leonid Taycher, Gregory Shakhnar...
130
Voted
CVPR
2003
IEEE
15 years 7 months ago
Bayesian Human Segmentation in Crowded Situations
Problem of segmenting individual humans in crowded situations from stationary video camera sequences is exacerbated by object inter-occlusion. We pose this problem as a “model-b...
Tao Zhao, Ramakant Nevatia
121
Voted
CVPR
2008
IEEE
16 years 3 months ago
Extracting a fluid dynamic texture and the background from video
Given the video of a still background occluded by a fluid dynamic texture (FDT), this paper addresses the problem of separating the video sequence into its two constituent layers....
Bernard Ghanem, Narendra Ahuja
CLEF
2007
Springer
15 years 8 months ago
Multiplying Concept Sources for Graph Modeling
This paper presents the LIG contribution to the CLEF 2007 medical retrieval task (i.e. ImageCLEFmed). The main idea in this paper is to incorporate medical knowledge in the langua...
Loïc Maisonnasse, Éric Gaussier, Jean-...