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» Quantifying Contextual Information for Object Detection
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ICCV
2001
IEEE
14 years 10 months ago
Statistical Context Priming for Object Detection
There is general consensus that context can be a rich source of information about an object's identity, location and scale. However, the issue of how to formalize contextual ...
Antonio B. Torralba, Pawan Sinha
MVA
2000
166views Computer Vision» more  MVA 2000»
13 years 10 months ago
Motion Segmentation and Tracking by Embedding Global Model Within a Contextual Relaxation Scheme
IAPR Workshop on Machine Vision and Applications, pp. 455-458, 2000, Tokyo, Japan In this paper, we integrate the model-based tracking and local contexture (temporal and spatial) ...
Yunqiang Chen, Thomas S. Huang
TIT
2010
122views Education» more  TIT 2010»
13 years 3 months ago
Biological information as set-based complexity
The significant and meaningful fraction of all the potential information residing in the molecules and structures of living systems is unknown. Sets of random molecular sequences o...
David J. Galas, Matti Nykter, Gregory W. Carter, N...
ICMCS
2010
IEEE
149views Multimedia» more  ICMCS 2010»
13 years 8 months ago
Single-view recaptured image detection based on physics-based features
In daily life, we can see images of real-life objects on posters, television, or virtually any type of smooth physical surfaces. We seldom confuse these images with the objects pe...
Xinting Gao, Tian-Tsong Ng, Bo Qiu, Shih-Fu Chang
CVPR
2007
IEEE
14 years 10 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher