Matching search in fractal video compression and its parallel implementation in distributed computing environments
Wang, Meiqing, Huang, Zhehuang and Lai, Choi-Hong ORCID: 0000-0002-7558-6398 (2005) Matching search in fractal video compression and its parallel implementation in distributed computing environments. Applied Mathematical Modelling, 30 (8). pp. 677-687. ISSN 0307-904X (doi:https://doi.org/10.1016/j.apm.2005.05.018)
Full text not available from this repository.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.
Item Type: | Article |
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Additional Information: | [1] Paper published in special issue of Applied Mathematical Modelling titled: Parallel and distributed computing for computational mechanics. |
Uncontrolled Keywords: | fractal video compression, distributed computing, parallel algorithm, local area network, DCOM, .NET remoting |
Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Pre-2014 Departments: | School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group School of Computing & Mathematical Sciences > Department of Mathematical Sciences School of Computing & Mathematical Sciences > Statistics & Operational Research Group |
Related URLs: | |
Last Modified: | 14 Oct 2016 09:02 |
URI: | http://gala.gre.ac.uk/id/eprint/993 |
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