Qualitative Characterization of Dynamic Textures for Video Retrieval

نویسندگان

  • Renaud Péteri
  • Dmitry Chetverikov
چکیده

A new issue in texture analysis is its extension to temporal domain, known as dynamic texture. Many real-world textures are dynamic textures whose retrieval from a video database should be based on both dynamic and static features. In this article, a method for extracting features revealing fundamental properties of dynamic textures is presented. Their interpretation enables qualitative requests when browsing videos. Future work is finally exposed.

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تاریخ انتشار 2004