Reducing power consumption of HEVC codec with lossless reference frame recompression

Dajiang Zhou, Li Guo, Jinjia Zhou, Satoshi Goto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

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%.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Image Processing, ICIP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2120-2124
Number of pages5
ISBN (Print)9781479957514
DOIs
Publication statusPublished - 2014 Jan 28

Keywords

  • AVC
  • embedded compression
  • frame recompression
  • H.264
  • H.265
  • HEVC
  • lossless
  • power consumption
  • video decoder
  • video encoder

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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