混合QoE评估非常适合覆盖网络中的多描述编码视频流

Majd Ghareeb, C. Viho
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引用次数: 31

摘要

我们在本文中的主要重点是确定在视频分发网络(VDN)中多个覆盖路径上的多描述编码(MDC)视频流环境中评估体验质量(QoE)的最合适方法。为了实现这一目标,我们比较了三种不同类型的质量质量评价方法,主观方法,客观方法和混合方法,可以克服主观和客观的局限性。结果表明,混合伪主观质量评估(PSQA)工具如何优于众所周知的峰值信噪比(PSNR)以及在我们的MDC流环境中评估感知视频质量的主观方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid QoE Assessment Is Well-Suited for Multiple Description Coding Video Streaming in Overlay Networks
Our main focus in this paper is to determine the most appropriate method for assessing the Quality of Experience (QoE) in the context of Multiple Description Coding (MDC) video streaming, over multiple overlay paths, in video distribution networks (VDN). For this objective, we compare three different types of QoE assessment approaches, subjective approach, objective approach and a hybrid approach that can overcome the limitations of both subjective and objective ones. Results show how the hybrid Pseudo-Subjective Quality Assessment (PSQA) tool can outperform the well-known peak signal to noise ratio (PSNR) as well as the subjective methods for evaluating the perceived video quality in our context of MDC streaming.
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