Eva: an evaluation tool for comparing descriptors in content-based image retrieval tasks

Authors:
Otávio A.B. Penatti;Ricardo da S. Torres
Affiliations:
University of Campinas, Campinas, Brazil;University of Campinas, Campinas, Brazil
Venue:
Proceedings of the international conference on Multimedia information retrieval
Year:
2010

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Abstract

This paper presents Eva, a tool for evaluating image descriptors for content-based image retrieval. Eva integrates the most common stages of an image retrieval process and provides functionalities to facilitate the comparison of image descriptors in the context of content-based image retrieval. Eva supports the management of image descriptors and image collections and creates a standardized environment to run comparative experiments using them.