DynTex: A comprehensive database of dynamic textures

作者: Renaud Péteri , Sándor Fazekas , Mark J. Huiskes

DOI: 10.1016/J.PATREC.2010.05.009

关键词:

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

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