HEVC Enhancement using Content-based Local QP Selection

Aaron Zhang; David Bull

doi:10.1109/ICIP.2016.7533154

HEVC Enhancement using Content-based Local QP Selection

Aaron Zhang, David Bull

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

8 Citations (Scopus)

425 Downloads (Pure)

Abstract

Inspired by recent advances in objective video quality assessment, this paper proposes a novel, local quantisation parameter (QP) determination approach for perceptual video compression, based on the experimental results of a QP selection test. This method has been fully integrated into the High Eciency Video Coding (HEVC) reference codec for intra coding, which predicts coding tree unit (CTU) level QPs to achieve optimised rate quality performance. The proposed approach consistently shows bitrate savings based on perceptual quality metrics and Bjontegaard delta measurements, with minimal complexity increase over the original codec.

Original language	English
Title of host publication	2016 IEEE International Conference on Image Process (ICIP 2016)
Subtitle of host publication	Proceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	4215-4219
Number of pages	5
ISBN (Electronic)	9781467399616
ISBN (Print)	9781467399623
DOIs	https://doi.org/10.1109/ICIP.2016.7533154
Publication status	Published - Mar 2017
Event	IEEE ICIP 2016 - Phoenix Convention Center, Phoenix, Arizona, United States Duration: 25 Sept 2016 → 28 Sept 2016

Publication series

Name	Proceedings of the IEEE International Conference on Image Processing (ICIP)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)	2381-8549

Conference

Conference	IEEE ICIP 2016
Country/Territory	United States
City	Phoenix, Arizona
Period	25/09/16 → 28/09/16

Keywords

Perceptual video compression
quantisation parameter selection
HEVC

Access to Document

10.1109/ICIP.2016.7533154

Full-text PDF (accepted author manuscript)
This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at http://ieeexplore.ieee.org/document/7533154. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 2.03 MB

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Persistent link

Vision for the Future-Full
Bull, D. R.
1/02/15 → 31/01/20
Project: Research
COMPPACT
Bull, D. R.
8/08/12 → 8/08/15
Project: Research

Cite this

Zhang, A., & Bull, D. (2017). HEVC Enhancement using Content-based Local QP Selection. In 2016 IEEE International Conference on Image Process (ICIP 2016): Proceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA (pp. 4215-4219). (Proceedings of the IEEE International Conference on Image Processing (ICIP)). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIP.2016.7533154

Zhang, Aaron ; Bull, David. / HEVC Enhancement using Content-based Local QP Selection. 2016 IEEE International Conference on Image Process (ICIP 2016): Proceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA. Institute of Electrical and Electronics Engineers (IEEE), 2017. pp. 4215-4219 (Proceedings of the IEEE International Conference on Image Processing (ICIP)).

@inproceedings{6d107011fcd04042813e0df4847da8d3,

title = "HEVC Enhancement using Content-based Local QP Selection",

abstract = "Inspired by recent advances in objective video quality assessment, this paper proposes a novel, local quantisation parameter (QP) determination approach for perceptual video compression, based on the experimental results of a QP selection test. This method has been fully integrated into the High Eciency Video Coding (HEVC) reference codec for intra coding, which predicts coding tree unit (CTU) level QPs to achieve optimised rate quality performance. The proposed approach consistently shows bitrate savings based on perceptual quality metrics and Bjontegaard delta measurements, with minimal complexity increase over the original codec.",

keywords = "Perceptual video compression, quantisation parameter selection, HEVC",

author = "Aaron Zhang and David Bull",

year = "2017",

month = mar,

doi = "10.1109/ICIP.2016.7533154",

language = "English",

isbn = "9781467399623",

series = "Proceedings of the IEEE International Conference on Image Processing (ICIP)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "4215--4219",

booktitle = "2016 IEEE International Conference on Image Process (ICIP 2016)",

address = "United States",

note = "IEEE ICIP 2016 ; Conference date: 25-09-2016 Through 28-09-2016",

}

Zhang, A & Bull, D 2017, HEVC Enhancement using Content-based Local QP Selection. in 2016 IEEE International Conference on Image Process (ICIP 2016): Proceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA. Proceedings of the IEEE International Conference on Image Processing (ICIP), Institute of Electrical and Electronics Engineers (IEEE), pp. 4215-4219, IEEE ICIP 2016, Phoenix, Arizona, United States, 25/09/16. https://doi.org/10.1109/ICIP.2016.7533154

HEVC Enhancement using Content-based Local QP Selection. / Zhang, Aaron ; Bull, David.
2016 IEEE International Conference on Image Process (ICIP 2016): Proceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA. Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 4215-4219 (Proceedings of the IEEE International Conference on Image Processing (ICIP)).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - HEVC Enhancement using Content-based Local QP Selection

AU - Zhang, Aaron

AU - Bull, David

PY - 2017/3

Y1 - 2017/3

N2 - Inspired by recent advances in objective video quality assessment, this paper proposes a novel, local quantisation parameter (QP) determination approach for perceptual video compression, based on the experimental results of a QP selection test. This method has been fully integrated into the High Eciency Video Coding (HEVC) reference codec for intra coding, which predicts coding tree unit (CTU) level QPs to achieve optimised rate quality performance. The proposed approach consistently shows bitrate savings based on perceptual quality metrics and Bjontegaard delta measurements, with minimal complexity increase over the original codec.

AB - Inspired by recent advances in objective video quality assessment, this paper proposes a novel, local quantisation parameter (QP) determination approach for perceptual video compression, based on the experimental results of a QP selection test. This method has been fully integrated into the High Eciency Video Coding (HEVC) reference codec for intra coding, which predicts coding tree unit (CTU) level QPs to achieve optimised rate quality performance. The proposed approach consistently shows bitrate savings based on perceptual quality metrics and Bjontegaard delta measurements, with minimal complexity increase over the original codec.

KW - Perceptual video compression

KW - quantisation parameter selection

KW - HEVC

U2 - 10.1109/ICIP.2016.7533154

DO - 10.1109/ICIP.2016.7533154

M3 - Conference Contribution (Conference Proceeding)

SN - 9781467399623

T3 - Proceedings of the IEEE International Conference on Image Processing (ICIP)

SP - 4215

EP - 4219

BT - 2016 IEEE International Conference on Image Process (ICIP 2016)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - IEEE ICIP 2016

Y2 - 25 September 2016 through 28 September 2016

ER -

Zhang A , Bull D. HEVC Enhancement using Content-based Local QP Selection. In 2016 IEEE International Conference on Image Process (ICIP 2016): Proceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA. Institute of Electrical and Electronics Engineers (IEEE). 2017. p. 4215-4219. (Proceedings of the IEEE International Conference on Image Processing (ICIP)). Epub 2016 Aug 19. doi: 10.1109/ICIP.2016.7533154

HEVC Enhancement using Content-based Local QP Selection

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