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TSMC
2002
110views more  TSMC 2002»
15 years 4 months ago
Complexity reduction for "large image" processing
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
Nikhil R. Pal, James C. Bezdek
PAMI
2007
187views more  PAMI 2007»
15 years 4 months ago
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
—A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as...
Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno,...
ICIP
2010
IEEE
15 years 2 months ago
Affine-invariant modeling of shape-appearance images applied on sign language handshape classification
We propose a novel affine-invariant modeling of hand shapeappearance images, which offers a compact and descriptive representation of the hand configurations. Our approach combine...
Anastasios Roussos, Stavros Theodorakis, Vassilis ...
TOG
2010
121views more  TOG 2010»
14 years 11 months ago
Data-driven image color theme enhancement
It is often important for designers and photographers to convey or enhance desired color themes in their work. A color theme is typically defined as a template of colors and an as...
Baoyuan Wang, Yizhou Yu, Tien-Tsin Wong, Chun Chen...
CVPR
2005
IEEE
16 years 6 months ago
A Sparse Support Vector Machine Approach to Region-Based Image Categorization
Automatic image categorization using low-level features is a challenging research topic in computer vision. In this paper, we formulate the image categorization problem as a multi...
Jinbo Bi, Yixin Chen, James Ze Wang