한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제21권10호
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  • Pages.1182-1194
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  • 2018
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  • 1229-7771(pISSN)
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  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
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DQN 기반 비디오 스트리밍 서비스에서 세그먼트 크기가 품질 선택에 미치는 영향

The Effect of Segment Size on Quality Selection in DQN-based Video Streaming Services

  • Kim, ISeul (School of Computer Science and Engineering, Kyungpook National University) ;
  • Lim, Kyungshik (School of Computer Science and Engineering and Software Technology Research Center, Kyungpook National University)
  • 투고 : 2018.08.14
  • 심사 : 2018.08.30
  • 발행 : 2018.10.31
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초록

The Dynamic Adaptive Streaming over HTTP(DASH) is envisioned to evolve to meet an increasing demand on providing seamless video streaming services in the near future. The DASH performance heavily depends on the client's adaptive quality selection algorithm that is not included in the standard. The existing conventional algorithms are basically based on a procedural algorithm that is not easy to capture and reflect all variations of dynamic network and traffic conditions in a variety of network environments. To solve this problem, this paper proposes a novel quality selection mechanism based on the Deep Q-Network(DQN) model, the DQN-based DASH Adaptive Bitrate(ABR) mechanism. The proposed mechanism adopts a new reward calculation method based on five major performance metrics to reflect the current conditions of networks and devices in real time. In addition, the size of the consecutive video segment to be downloaded is also considered as a major learning metric to reflect a variety of video encodings. Experimental results show that the proposed mechanism quickly selects a suitable video quality even in high error rate environments, significantly reducing frequency of quality changes compared to the existing algorithm and simultaneously improving average video quality during video playback.

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참고문헌

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