Adaptive Granularity selection in Reference Picture Memory Compression

DOI

10.2991/meic-15.2015.263How to use a DOI?

Keywords

Video processing; reference pictures memory compression (RPMC); memory bandwidth; power consumption; granularity

Abstract

Memory size occupation and memory access bandwidth are capital issues for high resolution video codec design because of the large scale of data, and the high power consumption especially for wireless terminals. An adaptive and random access-obeyed reference pictures memory compression (RPMC) scheme based on as small granularity as 2x2 blocks for 2-bit truncation is proposed in this paper to solve the problems. The impact of granularity in RPMC to memory access bandwidth during motion estimation and/or motion compensation is analyzed firstly. Then an adaptive RPMC scheme based on 2x2 block size is proposed, based on min-max scalar quantization (MMSQ). Finally, the results based on HM are provided which show that compared with the common used 4x4 block-based methods, little performance loss is introduced. At the same time, based on the adaptively merge scheme, the average memory access bandwidth is saved than the 4x4 block based method by up to 17%.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yanzhuo Ma
AU  - Lijuan Kang
PY  - 2015/04
DA  - 2015/04
TI  - Adaptive Granularity selection in Reference Picture Memory Compression
BT  - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 1158
EP  - 1161
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-15.2015.263
DO  - 10.2991/meic-15.2015.263
ID  - Ma2015/04
ER  -