Reducing power consumption of HEVC codec with lossless reference frame recompression

Dajiang Zhou, Li Guo, Jinjia Zhou, Satoshi Goto

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

Motion estimation and motion compensation in HEVC and similar video codecs involve huge memory traffic in storing and loading reference frames. The resulting memory power composes a significant portion of system energy consumption. This paper presents a memory power reduction framework that losslessly compresses and decompresses reference frames on-the-fly. We first present the architecture that supports the random access of frame data compressed in variable ratios. The latest recompression algorithms and the corresponding VLSI implementation are also introduced. The framework has been implemented in several UHDTV ASIC and FPGA codecs. Experiments under HEVC common test conditions show an average memory traffic reduction of near 60%.

本文言語English
ホスト出版物のタイトル2014 IEEE International Conference on Image Processing, ICIP 2014
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2120-2124
ページ数5
ISBN(印刷版)9781479957514
DOI
出版ステータスPublished - 2014 1 28

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

フィンガープリント 「Reducing power consumption of HEVC codec with lossless reference frame recompression」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル