This paper presents a technique to detect instances of classes (objects) according to their semantic definition in the form of a description graph. Classes are defined as combinations of instances of lower level semantic classes and allow the definition of a semantic tree that organizes classes in semantic levels. At the bottom level of the semantic tree, classes are defined by a perceptual model containing a list of low-level descriptors. The proposed detection algorithm follows a bottom-up/top-down approach, building semantic trees on a region-based representation of the media. The flexibility of the approach is assessed on different examples of planar objects, such as frontal faces, groups of islands, flags and traffic signs.


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    Title :

    Detection of semantic objects using description graphs


    Contributors:
    Giro, X. (author) / Marques, F. (author)


    Publication date :

    2005-01-01


    Size :

    320579 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Detection of Semantic Objects using Description Graphs

    Giro, X. / Marques, F. | British Library Conference Proceedings | 2005


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