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CLEF
2011
Springer
14 years 1 months ago
Evaluating Some Contextual Factors for Image Retrieval - ReDCAD Participation at ImageCLEF Wikipedia 2011
Our participation in the ImageCLEF Wikipedia retrieval task aims to study the efficiency of using two contextual factors in image retrieval: metadata which contains specific infor...
Hatem Awadi, Mouna Torjmen Khemakhem, Maher Ben Je...
ICIP
2003
IEEE
15 years 7 months ago
Evaluating group-based relevance feedback for content-based image retrieval
We have been developing new relevance feedback algorithms for Content-based Image Retrieval (CBIR) that allow the user to achieve more flexible query. In conjunction with the new...
Munehiro Nakazato, Charlie K. Dagli, Thomas S. Hua...
114
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ICIP
2008
IEEE
16 years 3 months ago
Using a game to evaluate image retrieval, organization, and annotation
Methods of retrieving images that incorporate humangenerated metadata, such as keyword annotation and collaborative filtering, are less vulnerable to the semantic gap than content...
Liam M. Mayron, Oge Marques
133
Voted
CLEF
2006
Springer
15 years 5 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...
120
Voted
PR
2006
119views more  PR 2006»
15 years 1 months ago
Performance evaluation and optimization for content-based image retrieval
Performance evaluation of content-based image retrieval (CBIR) systems is an important but still unsolved problem. The reason for its importance is that only performance evaluatio...
Julia Vogel, Bernt Schiele