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» Boosting Image Retrieval
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89
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ICPR
2008
IEEE
15 years 7 months ago
Interactive feature visualization for image retrieval
Most systems for content based image retrieval (CBIR) employ low level image features as a similarity measure. The problem of CBIR systems is that they are a “black box” to th...
Johannes Imo, Sebastian Klenk, Gunther Heidemann
BMVC
2002
15 years 3 months ago
Component-based LDA Face Descriptor for Image Retrieval
We present a component-based face descriptor with LDA (Linear Discriminant Analysis) and a simple pose classification. Our algorithm has been developed to deal with face image ret...
Tae-Kyun Kim, Hyunwoo Kim, Wonjun Hwang, Seok-Cheo...
CLEF
2009
Springer
14 years 10 months ago
Overview of the CLEF 2009 Medical Image Retrieval Track
2009 was the sixth year for the ImageCLEF medical retrieval task. Participation was strong again with 38 registered research groups. 17 groups submitted runs and thus participated...
Henning Müller, Jayashree Kalpathy-Cramer, Iv...
119
Voted
ICCV
2007
IEEE
16 years 2 months ago
Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
Hichem Sahbi, Jean-Yves Audibert, Renaud Keriven
101
Voted
ICPR
2010
IEEE
15 years 4 months ago
Efficient Semantic Indexing for Image Retrieval
Semantic analysis of a document collection can be viewed as an unsupervised clustering of the constituent words and documents around hidden or latent concepts. This has shown to i...
Chandrika Pulla, Suman Karthik, C. V. Jawahar