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http://dx.doi.org/10.9717/kmms.2011.14.7.849

Fast Game Encoder Based on Scene Descriptor for Gaming-on-Demand Service  

Jeon, Chan-Woong (광운대학교 임베디드소프트웨어공학과)
Jo, Hyun-Ho (광운대학교 컴퓨터공학과)
Sim, Dong-Gyu (광운대학교 컴퓨터공학과)
Publication Information
Journal of Korea Multimedia Society / v.14, no.7, 2011 , pp. 849-857 More about this Journal
Abstract
Gaming on demand(GOD) makes people enjoy games by encoding and transmitting game screen at a server side, and decoding the video at a client side. In this paper, we propose a fast game video encoder for multiple users over network with low-powered devices. In the proposed system, the computational complexity of game encoders is reduced by using scene descriptors, which consists of an object motion vector, global motion, and scene change. With additional information from game engines, the proposed encoder does not need to perform various complexity processes such as motion estimation and ratedistortion optimization. The motion estimation and rate-distortion optimization skipped by scene descriptors. We found that the proposed method improved 192 % in terms of FPS, compared with x264 software. With partial assembly code, we also improved coding speed by 86 % in terms of FPS. We found that the proposed fast encoder could encode over 60 FPS for real-time GOD applications.
Keywords
Gaming-On-Demand; Fast Encoder Algorithm; Streaming; Motion Estimation;
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