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

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.

DOI: 10.1145/1743384.1743455

Extracted Key Phrases

6 Figures and Tables

Cite this paper

@inproceedings{Penatti2010EvaAE, title={Eva: an evaluation tool for comparing descriptors in content-based image retrieval tasks}, author={Ot{\'a}vio Augusto Bizetto Penatti and Ricardo da Silva Torres}, booktitle={Multimedia Information Retrieval}, year={2010} }