A Dynamic Search Range Algorithm for Stabilized Reduction of Memory Traffic in Video Encoder
Embedded compression is commonly employed in a video codec to reduce the data traffic to/from off-chip frame memory. We proposed a method for maintaining the memory bandwidth requirement at a significantly reduced level through dynamic search range adjustment for the motion estimation based on the o...
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Published in: | IEEE transactions on circuits and systems for video technology Vol. 20; no. 7; pp. 1041 - 1046 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
New York, NY
IEEE
01-07-2010
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects: | |
Online Access: | Get full text |
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Summary: | Embedded compression is commonly employed in a video codec to reduce the data traffic to/from off-chip frame memory. We proposed a method for maintaining the memory bandwidth requirement at a significantly reduced level through dynamic search range adjustment for the motion estimation based on the observed relationship between the compression ratio and the motion vector. This, together with the so-called "center moving" to adjust the newly incoming macroblocks, helped significantly lower the requirement of the memory bandwidth without a fluctuation. Experimental results have shown that the memory bandwidth requirement can be finally stabilized to 20% of that of the full search. The image quality degradation was merely 0.02 dB. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 1051-8215 1558-2205 |
DOI: | 10.1109/TCSVT.2010.2046054 |