An evolution computation based approach to synthesize video texture

  • Authors:
  • Yu Meng;Wen-hui Li;Yan Wang;Wu Guo;Wei Pang

  • Affiliations:
  • College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, P.R.China;College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, P.R.China;College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, P.R.China;College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, P.R.China;College of Computer Science and Technology, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, P.R.China

  • Venue:
  • ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II
  • Year:
  • 2006

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Abstract

Texture synthesis is one of the hottest areas in computer graphics, computer vision and image processing fields, and video texture synthesis is one subset of it. We bring forward a new method on video texture synthesis, in which evolution computing technique is introduced into the processes of synthesizing videos. In the method, by analyzing and processing a finite source video clip, Infinite video sequences obtained can be played smoothly in vision. Comparing with many existing video texture synthesis algorithms, this method can not only get high-quality video results without complicated pre-processing of source video, but also improve the efficiency of synthesis.