Title :
Video Encoding Acceleration in Cloud Gaming
Author :
Semsarzadeh, Mehdi ; Yassine, Abdulsalam ; Shirmohammadi, Shervin
Author_Institution :
Distrib. & Collaborative Virtual Environ. Res. Lab., Univ. of Ottawa, Ottawa, ON, Canada
Abstract :
Cloud computing provides reliable, affordable, and flexible resources for many applications and users with constrained computing resources and capabilities. The cloud computing concept is becoming an appealing paradigm for many industries including the gaming industry, leading to the introduction of cloud gaming architectures. Despite its advantages, cloud gaming suffers from unguaranteed end-to-end delay as well as server side´s computational complexity. In this paper, a novel algorithm for reducing the computational complexity and hence speeding up the video encoding speed is proposed. Specifically, by performing minimum modifications in the game engine and the video codec, some information from the game engine is fed into the video encoder to bypass the motion estimation (ME) process. Our results show that the proposed method achieves up to 39% speedup in the ME process, leading to a 24% acceleration in the total encoding process.
Keywords :
cloud computing; computational complexity; computer games; motion estimation; video codecs; video coding; ME process; cloud computing; cloud gaming architectures; computational complexity; end-to-end delay; game engine; motion estimation; video codec; video encoding acceleration; Acceleration; Cloud computing; Computational complexity; Encoding; Games; Motion estimation; Streaming media; Cloud computing; Cloud gaming; Computational complexity; Game video motion estimation; Video encoding; cloud gaming; computational complexity; game video motion estimation (ME); video encoding;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
DOI :
10.1109/TCSVT.2015.2452778