A fast temporal texture synthesis algorithm using segment genetic algorithm

Authors:
Li Wen-hui;Meng Yu;Zhang Zhen-hua;Liu Dong-fei;Wang Jian-yuan
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:
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Year:
2006

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Abstract

Texture synthesis is a very active research area in computer vision and graphics, and temporal texture synthesis is one subset of it. We present a new temporal texture synthesis algorithm, in which a segment genetic algorithm is introduced into the processes of synthesizing videos. In the algorithm, by analyzing and processing a finite source video clip, Infinite video sequences that are played smoothly in vision can be obtained. Comparing with many temporal texture synthesis algorithms nowadays, this algorithm can get high-quality video results without complicated pre-processing of source video while it improves the efficiency of synthesis. It is analyzed in this paper that how the population size and the Max number of generations influence the speed and quality of synthesis.