DynTex: A comprehensive database of dynamic textures

  • Authors:
  • Renaud Péteri;Sándor Fazekas;Mark J. Huiskes

  • Affiliations:
  • Mathematics, Image and Applications Laboratory (MIA), University of La Rochelle, avenue Michel Crépeau, 17000 La Rochelle, France;MTA SZTAKI - Hungarian Academy of Sciences, 1111 Budapest, Kende u. 13-17, Hungary;Leiden Institute of Advanced Computer Science (LIACS), Niels Bohrweg 1, 2333 CA Leiden, The Netherlands

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2010

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Abstract

We present the DynTex database of high-quality dynamic texture videos. It consists of over 650 sequences of dynamic textures, mostly in everyday surroundings. Additionally, we propose a scheme for the manual annotation of the sequences based on a detailed analysis of the physical processes underlying the dynamic textures. Using this scheme we describe the texture sequences in terms of both visual structure and semantic content. The videos and annotations are made publicly available for scientific research.