| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 536066 | Pattern Recognition Letters | 2010 | 6 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Renaud Péteri, Sándor Fazekas, Mark J. Huiskes,