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» A model for image patch-based algorithms
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CVPR
2009
IEEE
16 years 11 months ago
Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and segments each object component, as well as annotates the image with ...
Fei-Fei Li 0002, Li-Jia Li, Richard Socher
CAE
2007
15 years 6 months ago
Liquid Penetration Modeling for Cloth Dyeing
This paper presents a model of cloth dyeing using the characteristics of the thread and weave pattern. The proposed dyeing model is based on Fick's second law that defines th...
Yuki Morimoto, Reiji Tsuruno, Kiyoshi Tomimatsu
159
Voted
ICIG
2009
IEEE
15 years 1 months ago
Statistical Modeling of Optical Flow
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Dongmin Ma, Véronique Prinet, Cyril Cassisa
148
Voted
ICIP
2008
IEEE
16 years 5 months ago
Variational Bayesian image processing on stochastic factor graphs
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
Xin Li
125
Voted
MM
2010
ACM
174views Multimedia» more  MM 2010»
15 years 4 months ago
Image classification using the web graph
Image classification is a well-studied and hard problem in computer vision. We extend a proven solution for classifying web spam to handle images. We exploit the link structure of...
Dhruv Kumar Mahajan, Malcolm Slaney