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» Stochastic Texture Image Retrieval and Similarity Matching
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ICPR
2000
IEEE
15 years 10 months ago
Optimal Color Composition Matching of Images
Color features are among the most important features used in image database retrieval, especially in cases where no additional semantic information is available. Due to its compac...
Jianying Hu, Aleksandra Mojsilovic
ENGL
2007
168views more  ENGL 2007»
14 years 9 months ago
A Novel Star Field Approach for Shape Indexing in CBIR Systems
—This paper presents a novel hybrid method for content based visual information retrieval (CBIR) that combines shape analysis of objects in image with their automatic indexing by...
Oleg Starostenko, Alberto Chávez-Arag&oacut...
CVPR
2006
IEEE
15 years 3 months ago
Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs
We introduce the term cosegmentation which denotes the task of segmenting simultaneously the common parts of an image pair. A generative model for cosegmentation is presented. Inf...
Carsten Rother, Thomas P. Minka, Andrew Blake, Vla...
SIGIR
2003
ACM
15 years 3 months ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
14 years 8 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...