@Article{SusanaAlvarez2012,
author="Susana Alvarez
and Anna Salvatella
and Maria Vanrell
and Xavier Otazu",
title="Low-dimensional and Comprehensive Color Texture Description",
journal="Computer Vision and Image Understanding",
year="2012",
volume="116",
number="I",
pages="54--67",
abstract="Image retrieval can be dealt by combining standard descriptors, such as those of MPEG-7, which are defined independently for each visual cue (e.g. SCD or CLD for Color, HTD for texture or EHD for edges).A common problem is to combine similarities coming from descriptors representing different concepts in different spaces. In this paper we propose a color texture description that bypasses this problem from its inherent definition. It is based on a low dimensional space with 6 perceptual axes. Texture is described in a 3D space derived from a direct implementation of the original Julesz{\textquoteright}s Texton theory and color is described in a 3D perceptual space. This early fusion through the blob concept in these two bounded spaces avoids the problem and allows us to derive a sparse color-texture descriptor that achieves similar performance compared to MPEG-7 in image retrieval. Moreover, our descriptor presents comprehensive qualities since it can also be applied either in segmentation or browsing: (a) a dense image representation is defined from the descriptor showing a reasonable performance in locating texture patterns included in complex images; and (b) a vocabulary of basic terms is derived to build an intermediate level descriptor in natural language improving browsing by bridging semantic gap",
optnote="CAT;CIC",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1827), last updated on Wed, 09 Jan 2013 13:05:30 +0100",
issn="1077-3142",
doi="10.1016/j.cviu.2011.08.004",
opturl="http://www.sciencedirect.com/science/article/pii/S107731421100186X",
file=":http://refbase.cvc.uab.es/files/ASV2012.pdf:PDF"
}