Frame-level quality and memory traffic allocation for lossy embedded compression in video codec systems

Li Guo, Dajiang Zhou, Shinji Kimura, Satoshi Goto

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

1 Citation (Scopus)

Abstract

For mobile video codecs, the huge energy dissipation for external memory traffic is a critical challenge under the battery power constraint. Lossy embedded compression (EC), as a solution to this challenge, is considered in this paper. While previous studies in EC mostly focused on compression algorithms at the block level, this work, to the best of our knowledge, is the first one that addresses the allocation of video quality and memory traffic at the frame level. For lossy EC, a main difficulty of its application lies in the error propagation from quality degradation of reference frames. Instinctively, it is preferred to perform more lossy EC in non-reference frames to minimize the quality loss. The analysis and experiments in this paper, however, will show lossy EC should actually be distributed to more frames. Correspondingly, for hierarchical-B GOPs, we developed an efficient allocation that outperforms the non-reference-only allocation by up to 4.5 dB in PSNR. In comparison, the proposed allocation also delivers more consistent quality between frames by having lower PSNR fluctuation.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509015528
DOIs
Publication statusPublished - 2016 Sep 22
Event2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016 - Seattle, United States
Duration: 2016 Jul 112016 Jul 15

Other

Other2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016
CountryUnited States
CitySeattle
Period16/7/1116/7/15

Fingerprint

Data storage equipment
Energy dissipation
Degradation
Experiments

Keywords

  • Embedded compression
  • Frame-level
  • GOP
  • HEVC
  • Video coding

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition

Cite this

Guo, L., Zhou, D., Kimura, S., & Goto, S. (2016). Frame-level quality and memory traffic allocation for lossy embedded compression in video codec systems. In 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016 [7574759] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMEW.2016.7574759

Frame-level quality and memory traffic allocation for lossy embedded compression in video codec systems. / Guo, Li; Zhou, Dajiang; Kimura, Shinji; Goto, Satoshi.

2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7574759.

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

Guo, L, Zhou, D, Kimura, S & Goto, S 2016, Frame-level quality and memory traffic allocation for lossy embedded compression in video codec systems. in 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016., 7574759, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016, Seattle, United States, 16/7/11. https://doi.org/10.1109/ICMEW.2016.7574759
Guo L, Zhou D, Kimura S, Goto S. Frame-level quality and memory traffic allocation for lossy embedded compression in video codec systems. In 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7574759 https://doi.org/10.1109/ICMEW.2016.7574759
Guo, Li ; Zhou, Dajiang ; Kimura, Shinji ; Goto, Satoshi. / Frame-level quality and memory traffic allocation for lossy embedded compression in video codec systems. 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016. Institute of Electrical and Electronics Engineers Inc., 2016.
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