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.
['Otávio Augusto Bizetto Penatti', 'Ricardo da Silva Torres']
Eva: an evaluation tool for comparing descriptors in content-based image retrieval tasks