Improving the Image Retrieval System by Ranking

This publication doesn't include Faculty of Arts. It includes Faculty of Informatics. Official publication website can be found on muni.cz.

Authors

BUDÍKOVÁ Petra BATKO Michal ZEZULA Pavel

Type Article in Proceedings
Conference 3rd International Conference on Similarity Search and Applications (SISAP 2010)
MU Faculty or unit

Faculty of Informatics

Citation
Field Informatics
Keywords image retrieval system; ranking; relevance-feedback
Description This demonstration paper presents an image retrieval system that allows to bridge the semantic gap by combining visual and text ranking on a large collection of 8 million images. We present several ranking methods including user relevance feedback. The demonstration is available as online web application.
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