Matching search in fractal video compression and its parallel implementation in distributed computing environments |
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Authors: | Meiqing Wang Zhehuang Huang Choi-Hong Lai |
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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 |
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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. |
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Keywords: | Fractal video compression Distributed computing Parallel algorithm Local area network DCOM NET Remoting |
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