Region labelling using a point-based coherence criterion

Hichem Houissa; Nozha Boujemaa

doi:10.1117/12.650647

16 January 2006 Region labelling using a point-based coherence criterion

Hichem Houissa, Nozha Boujemaa

Proceedings Volume 6073, Multimedia Content Analysis, Management, and Retrieval 2006; 60730H (2006) https://doi.org/10.1117/12.650647
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

Query By Visual Example (QBVE) has been widely exploited in image retrieval. Global visual similarity as well as points of interest matching have proven their efficiency when example image/region is available. If starting image is missing, the Query By Visual Thesaurus (QBVT) paradigm offsets it by allowing the user to compose his mental query image through visual patches summarizing the region database. In this paper, we propose to enrich the paradigm of mental image search by constructing a reliable visual thesaurus of the regions provided by a new coherence criterion. Our criterion encapsulates the local distribution of detected points of interest within a region. It leads to semantic labelling of regions categories using points spatial topology. Our point-based criterion has been validated on a generic image database combining homogenous regions as well as irregularly and fully textured patterns.

Citation Download Citation

Hichem Houissa and Nozha Boujemaa "Region labelling using a point-based coherence criterion", Proc. SPIE 6073, Multimedia Content Analysis, Management, and Retrieval 2006, 60730H (16 January 2006); https://doi.org/10.1117/12.650647

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