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Statistical analysis of content-based MPEG-7 descriptors for image retrieval

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Abstract.

The study presented in this paper analyses the visual MPEG-7 descriptors from a statistical point of view. A statistical analysis is able to reveal the properties and qualities of the used descriptors: redundancies, sensitivity to media content, etc. These aspects were not considered in the MPEG-7 design process where the major goal was optimising the retrieval rate. For the statistical analysis eight basic visual descriptors were applied to three media collections: the Brodatz dataset, a selection of the Corel photo dataset and a set of coats-of-arms images. The resulting feature vectors were analysed with four statistical methods: mean and variance of description elements, distribution of elements, cluster analysis (hierarchical and topological) and factor analysis. The analysis revealed that, for example, most MPEG-7 descriptions are highly redundant and sensitive to the presence of colour shades.

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Authors and Affiliations

  1. Institute of Software Technology and Interactive Systems, Interactive Media Systems Group, Vienna University of Technology, Favoritenstrasse 9-11, 1040, Vienna, Austria

    Horst Eidenberger

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  1. Horst Eidenberger
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Correspondence to Horst Eidenberger.

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Published online: 6 October 2004

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Eidenberger, H. Statistical analysis of content-based MPEG-7 descriptors for image retrieval. Multimedia Systems 10, 84–97 (2004). https://doi.org/10.1007/s00530-004-0141-8

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  • DOI: https://doi.org/10.1007/s00530-004-0141-8

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