Contributions to Books:

H. Eidenberger:
"Distance measures for MPEG-7-based retrieval";
in: "ACM Multimedia Information Retrieval Workshop", ACM Press, 2003, ISBN: 1581137222.

English 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.

MPEG-7, Distance Measurement, VizIR

Online library catalogue of the TU Vienna:

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.