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ICDE
2006
IEEE
191views Database» more  ICDE 2006»
14 years 8 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu
MMSP
2008
IEEE
204views Multimedia» more  MMSP 2008»
14 years 1 months ago
Color restoration for objects of interest using robust image features
—Illumination distortion due to uncontrolled lighting can severely degrade the color appearance of a photo. Frequently, the desired colors for objects in a newly taken query imag...
David M. Chen, Vijay Chandrasekhar, Gabriel Takacs...
MM
2006
ACM
250views Multimedia» more  MM 2006»
14 years 1 months ago
Effective and efficient object-based image retrieval using visual phrases
In this paper, we draw an analogy between image retrieval and text retrieval and propose a visual phrase-based approach to retrieve images containing desired objects. The visual p...
Qing-Fang Zheng, Wei-Qiang Wang, Wen Gao
WWW
2003
ACM
14 years 8 months ago
Bridging the P2P and WWW Divide with DISCOVIR - DIStributed COntent-based Visual Information Retrieval
In the light of image retrieval evolving from text annotation to content-based and from standalone applications to web-based search engines, we foresee the need for deploying cont...
Ka Cheung Sia, Cheuk Hang Ng, Chi-Hang Chan
SIGIR
2008
ACM
13 years 7 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang