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CVPR
2008
IEEE
13 years 11 months ago
Loose shape model for discriminative learning of object categories
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Margarita Osadchy, Elran Morash
CVPR
2007
IEEE
14 years 11 months ago
An Exemplar Model for Learning Object Classes
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...
Ondrej Chum, Andrew Zisserman
ICIAP
2009
ACM
14 years 9 months ago
Estimation of Object Position Based on Color and Shape Contextual Information
This paper presents a method to estimate the position of object using contextual information. Although convention methods used only shape contextual information, color contextual i...
Takashi Ishihara, Kazuhiro Hotta, Haruhisa Takahas...
MM
2010
ACM
238views Multimedia» more  MM 2010»
13 years 9 months ago
Supervised manifold learning for image and video classification
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
Yang Liu, Yan Liu, Keith C. C. Chan
CIVR
2005
Springer
147views Image Analysis» more  CIVR 2005»
14 years 2 months ago
A Comparison of Score, Rank and Probability-Based Fusion Methods for Video Shot Retrieval
It is now accepted that the most e ective video shot retrieval is based on indexing and retrieving clips using multiple, parallel modalities such as text-matching, image-matching a...
Kieran McDonald, Alan F. Smeaton