Eva tool

An Evaluation Tool for Comparing Descriptors in Content-Based Image Retrieval Tasks

Warning: This tool was created during my Masters studies, from 2007 to 2009. Therefore, it may be technologically obsolete. I just moved the code from my personal webpage to this GitHub repository. Feel free to use and update it.

Eva is 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.

The details about Eva are given in the paper published in the ACM International Conference on Multimedia Information Retrieval (MIR), 2010.

Examples of experiments:

(visualization interface)

• Paris
• Yahoo230k
• Base600
• Caltech-101

Please cite as:

O. A. B. Penatti and R. da S. Torres, Eva - An Evaluation Tool for Comparing Descriptors in Content-based Image Retrieval Tasks In: 11th ACM International Conference on Multimedia Information Retrieval (MIR), p. 413-416, 2010.

Bibtex:

@InProceedings{PenattiEvaMIR2010,
    author = {Penatti, O. A. B. and Torres, R. da S.},
    title = {Eva - an Evaluation Tool for Comparing Descriptors in Content-Based Image Retrieval Tasks},
    booktitle = {International Conference on Multimedia Information Retrieval},
    pages = {413--416},
    year = {2010},
}