@inproceedings{983a3fe2fa034e488a1a4acbc1b3ac70,
title = "Using efficient visual exploration techniques to evaluate features for content-based image retrieval",
abstract = "We present a novel visual approach to evaluate, in a fast and effective way, the development of new image feature extraction techniques concerning content-based image retrieval. This new approach takes advantage of an interactive 3-dimensional visualization fed by the image features obtained through a given extraction technique under analysis. Using controlled test image datasets, the researcher can literally {"}see{"} the discrimination power of the image features. This new approach gives a very good insight of the behavior of a given image feature extractor algorithm, which are confirmed by the well-known precision and recall measurements. We applied the visual approach proposed onto a wavelet-based image retrieval system, which is supporting the development of a Picture Archiving and Communication System that allows one to retrieve images by content.",
keywords = "Biomedical imaging, Content based retrieval, Feature extraction, Humans, Image retrieval, Indexing, Information retrieval, Medical diagnostic imaging, Picture archiving and communication systems, Testing",
author = "Rodrigues, {J. F.} and Casta{\~n}{\'o}n, {C. A.B.} and C. Traina and Traina, {A. J.M.}",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 16th Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2003 ; Conference date: 12-10-2003 Through 15-10-2003",
year = "2003",
doi = "10.1109/SIBGRA.2003.1241007",
language = "English",
series = "Brazilian Symposium of Computer Graphic and Image Processing",
publisher = "IEEE Computer Society",
pages = "183--190",
editor = "{de Oliveira}, {Maria Cristina Ferreira} and Cesar, {Roberto Marcondes}",
booktitle = "Proceedings - 16th Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2003",
}