Cost-effective multiresolution motion estimation algorithm for rate distortion optimized high definition video encoder

This paper proposes an efficient multiresolution motion estimation algorithm (MMEA) well-suited for high definition video encoder VLSI implementation. 16-way parallel process element arrays achieve fast search with regular data access and efficient data reuse. Moreover, the parallel arrays can be ef...

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Bibliographic Details
Published in2009 17th IFIP International Conference on Very Large Scale Integration (VLSI-SoC) pp. 189 - 192
Main Authors Hai Bing Yin, Xiu Min Wang, Zhe Lei Xia, Hong Gang Qi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Arrays
Degradation
Encoding
Hardware
high definition
High definition video
Motion estimation
Multiresolution
Streaming media
video encoder
VLSI
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Summary:This paper proposes an efficient multiresolution motion estimation algorithm (MMEA) well-suited for high definition video encoder VLSI implementation. 16-way parallel process element arrays achieve fast search with regular data access and efficient data reuse. Moreover, the parallel arrays can be efficiently reused at three hierarchical levels for sequential motion vector (MV) refinement. Also, an intelligent algorithm for multiple candidate MV selection is proposed to compensate for performance degradation due to parallel MMEA. The whole algorithm achieves a good balance between complexity and performance. Simulation results show that only 0.14dB PSNR degradation at the worst case is achieved compared with full search algorithm.
ISBN:1457702371
9781457702372
ISSN:2324-8432
DOI:10.1109/VLSISOC.2009.6041353