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» Boosting Image Retrieval
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APWEB
2003
Springer
15 years 6 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
115
Voted
CVPR
2004
IEEE
15 years 4 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
85
Voted
ESWA
2008
127views more  ESWA 2008»
15 years 23 days 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...
122
Voted
ISM
2005
IEEE
128views Multimedia» more  ISM 2005»
15 years 6 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
124
Voted
SSPR
1998
Springer
15 years 4 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