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» Thinking of a System for Image Retrieval
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ICCV
2007
IEEE
14 years 9 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
MVA
2000
203views Computer Vision» more  MVA 2000»
13 years 9 months ago
An Environment to Test Progressive Refinement of Indexing for Content-Based Image Retrieval
Content-based image retrieval is a fairly new discipline. Yet research in this field has highlighted many approaches that show good performance in specific subproblems using singl...
Maria Grazia Albanesi, Marco Ferretti, Alessandro ...
VLC
2008
178views more  VLC 2008»
13 years 7 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...
DAS
2008
Springer
13 years 9 months ago
Document Image Retrieval to Support Reading Mokkans
This paper presents a design and an implementation of document image retrieval to support reading mokkans. A mokkan is a wooden tablet with text written by a brush in India ink. D...
Akihito Kitadai, Jun Takakura, Masatoshi Ishikawa,...
IPMU
2010
Springer
13 years 6 months ago
Retrieving Texture Images Using Coarseness Fuzzy Partitions
Abstract. In this paper, a Fuzzy Dominant Texture Descriptor is proposed for semantically describing an image. This fuzzy descriptor is defined over a set of fuzzy sets modelling ...
Jesús Chamorro-Martínez, Pedro Manue...