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.
Keywords
- Video Sequence
- Texture Synthesis
- Video Object
- Source Video
- Segment Population
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Wen-hui, L., Yu, M., Zhen-hua, Z., Dong-fei, L., Jian-yuan, W. (2006). A Fast Temporal Texture Synthesis Algorithm Using Segment Genetic Algorithm. In: Esposito, F., Raś, Z.W., Malerba, D., Semeraro, G. (eds) Foundations of Intelligent Systems. ISMIS 2006. Lecture Notes in Computer Science(), vol 4203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11875604_9
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DOI: https://doi.org/10.1007/11875604_9
Publisher Name: Springer, Berlin, Heidelberg
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