4.5 Article

DynTex: A comprehensive database of dynamic textures

期刊

PATTERN RECOGNITION LETTERS
卷 31, 期 12, 页码 1627-1632

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ELSEVIER
DOI: 10.1016/j.patrec.2010.05.009

关键词

Dynamic texture; Scientific image collections; Video segmentation; Video processing; Pattern recognition; Annotation

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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. (C) 2010 Elsevier B.V. All rights reserved.

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