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| File Information |
| Description |
This paper (and accompanying MATLAB source code) is a review of the block matching algorithms used for motion estimation in video compression. It implements and compares 7 different types of block matching algorithms that range from the very basic Exhaustive Search to the recent fast adaptive algorithms like Adaptive Rood Pattern Search. The algorithms that are evaluated in this paper are widely accepted by the video compressing community and have been used in implementing various standards, ranging from MPEG1 / H.261 to MPEG4 / H.263. The paper also presents a very brief introduction to the entire flow of video compression. |
| Acknowledgements |
This submission has inspired the following:
mpeg compression, Scalable MPEG compression based on DCT coefficients
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| MATLAB release |
MATLAB 7 (R14)
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| Zip File Content |
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| Other Files |
BlockMatchingAlgoMPEG/BlockMatchingAlgorithmsForMotionEstimation.PDF, BlockMatchingAlgoMPEG/costFuncMAD.m, BlockMatchingAlgoMPEG/imgPSNR.m, BlockMatchingAlgoMPEG/minCost.m, BlockMatchingAlgoMPEG/motionComp.m, BlockMatchingAlgoMPEG/motionEst4SS.m, BlockMatchingAlgoMPEG/motionEstAnalysis.m, BlockMatchingAlgoMPEG/motionEstARPS.m, BlockMatchingAlgoMPEG/motionEstDS.m, BlockMatchingAlgoMPEG/motionEstES.m, BlockMatchingAlgoMPEG/motionEstNTSS.m, BlockMatchingAlgoMPEG/motionEstSESTSS.m, BlockMatchingAlgoMPEG/motionEstTSS.m, BlockMatchingAlgoMPEG/README.txt
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| Updates |
| 20 Oct 2005 |
Added a README.txt |
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