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» Boosting Image Retrieval
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ICIP
2000
IEEE
16 years 8 months ago
A Hierarchical Characterization Scheme for Image Retrieval
* In this paper, we present a study of hierarchically characterizing image content from coarse level to fine level conducted using a series of shape features as a case in point. I...
Liu Wenyin, Tao Wang, HongJiang Zhang
CLEF
2005
Springer
16 years 16 hour ago
A Corpus-Based Relevance Feedback Approach to Cross-Language Image Retrieval
This paper regards images with captions as a cross-media parallel corpus, and presents a corpus-based relevance feedback approach to combine the results of visual and textual runs....
Yih-Chen Chang, Wen-Cheng Lin, Hsin-Hsi Chen
CLEF
2004
Springer
15 years 12 months ago
Medical Image Retrieval Using Texture, Locality and Colour
We describe our experiments for the Image CLEF medical retrieval task. Our efforts were focused on the initial visual search. A content based approach was followed. We used textur...
Peter Howarth, Alexei Yavlinsky, Daniel Heesch, St...
KES
2004
Springer
15 years 12 months ago
Content-Based Image Retrieval Using Multiple Representations
Many different approaches for content-based image retrieval have been proposed in the literature. Successful approaches consider not only simple features like color, but also take ...
Karin Kailing, Hans-Peter Kriegel, Stefan Schö...
VISUAL
1999
Springer
15 years 10 months ago
Relevance Feedback and Term Weighting Schemes for Content-Based Image Retrieval
This paper describes the application of techniques derived from text retrieval research to the content-based querying of image databases. Speci cally, the use of inverted les, fre...
David Squire, Wolfgang Müller 0002, Henning M...