Paper Title :Parallelizing And Comparing Block Matching Algorithms In H.264 On Nvidia Cuda
Author :Kochmuriyil Jancy James, Renuka Joshi, Darshan Pawar, Sagar Karwande, Chandrama Thorat
Article Citation :Kochmuriyil Jancy James ,Renuka Joshi ,Darshan Pawar ,Sagar Karwande ,Chandrama Thorat ,
(2015 ) " Parallelizing And Comparing Block Matching Algorithms In H.264 On Nvidia Cuda " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 6-9,
Volume-3, Issue-1
Abstract : Judging by the amount of research work that is being carried out in the field of parallel computing, it seems to be
the next big thing and it is safe to say that this phenomenon is here to stay. H.264 is a powerful yet flexible video encoding
standard which provides better video quality at lower bitrates. The motion estimation part of video compression is very time
consuming. This computational time can be reduced by parallelizing it on NVIDIA’s CUDA a GPGPU which ensures a
better performance than its non-parallel counterpart using only CPU. This paper strives to provide a comprehensive look into
the three block matching search algorithms, namely Full Search, Three Step Search and Uneven Multi Hexagon Search used
in motion estimation. We parallelize and implement the algorithms in H.264 on CUDA and compare their results to decipher
which provides better efficacy.
Type : Research paper
Published : Volume-3, Issue-1
Copyright: © Institute of Research and Journals
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Published on 2015-01-05 |
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