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» Boosting Image Retrieval
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APWEB
2003
Springer
14 years 4 months ago
Web-Based Image Retrieval with a Case Study
Abstract. Advances in content-based image retrieval(CBIR)lead to numerous efficient techniques for retrieving images based on their content features, such as colours, textures and ...
Ying Liu, Danqing Zhang
CVPR
2004
IEEE
14 years 2 months ago
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines
Relevance feedback approaches based on support vector machine (SVM) learning have been applied to significantly improve retrieval performance in content-based image retrieval (CBI...
Iker Gondra, Douglas R. Heisterkamp
ESWA
2008
127views more  ESWA 2008»
13 years 11 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...
ISM
2005
IEEE
128views Multimedia» more  ISM 2005»
14 years 4 months ago
Local Shape Association Based Retrieval of Infrared Satellite Images
— This paper presents a shape-based retrieval system and its application to infrared satellite images. A complete system is presented, from region extraction of a full hemisphere...
Aiyesha Ma, Ishwar K. Sethi
SSPR
1998
Springer
14 years 3 months ago
Semantic Content Based Image Retrieval Using Object-Process Diagrams
Abstract. The increase in accessability to on-line visual data has promoted the interest in browsing and retrieval of images from Image Databases. Current approaches assume either ...
Dov Dori, Hagit Zabrodsky Hel-Or