An adaptive QP offset determination method for HEVC

Miltiadis Alexios Papadopoulos; Aaron Zhang; Dimitris Agrafiotis; David Bull

doi:10.1109/ICIP.2016.7533155

An adaptive QP offset determination method for HEVC

Miltiadis Alexios Papadopoulos, Aaron Zhang, Dimitris Agrafiotis, David Bull

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

18 Citations (Scopus)

635 Downloads (Pure)

Abstract

This paper investigates the effect that the QP offset value has on the coding performance of HEVC. We relate QP offset to the type of texture content present in the sequence. These then are used to develop a low-complexity adaptive QP offset selection method. This enables in-loop configuration of the QP offset parameter in a way that is content dependent and utilizes available encoding statistics. The proposed adaptive method is found to offer average bitrate reductions ranging from 1.38% for dynamic texture sequences up to 1.59% for static texture sequences relative to the QP offset used in the JCT-VC common test conditions.

Original language	English
Title of host publication	2016 IEEE International Conference on Image Processing (ICIP 2016)
Subtitle of host publication	Proceedings of a meeting held 25-28 September 2016, Phoenix, Arizona, USA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	4220-4224
Number of pages	5
ISBN (Electronic)	9781467399616
ISBN (Print)	9781467399623
DOIs	https://doi.org/10.1109/ICIP.2016.7533155
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
ISSN (Print)	2381-8549

Conference

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

Keywords

HEVC
QP offset
adaptive method

Access to Document

10.1109/ICIP.2016.7533155

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/7533155/. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 300 KB

Handle.net

Persistent link

Cite this

Papadopoulos, M. A., Zhang, A., Agrafiotis, D., & Bull, D. (2017). An adaptive QP offset determination method for HEVC. In 2016 IEEE International Conference on Image Processing (ICIP 2016): Proceedings of a meeting held 25-28 September 2016, Phoenix, Arizona, USA (pp. 4220-4224). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIP.2016.7533155

@inproceedings{7d8c70f278bd4c4aac63bd76459a7667,

title = "An adaptive QP offset determination method for HEVC",

abstract = "This paper investigates the effect that the QP offset value has on the coding performance of HEVC. We relate QP offset to the type of texture content present in the sequence. These then are used to develop a low-complexity adaptive QP offset selection method. This enables in-loop configuration of the QP offset parameter in a way that is content dependent and utilizes available encoding statistics. The proposed adaptive method is found to offer average bitrate reductions ranging from 1.38% for dynamic texture sequences up to 1.59% for static texture sequences relative to the QP offset used in the JCT-VC common test conditions.",

keywords = "HEVC, QP offset, adaptive method",

author = "Papadopoulos, {Miltiadis Alexios} and Aaron Zhang and Dimitris Agrafiotis and David Bull",

year = "2017",

month = mar,

doi = "10.1109/ICIP.2016.7533155",

language = "English",

isbn = "9781467399623",

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

pages = "4220--4224",

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

address = "United States",

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

}

Papadopoulos, MA, Zhang, A , Agrafiotis, D & Bull, D 2017, An adaptive QP offset determination method for HEVC. in 2016 IEEE International Conference on Image Processing (ICIP 2016): Proceedings of a meeting held 25-28 September 2016, Phoenix, Arizona, USA. Institute of Electrical and Electronics Engineers (IEEE), pp. 4220-4224, IEEE ICIP 2016, Phoenix, Arizona, United States, 25/09/16. https://doi.org/10.1109/ICIP.2016.7533155

An adaptive QP offset determination method for HEVC. / Papadopoulos, Miltiadis Alexios; Zhang, Aaron ; Agrafiotis, Dimitris et al.
2016 IEEE International Conference on Image Processing (ICIP 2016): Proceedings of a meeting held 25-28 September 2016, Phoenix, Arizona, USA. Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 4220-4224.

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

TY - GEN

T1 - An adaptive QP offset determination method for HEVC

AU - Papadopoulos, Miltiadis Alexios

AU - Zhang, Aaron

AU - Agrafiotis, Dimitris

AU - Bull, David

PY - 2017/3

Y1 - 2017/3

N2 - This paper investigates the effect that the QP offset value has on the coding performance of HEVC. We relate QP offset to the type of texture content present in the sequence. These then are used to develop a low-complexity adaptive QP offset selection method. This enables in-loop configuration of the QP offset parameter in a way that is content dependent and utilizes available encoding statistics. The proposed adaptive method is found to offer average bitrate reductions ranging from 1.38% for dynamic texture sequences up to 1.59% for static texture sequences relative to the QP offset used in the JCT-VC common test conditions.

AB - This paper investigates the effect that the QP offset value has on the coding performance of HEVC. We relate QP offset to the type of texture content present in the sequence. These then are used to develop a low-complexity adaptive QP offset selection method. This enables in-loop configuration of the QP offset parameter in a way that is content dependent and utilizes available encoding statistics. The proposed adaptive method is found to offer average bitrate reductions ranging from 1.38% for dynamic texture sequences up to 1.59% for static texture sequences relative to the QP offset used in the JCT-VC common test conditions.

KW - HEVC

KW - QP offset

KW - adaptive method

U2 - 10.1109/ICIP.2016.7533155

DO - 10.1109/ICIP.2016.7533155

M3 - Conference Contribution (Conference Proceeding)

SN - 9781467399623

SP - 4220

EP - 4224

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

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - IEEE ICIP 2016

Y2 - 25 September 2016 through 28 September 2016

ER -

Papadopoulos MA, Zhang A , Agrafiotis D , Bull D. An adaptive QP offset determination method for HEVC. In 2016 IEEE International Conference on Image Processing (ICIP 2016): Proceedings of a meeting held 25-28 September 2016, Phoenix, Arizona, USA. Institute of Electrical and Electronics Engineers (IEEE). 2017. p. 4220-4224 Epub 2016 Aug 19. doi: 10.1109/ICIP.2016.7533155

An adaptive QP offset determination method for HEVC

Abstract

Publication series

Conference

Keywords

Access to Document

Handle.net

Fingerprint

Cite this