Fast block matching algorithms for motion estimation
Motion compensation is an effective method for reducing temporal redundancy found in video sequence compression. However, the complexity of the full-search block matching algorithm (BMA) is extremely high and a number of fast algorithms have been proposed to reduce the computational complexity of th...
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| Published in | 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings Vol. 4; pp. 2311 - 2314 vol. 4 |
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| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
1996
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| Subjects | |
| Online Access | Get full text |
| ISBN | 9780780331921 0780331923 |
| ISSN | 1520-6149 |
| DOI | 10.1109/ICASSP.1996.547744 |
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| Abstract | Motion compensation is an effective method for reducing temporal redundancy found in video sequence compression. However, the complexity of the full-search block matching algorithm (BMA) is extremely high and a number of fast algorithms have been proposed to reduce the computational complexity of the BMA. We propose three techniques for reducing the arithmetic complexity of the BMA. They are namely: (1) domain decimation, (2) error function subsampling, and (3) multiple candidates search. The domain decimation and error function decimation try to reduce the arithmetic complexity by reducing the number of operations in each comparison, the search range and number of locations searched. The multiple candidates search is a technique used to increase the robust of such algorithms. Combination of these techniques can generate algorithms with different tradeoff between arithmetic complexity and quality of prediction. |
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| AbstractList | Motion compensation is an effective method for reducing temporal redundancy found in video sequence compression. However, the complexity of the full-search block matching algorithm (BMA) is extremely high and a number of fast algorithms have been proposed to reduce the computational complexity of the BMA. We propose three techniques for reducing the arithmetic complexity of the BMA. They are namely: (1) domain decimation, (2) error function subsampling, and (3) multiple candidates search. The domain decimation and error function decimation try to reduce the arithmetic complexity by reducing the number of operations in each comparison, the search range and number of locations searched. The multiple candidates search is a technique used to increase the robust of such algorithms. Combination of these techniques can generate algorithms with different tradeoff between arithmetic complexity and quality of prediction. |
| Author | Cheng, K.W. Chan, S.C. |
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| PublicationTitle | 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings |
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| Snippet | Motion compensation is an effective method for reducing temporal redundancy found in video sequence compression. However, the complexity of the full-search... |
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| SubjectTerms | Arithmetic Computational complexity Iterative algorithms Motion compensation Motion estimation Redundancy Robustness Video coding Video sequences |
| Title | Fast block matching algorithms for motion estimation |
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