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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.
Citation pour cette source
Aroh Barjatya (2026). Block Matching Algorithms for Motion Estimation (https://fr.mathworks.com/matlabcentral/fileexchange/8761-block-matching-algorithms-for-motion-estimation), MATLAB Central File Exchange. Extrait(e) le .
Remerciements
A inspiré : mpeg compression, Scalable MPEG compression based on DCT coefficients
Informations générales
- Version 1.1.0.0 (119 ko)
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.1.0.0 | Updated the README.txt file to reflect the location of test images. |
||
| 1.0.0.0 | Added a README.txt |
