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» Textural Features and Relevance Feedback for Image Retrieval
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CLEF
2007
Springer
15 years 5 months ago
Using Pseudo-Relevance Feedback to Improve Image Retrieval Results
In this paper, we propose a pseudo-relevance feedback method to deal with the photographic retrieval and medical retrieval tasks of ImageCLEF 2007. The aim of our participation to...
Mouna Torjmen, Karen Pinel-Sauvagnat, Mohand Bough...
MM
2004
ACM
129views Multimedia» more  MM 2004»
15 years 5 months ago
A novel log-based relevance feedback technique in content-based image retrieval
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
Chu-Hong Hoi, Michael R. Lyu
ICIP
2001
IEEE
16 years 1 months ago
VISMap: an interactive image/video retrieval system using visualization and concept maps
Images and videos can be indexed by multiple features at different levels, such as color, texture, motion, and text annotation. Organizing this information into a system so that u...
William Chen, Shih-Fu Chang
ICASSP
2007
IEEE
15 years 6 months ago
Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
Jie Yu, Yijuan Lu, Yuning Xu, Nicu Sebe, Qi Tian
MIR
2005
ACM
176views Multimedia» more  MIR 2005»
15 years 5 months ago
Hybrid visual and conceptual image representation within active relevance feedback context
Many of the available image databases have keyword annotations associated with the images. In spite of the availability of good quality low-level visual features that reflect wel...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu