DynTex: A comprehensive database of dynamic textures 论文
2010Pattern Recognition Letters引用 328
Video Analysis and SummarizationMusic and Audio ProcessingGenerative Adversarial Networks and Image Synthesis
摘要
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.