Qualitative comparison of audio and visual descriptors distributions

Abstract

A comparative study of distributions and properties of datasets representing public domain audio and visual content is presented. The criteria adopted in this study incorporate the analysis of the pairwise distance distribution histograms and estimation of intrinsic dimensionality. In order to better understand the results, auxiliary datasets have been also considered and analyzed. The results of this study provide a solid ground for further research using the presented datasets such as their indexability with index structures.