Using a Commodity Hardware Video Encoder for Interactive Applications

Author:

Stensland Håkon Kvale1,Wilhelmsen Martin Alexander2,Gaddam Vamsidhar Reddy1,Mortensen Asgeir2,Langseth Ragnar3,Griwodz Carsten1,Halvorsen Pål1

Affiliation:

1. University of Oslo and Simula Research Laboratory, Oslo, Norway

2. University of Oslo, Oslo, Norway

3. ForzaSys AS, Oslo, Norway

Abstract

Over the last years, video streaming has become one of the most dominant Internet services. Due to the increased availability of high-speed Internet access, multimedia services are becoming more interactive. Examples of such applications are both cloud gaming (OnLive, 2014) and systems where users can interact with high-resolution content (Gaddam et al., 2014). During the last few years, programmable hardware video encoders have been built into commodity hardware such as CPUs and GPUs. One of these encoders is evaluated in a scenario where individual streams are delivered to the end users. The results show that the visual video quality and the frame size of the hardware-based encoder are comparable to a software-based approach. To evaluate a complete system, a proposed streaming pipeline has been implemented into Quake III. It was found that running the game on a remote server and streaming the video output to a client web browser located in a typical home environment is possible and enjoyable. The interaction latency is measured to be less than 90 ms, which is below what is reported for OnLive in a similar environment

Publisher

IGI Global

Reference21 articles.

1. Cannell, J. (2010). Enterthesingularity: Latency & human response time in current and future games.

2. Latency and player actions in online games

3. Interactive zoom and panning from live panoramic video.;V. R.Gaddam;Proc. of NOSSDAV,2014

4. gai. (2014). Gaika.com. https://www.gaikai.com/

5. Grant, C. (2010). Onlive latency: The reckoning. http://www. eurogamer.net/articles/digitalfoundry-onlive-lag-analysis

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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