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- W2524130305 abstract "In this paper, we focus on the quality of experience (QoE) optimization for dynamic adaptive streaming over HTTP (DASH) services. First, we propose a QoE evaluation model based on playback continuity, segment media quality and perceptual quality fluctuations caused by bitrate switching. Plenty of subjective mean-opinion-score (MOS) tests have shown a good correlation between this model and subjective perception. Second, based on our QoE evaluation model, we formulate the rate adaptation for DASH as a constrained convex optimization problem. The design objective is to maximize the overall QoE for the end users while keep the receiver buffer from underflow. Numerous experiment results demonstrate that our proposed rate adaptation scheme achieves near optimal tradeoff between overall QoE and playback continuity." @default.
- W2524130305 created "2016-10-07" @default.
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- W2524130305 date "2016-07-01" @default.
- W2524130305 modified "2023-09-25" @default.
- W2524130305 title "A QOE-driven approach to rate adaptation for dynamic adaptive streaming over http" @default.
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- W2524130305 doi "https://doi.org/10.1109/icmew.2016.7574776" @default.
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