Content-Based Image Retrieval over the Web Using Query by Sketch and Relevance Feedback

Authors:
Eugenio Di Sciascio;G. Mingolla;Marina Mongiello
Affiliations:
-;-;-
Venue:
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Year:
1999

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Abstract

This paper investigates the combined use of query by sketch and relevance feedback as techniques to ease user interaction and improve retrieval effectiveness in content-based image retrieval over the World Wide Web. To substantiate our ideas we implemented DrawSearch, a prototype image retrieval by content system that uses color, shape and texture to index and retrieve images. The system avails of Java applets for query by sketch and uses relevance feedback to allow users dynamically refine queries.