Dynamic QoE-aware live streaming with clustering clients

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概要

• 論文の詳細を見る

• In this paper, we propose a dynamic Quality of Experience (QoE)-aware live streaming algorithm by utilizing client clustering and similarity metrics. Encoding scheme of the proposed system finds a sufficient bitrate of the video and creates quality levels adapted to the distribution of clients' bandwidth to improve overall average of user's QoE. We show that the proposed system can improve structural similarity method (SSIM) performance when the client's bandwidth is distributed in low or middle bandwidth, and decreases the number of clients who stop play back.

• The Institute of Electronics, Information and Communication Engineersの論文

著者

• Bandai Masaki

  Dept. Of Computer Science Shizuoka University

• Bandai Masaki

  Dept. of Information and Communication Sciences, Sophia University

• Satake Naoki

  Dept. of Information and Communication Sciences, Sophia University

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• Dynamic QoE-aware live streaming with clustering clients

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