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Matching search in fractal video compression and its parallel implementation in distributed computing environments
Authors:Meiqing Wang  Zhehuang Huang  Choi-Hong Lai
Institution:1. College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350002, China;2. School of Computing and Mathematical Sciences, University of Greenwich, Old Royal Naval College, Park Row, Greenwich, London SE10 9LS, UK
Abstract:Fractal video compression is a relatively new video compression method. Its attraction is due to the high compression ratio and the simple decompression algorithm. But its computational complexity is high and as a result parallel algorithms on high performance machines become one way out. In this study we partition the matching search, which occupies the majority of the work in a fractal video compression process, into small tasks and implement them in two distributed computing environments, one using DCOM and the other using .NET Remoting technology, based on a local area network consists of loosely coupled PCs. Experimental results show that the parallel algorithm is able to achieve a high speedup in these distributed environments.
Keywords:Fractal video compression  Distributed computing  Parallel algorithm  Local area network  DCOM    NET Remoting
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