High-level clothes description based on colour-texture and structural features

Agnés Borràs, Francesc Tous, Josep Lladós, Maria Vanrell

    Research output: Contribution to journalReview articleResearchpeer-review

    16 Citations (Scopus)


    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. Finally, we have tested the process with a ground-truth of one hundred images. © Springer-Verlag Berlin Heidelberg 2003.
    Original languageEnglish
    Pages (from-to)108-116
    JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Publication statusPublished - 1 Dec 2003


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