Impact of Video Motion Content on HEVC Coding Efficiency

Author:

Salih Khalid A. M.1,Ali Ismail Amin2ORCID,Mstafa Ramadhan J.1ORCID

Affiliation:

1. Department of Computer Science, College of Science, University of Zakho, Zakho 42002, Kurdistan Region, Iraq

2. Department of Electrical and Computer Engineering, College of Engineering, University of Duhok, Duhok 42001, Kurdistan Region, Iraq

Abstract

Digital video coding aims to reduce the bitrate and keep the integrity of visual presentation. High-Efficiency Video Coding (HEVC) can effectively compress video content to be suitable for delivery over various networks and platforms. Finding the optimal coding configuration is challenging as the compression performance highly depends on the complexity of the encoded video sequence. This paper evaluates the effects of motion content on coding performance and suggests an adaptive encoding scheme based on the motion content of encoded video. To evaluate the effects of motion content on the compression performance of HEVC, we tested three coding configurations with different Group of Pictures (GOP) structures and intra refresh mechanisms. Namely, open GOP IPPP, open GOP Periodic-I, and closed GOP periodic-IDR coding structures were tested using several test sequences with a range of resolutions and motion activity. All sequences were first tested to check their motion activity. The rate–distortion curves were produced for all the test sequences and coding configurations. Our results show that the performance of IPPP coding configuration is significantly better (up to 4 dB) than periodic-I and periodic-IDR configurations for sequences with low motion activity. For test sequences with intermediate motion activity, IPPP configuration can still achieve a reasonable quality improvement over periodic-I and periodic-IDR configurations. However, for test sequences with high motion activity, IPPP configuration has a very small performance advantage over periodic-I and periodic-IDR configurations. Our results indicate the importance of selecting the appropriate coding structure according to the motion activity of the video being encoded.

Publisher

MDPI AG

Reference39 articles.

1. Cisco, U. (2024, July 30). Cisco Annual Internet Report (2018–2023) White Paper. Available online: https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html.

2. (2024, January 29). Statista. Video Streaming (SVoD)—Worldwide. Available online: https://www.statista.com/outlook/dmo/digital-media/video-on-demand/worldwide.

3. Performance comparison of emerging EVC and VVC video coding standards with HEVC and AV1;Grois;SMPTE Motion Imaging J.,2021

4. Ramasamy, V., and Pop, M.-D. (2023). The Future Network 2030: A Simplified Intelligent Transportation System. Intelligent Technologies for Sensors: Applications, Design, and Optimization for a Smart World, Apple Academic Press.

5. Improving medical video coding using multi scale quincunx lattice: From low bitrate to high quality;Habchi;Trait. Du Signal,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3