Interactive Exploration for Image Retrieval

Autor: Jérôme Fournier, Philippe-Henri Gosselin, Sylvie Philipp-Foliguet, Matthieu Cord
Jazyk: angličtina
Rok vydání: 2005
Předmět:
Zdroj: EURASIP Journal on Advances in Signal Processing, Vol 2005, Iss 14, Pp 2173-2186 (2005)
Druh dokumentu: article
ISSN: 1687-6172
1687-6180
DOI: 10.1155/ASP.2005.2173
Popis: We present a new version of our content-based image retrieval system RETIN. It is based on adaptive quantization of the color space, together with new features aiming at representing the spatial relationship between colors. Color analysis is also extended to texture. Using these powerful indexes, an original interactive retrieval strategy is introduced. The process is based on two steps for handling the retrieval of very large image categories. First, a controlled exploration method of the database is presented. Second, a relevance feedback method based on statistical learning is proposed. All the steps are evaluated by experiments on a generalist database.
Databáze: Directory of Open Access Journals
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