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Visual textures have played a key role in image understanding because they convey important semantics of images, and because texture representations that pool local image descriptors in an orderless manner have had a tremendous impact in diverse applications. In this paper we make several contributions to texture understanding. First, instead of focusing on texture instance and material category recognition, we propose a human-interpretable vocabulary of texture attributes to describe commondoi:10.1007/s11263-015-0872-3 pmid:27471340 pmcid:PMC4946812 fatcat:z7sz65gi5nevbgsh2tt3kzdnzi