Performance Analysis of Motion Estimation Algorithms on Digital Video Images
An improvement on redundancy to achieve high compression ratio in video coding is developed. Block Matching Motion Estimation (BMME) techniques have been particularly used in various coding standards. In the BMME, search patterns with different shapes or sizes and the center-biased characteristics o...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Trans Tech Publications
2011
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/8534/1/AMM.83.174.pdf http://eprints.utem.edu.my/id/eprint/8534/ |
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| Summary: | An improvement on redundancy to achieve high compression ratio in video coding is developed. Block Matching Motion Estimation (BMME) techniques have been particularly used in various coding standards. In the BMME, search patterns with different shapes or sizes and the center-biased characteristics of motion vector (MV) have large impact on the search speed (search points) and peak signal-to-noise ratio (PSNR) as the quality of video images. These basic algorithms are Full Search and other two fast search methods. The Cross Diamond Search (CDS) algorithm was designed to fit the cross-center-biased (CCB) MV distribution characteristics of the real-world video sequences. CDS compares favorably with the other algorithms for low motion sequences in terms of speed, quality and computational complexity. |
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