%0 Book Section
%T High-Level Clothes Description Based on Color-Texture and Structural Features
%A Agnes Borras
%A Francesc Tous
%A Josep Llados
%A Maria Vanrell
%B Lecture Notes in Computer Science
%D 2003
%V 2652
%F Agnes Borras2003
%O DAG;CIC
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=368), last updated on Tue, 28 Jun 2011 17:11:16 +0200
%X This work is a part of a surveillance system where content- based image retrieval is done in terms of people appearance. Given an image of a person, our work provides an automatic description of his clothing according to the colour, texture and structural composition of its garments. We present a two-stage process composed by image segmentation and a region-based interpretation. We segment an image by modelling it due to an attributed graph and applying a hybrid method that follows a split-and-merge strategy. We propose the interpretation of five cloth combinations that are modelled in a graph structure in terms of region features. The interpretation is viewed as a graph matching with an associated cost between the segmentation and the cloth models. Fi- nally, we have tested the process with a ground-truth of one hundred images.
%U http://refbase.cvc.uab.es/files/BTL2003a.pdf
%P 108–116