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» VQ Based Image Retrieval Using Color and Position Features
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ESWA
2008
127views more  ESWA 2008»
13 years 7 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
VISUAL
1999
Springer
13 years 11 months ago
Blobworld: A System for Region-Based Image Indexing and Retrieval
Blobworld is a system for image retrieval based on nding coherent image regions which roughly correspond to objects. Each image is automatically segmented into regions  blobs"...
Chad Carson, Megan Thomas, Serge Belongie, Joseph ...
ICIAR
2007
Springer
14 years 1 months ago
Image Retrieval Using Transaction-Based and SVM-Based Learning in Relevance Feedback Sessions
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
Xiaojun Qi, Ran Chang
MIR
2010
ACM
325views Multimedia» more  MIR 2010»
13 years 9 months ago
A classification-driven similarity matching framework for retrieval of biomedical images
This paper presents a classification-driven biomedical image retrieval system to bride the semantic gap by transforming image features to their global categories at different gran...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...
ICIP
2003
IEEE
14 years 9 months ago
An ontology approach to object-based image retrieval
In this paper, an image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segme...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...