@InProceedings{PedronetteTorr:2010:DiCoRe,
author = "Pedronette, Daniel Carlos Guimar{\~a}es and Torres, Ricardo da
S.",
affiliation = "{RECOD Lab - Institute of Computing - University of Campinas} and
{RECOD Lab - Institute of Computing - University of Campinas}",
title = "Distances Correlation for Re-Ranking in Content-Based Image
Retrieval",
booktitle = "Proceedings...",
year = "2010",
editor = "Bellon, Olga and Esperan{\c{c}}a, Claudio",
organization = "Conference on Graphics, Patterns and Images, 23. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "content-based image retrieval, re-ranking, distance optimization,
clustering.",
abstract = "Content-based image retrieval relies on the use of efficient and
effective image descriptors. One of the most important components
of an image descriptor is concerned with the distance function
used to measure how similar two images are. This paper presents a
clustering approach based on distances correlation for computing
the similarity among images. Conducted experiments involving
shape, color, and texture descriptors demonstrate the
effectiveness of our method.",
conference-location = "Gramado, RS, Brazil",
conference-year = "30 Aug.-3 Sep. 2010",
doi = "10.1109/SIBGRAPI.2010.9",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2010.9",
language = "en",
ibi = "8JMKD3MGPBW34M/388B8GS",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/388B8GS",
targetfile = "SIBGRAPFinal_PDFExpress.pdf",
urlaccessdate = "2024, Apr. 27"
}