基于模糊逻辑推理系统的无线网络高清HEVC视频流质量预测模型

Farouk Boumehrez, A. Sahour, N. Doghmane
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引用次数: 0

摘要

检查通过无线网络传输的视频质量对于提高网络性能至关重要。在本文中,我们评估了HEVC/H。265视频编码标准在量化参数(QP)、视频内容、传输信道退化等方面对质量的影响。此外,研究服务质量(QoS)和体验质量(QoE)将使我们能够研究无线自组织网络中的多媒体应用。本文提出(1)在HEVC/H265上对不同视频内容的QP值变化进行性能评价;(2)研究丢包和抖动对传输序列QoS的影响;(3)提出模糊逻辑模型对传输序列性能进行评价。结果表明,采用不同的QP值可以抵消丢包和抖动的影响,提高接收到的视频质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy logic inference system based quality prediction model for HD HEVC video streaming over wireless networks
Checking the quality of video transmitted over a wireless network is critical to improving network performance. In this paper, we evaluate the HEVC/H.265 video coding standard in terms of quantization parameters (QP), video content, and the degradation impact of transmission channels on quality. Additionally, studying Quality of Service (QoS) and Quality of Experience (QoE) will allow us to study multimedia applications in wireless ad hoc networks. This paper presents (1) the performance evaluation of QP value variation for different video contents on HEVC/H265, (2) the investigation of the impact of packet loss and jitter on the QoS of transmission sequences, and (3) the fuzzy logic model proposed to evaluate the performance of transmission sequences. The results show that using different QP values can counteract the effects of packet loss and jitter and improve the received video quality.
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