A Subjective Comparison of AV1 and HEVC for Adaptive Video Streaming

Angeliki Katsenou; Aaron Zhang; Mariana Afonso; David Bull

doi:10.1109/ICIP.2019.8803523

A Subjective Comparison of AV1 and HEVC for Adaptive Video Streaming

Angeliki Katsenou, Aaron Zhang, Mariana Afonso, David Bull

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

15 Citations (Scopus)

185 Downloads (Pure)

Abstract

In this paper we compare the performance of two state-of-the-art competing codecs, AV1 and HEVC, in the context of adaptive streaming. We specifically consider a Dynamic Optimizer (DO) methodology that is content-aware and selects the resolution ofthe video sequence after constructing the convex hull of the Rate-Quality curves of all considered resolutions. We start with an objective evaluation of the Dynamic Optimizer, based on both PSNR and VMAF quality metrics. The Rate-VMAF curves show an average of 6.3% BD-Rate gain of AV1 over HEVC, while the Rate-PSNR curves an show an average BD-Rate loss of 1.8%. We then report subjective tests which evaluate the perceived quality of the selected bit streams generated by the two codecs. In this case it was found that, for most rate points, the difference in the perceived quality between HEVC and AV1 is not significant.

Original language	English
Title of host publication	2019 IEEE International Conference on Image Processing (ICIP 2019)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	5
ISBN (Print)	9781538662502
DOIs	https://doi.org/10.1109/ICIP.2019.8803523
Publication status	Published - 26 Aug 2019
Event	IEEE International Conference on Image Processing - Asia, Taipei, Taiwan Duration: 22 Sep 2019 → 25 Sep 2019 http://2019.ieeeicip.org

Publication series

Name
ISSN (Print)	1522-4880

Conference

Conference	IEEE International Conference on Image Processing
Abbreviated title	ICIP
Country/Territory	Taiwan
City	Taipei
Period	22/09/19 → 25/09/19
Internet address	http://2019.ieeeicip.org

Keywords

Subjective Evaluation
Video Compression
AV1
HEVC
Adaptive Video Streaming

Access to Document

10.1109/ICIP.2019.8803523

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 https://ieeexplore.ieee.org/document/8803523. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 11.6 MB

Handle.net

Persistent link

Intelligent Resampling Methods for Video Compression
Author: Fernandez Afonso, M., 25 Jun 2019
Supervisor: Agrafiotis, D. (Supervisor) & Bull, D. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)

File

BVI - Video Codec Evaluation
Zhang, F. (Creator), Katsenou, A. (Creator), Afonso, M. (Creator) & Bull, D. R. (Creator), University of Bristol, 19 Oct 2019
DOI: 10.5523/bris.1fyr4uv4aqo352lct09g7r9ejp, http://data.bris.ac.uk/data/dataset/1fyr4uv4aqo352lct09g7r9ejp
Dataset

Dr Angeliki Katsenou
- angeliki.katsenoubristol.acuk
- Department of Electrical & Electronic Engineering - Senior Lecturer in Networked Media
- Bristol Vision Institute
Person: Academic , Member

Cite this

@inproceedings{ec86aa40bacd421c956e1e695dab8c22,

title = "A Subjective Comparison of AV1 and HEVC for Adaptive Video Streaming",

abstract = "In this paper we compare the performance of two state-of-the-art competing codecs, AV1 and HEVC, in the context of adaptive streaming. We specifically consider a Dynamic Optimizer (DO) methodology that is content-aware and selects the resolution ofthe video sequence after constructing the convex hull of the Rate-Quality curves of all considered resolutions. We start with an objective evaluation of the Dynamic Optimizer, based on both PSNR and VMAF quality metrics. The Rate-VMAF curves show an average of 6.3% BD-Rate gain of AV1 over HEVC, while the Rate-PSNR curves an show an average BD-Rate loss of 1.8%. We then report subjective tests which evaluate the perceived quality of the selected bit streams generated by the two codecs. In this case it was found that, for most rate points, the difference in the perceived quality between HEVC and AV1 is not significant.",

keywords = "Subjective Evaluation, Video Compression, AV1, HEVC, Adaptive Video Streaming",

author = "Angeliki Katsenou and Aaron Zhang and Mariana Afonso and David Bull",

year = "2019",

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doi = "10.1109/ICIP.2019.8803523",

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

booktitle = "2019 IEEE International Conference on Image Processing (ICIP 2019)",

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A Subjective Comparison of AV1 and HEVC for Adaptive Video Streaming. / Katsenou, Angeliki ; Zhang, Aaron; Afonso, Mariana et al.

2019 IEEE International Conference on Image Processing (ICIP 2019). Institute of Electrical and Electronics Engineers (IEEE), 2019.

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

TY - GEN

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AU - Katsenou, Angeliki

AU - Zhang, Aaron

AU - Afonso, Mariana

AU - Bull, David

PY - 2019/8/26

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N2 - In this paper we compare the performance of two state-of-the-art competing codecs, AV1 and HEVC, in the context of adaptive streaming. We specifically consider a Dynamic Optimizer (DO) methodology that is content-aware and selects the resolution ofthe video sequence after constructing the convex hull of the Rate-Quality curves of all considered resolutions. We start with an objective evaluation of the Dynamic Optimizer, based on both PSNR and VMAF quality metrics. The Rate-VMAF curves show an average of 6.3% BD-Rate gain of AV1 over HEVC, while the Rate-PSNR curves an show an average BD-Rate loss of 1.8%. We then report subjective tests which evaluate the perceived quality of the selected bit streams generated by the two codecs. In this case it was found that, for most rate points, the difference in the perceived quality between HEVC and AV1 is not significant.

AB - In this paper we compare the performance of two state-of-the-art competing codecs, AV1 and HEVC, in the context of adaptive streaming. We specifically consider a Dynamic Optimizer (DO) methodology that is content-aware and selects the resolution ofthe video sequence after constructing the convex hull of the Rate-Quality curves of all considered resolutions. We start with an objective evaluation of the Dynamic Optimizer, based on both PSNR and VMAF quality metrics. The Rate-VMAF curves show an average of 6.3% BD-Rate gain of AV1 over HEVC, while the Rate-PSNR curves an show an average BD-Rate loss of 1.8%. We then report subjective tests which evaluate the perceived quality of the selected bit streams generated by the two codecs. In this case it was found that, for most rate points, the difference in the perceived quality between HEVC and AV1 is not significant.

KW - Subjective Evaluation

KW - Video Compression

KW - AV1

KW - HEVC

KW - Adaptive Video Streaming

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DO - 10.1109/ICIP.2019.8803523

M3 - Conference Contribution (Conference Proceeding)

SN - 9781538662502

BT - 2019 IEEE International Conference on Image Processing (ICIP 2019)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - IEEE International Conference on Image Processing

Y2 - 22 September 2019 through 25 September 2019

ER -

A Subjective Comparison of AV1 and HEVC for Adaptive Video Streaming

Abstract

Publication series

Conference

Keywords

Access to Document

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Student theses

Intelligent Resampling Methods for Video Compression

Datasets

BVI - Video Codec Evaluation

Profiles

Dr Angeliki Katsenou

Cite this