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» Boosting Image Retrieval
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ICMCS
1998
IEEE
113views Multimedia» more  ICMCS 1998»
14 years 2 months ago
An Empirical Study of Color-Spatial Retrieval Techniques for Large Image Databases
In this paper, we present an experimental evaluation of three color-spatial retrieval techniques -- the signaturebased technique, the partition-based algorithm and the cluster-bas...
Chia Yeow Yee, Kian-Lee Tan, Tat-Seng Chua, Beng C...
ICIP
2010
IEEE
13 years 8 months ago
Image retrieval with feature selection and relevance feedback
This paper proposes a new content based image retrieval (CBIR) system combined with relevance feedback and the online feature selection procedures. A measure of inconsistency from...
Yu Sun, Bir Bhanu
CIVR
2004
Springer
250views Image Analysis» more  CIVR 2004»
14 years 3 months ago
Salient Regions for Query by Image Content
Abstract. Much previous work on image retrieval has used global features such as colour and texture to describe the content of the image. However, these global features are insuffi...
Jonathon S. Hare, Paul H. Lewis
IV
2000
IEEE
123views Visualization» more  IV 2000»
14 years 2 months ago
Content-Based Image Visualization
The proliferation of content-based image retrieval techniques has highlighted the need to understand the relationship between image clustering based on low-Ievel imagefeatures and...
Chaomei Chen, George Gagaudakis, Paul L. Rosin
CLEF
2006
Springer
14 years 2 months ago
Medical Image Annotation and Retrieval Using Visual Features
In this article, we present the algorithms and results of our participation in the medical image annotation and retrieval tasks of ImageCLEFmed 2006. We exploit both global featur...
Jing Liu, Yang Hu, Mingjing Li, Songde Ma, Wei-Yin...