Using a Commodity Hardware Video Encoder for Interactive Applications
Håkon Kvale Stensland,
Martin Alexander Wilhelmsen,
Vamsidhar Reddy Gaddam,
Asgeir Mortensen,
Ragnar Langseth,
Carsten Griwodz and
Pål Halvorsen
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Håkon Kvale Stensland: University of Oslo and Simula Research Laboratory, Oslo, Norway
Martin Alexander Wilhelmsen: University of Oslo, Oslo, Norway
Vamsidhar Reddy Gaddam: University of Oslo and Simula Research Laboratory, Oslo, Norway
Asgeir Mortensen: University of Oslo, Oslo, Norway
Ragnar Langseth: ForzaSys AS, Oslo, Norway
Carsten Griwodz: University of Oslo and Simula Research Laboratory, Oslo, Norway
Pål Halvorsen: University of Oslo and Simula Research Laboratory, Oslo, Norway
International Journal of Multimedia Data Engineering and Management (IJMDEM), 2015, vol. 6, issue 3, 17-31
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
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jmdem0:v:6:y:2015:i:3:p:17-31
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International Journal of Multimedia Data Engineering and Management (IJMDEM) is currently edited by Chengcui Zhang
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