Code covered by the BSD License
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costFuncMAD(currentBlk,refBlk...
Computes the Mean Absolute Difference (MAD) for the given two blocks
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imgPSNR(imgP, imgComp, n)
Computes motion compensated image's PSNR
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minCost(costs)
Finds the indices of the cell that holds the minimum cost
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motionComp(imgI, motionVect, ...
Computes motion compensated image using the given motion vectors
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motionEst4SS(imgP, imgI, mbSi...
Computes motion vectors using Four Step Search method
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motionEstARPS(imgP, imgI, mbS...
Computes motion vectors using Adaptive Rood Pattern Search method
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motionEstDS(imgP, imgI, mbSiz...
Computes motion vectors using Diamond Search method
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motionEstES(imgP, imgI, mbSiz...
Computes motion vectors using exhaustive search method
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motionEstNTSS(imgP, imgI, mbS...
Computes motion vectors using *NEW* Three Step Search method
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motionEstSESTSS(imgP, imgI, m...
Computes motion vectors using Simple and Efficient TSS method
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motionEstTSS(imgP, imgI, mbSi...
Computes motion vectors using Three Step Search method
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motionEstAnalysis.m
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View all files
Block Matching Algorithms for Motion Estimation
by Aroh Barjatya
19 Oct 2005
(Updated 16 Dec 2011)
Review of various block matching algorithms used for motion estimation in MPEG coding.
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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.
Please read the README.txt first. |
| 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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| Updates |
| 20 Oct 2005 |
Added a README.txt |
| 16 Dec 2011 |
Updated the README.txt file to reflect the location of test images. |
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