Toward cross-language and cross-media image retrieval

Authors:
Carmen Alvarez;Ahmed Id Oumohmed;Max Mignotte;Jian-Yun Nie
Affiliations:
DIRO, University of Montreal, Montreal, Quebec, Canada;DIRO, University of Montreal, Montreal, Quebec, Canada;DIRO, University of Montreal, Montreal, Quebec, Canada;DIRO, University of Montreal, Montreal, Quebec, Canada
Venue:
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Year:
2004

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Abstract

This paper describes our approach used in ImageCLEF 2004. Our focus is on image retrieval using text, i.e. Cross-Media IR. To do this, we first determine the strong relationships between keywords and types of visual features such as texture or shape. Then, the subset of images retrieved by text retrieval are used as examples to match other images according to the most important types of features of the query words.