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» Evaluation strategies for image understanding and retrieval
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MIR
2005
ACM
138views Multimedia» more  MIR 2005»
13 years 10 months ago
Evaluation strategies for image understanding and retrieval
We address evaluation of image understanding and retrieval large scale image data in the context of three evaluation projects. The first project is a comprehensive strategy for e...
Keiji Yanai, Nikhil V. Shirahatti, Prasad Gabbur, ...
CLEF
2007
Springer
13 years 11 months ago
MIRACLE at ImageCLEFphoto 2007: Evaluation of Merging Strategies for Multilingual and Multimedia Information Retrieval
This paper describes the participation of MIRACLE research consortium at the ImageCLEF Photographic Retrieval task of ImageCLEF 2007. For this campaign, the main purpose of our ex...
Julio Villena-Román, Sara Lana-Serrano, Jos...
VLC
2008
178views more  VLC 2008»
13 years 4 months ago
An exploration of diversified user strategies for image retrieval with relevance feedback
Given the difficulty of setting up large-scale experiments with real users, the comparison of content-based image retrieval methods using relevance feedback usually relies on the ...
Michel Crucianu, Jean-Philippe Tarel, Marin Fereca...
MVA
1996
109views Computer Vision» more  MVA 1996»
13 years 6 months ago
Image Features Based on a Mixed Fractal Model and Evaluation of Their Effectiveness in Image Retrieval
Many research works on content-based image retrieval have made use of image features. On the other hand, many kinds of image features have also been developed in the research fiel...
Toshinori Hayashi, Yuzuru Tanaka
IBPRIA
2005
Springer
13 years 10 months ago
A Learning Framework for Object Recognition on Image Understanding
Abstract. In this paper an object learning system for image understanding is proposed. The knowledge acquisition system is designed as a supervised learning task, which emphasises ...
Xavier Muñoz, Anna Bosch, Joan Martí...