Quality of Experience Assessment for Cross-layer Optimization of Video Streaming over Wireless Networks
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Abstract
To evaluate the Quality of experience (QoE) of video steaming services in real time continues to be a desirable yet challenging work. In this paper, we present a novel no-reference model for the QoE assessment of the video streaming service in wireless networks. This model evaluates the QoE of video streaming as a comprehensive function of all the parameters about the encoding/ decoding, transmission, and video content. Through the comprehensive function, our model not only renders a general and accurate tool for the QoE assessment, but also provides several useful guidelines for cross-layer optimizations: such as how to balance the image quality and the playback quality to maximize the video quality and how to protect different types of packets to minimize the transmission distortions.
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