Distance measures for MPEG-7-based retrieval

Authors:
Horst Eidenberger
Affiliations:
Vienna University of Technology, Vienna, Austria
Venue:
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Year:
2003

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Abstract

In visual information retrieval the careful choice of suitable proximity measures is a crucial success factor. The evaluation presented in this paper aims at showing that the distance measures suggested by the MPEG-7 group for the visual descriptors can be beaten by general-purpose measures. Eight visual MPEG-7 descriptors were selected and 38 distance measures implemented. Three media collections were created and assessed, performance indicators developed and more than 22500 tests performed. Additionally, a quantisation model was developed to be able to use predicate-based distance measures on continuous data as well. The evaluation shows that the distance measures recommended in the MPEG-7-standard are among the best but that other measures perform even better.