Abstract
Abstract: This paper focuses on the objective of video quality analysis (VQA) and proposes a deep learning-based approach to measure quality degradation. The study involves conducting experiments on various social clouds (SCs) and low-quality videos. Specifically, the selected videos are uploaded to SCs to evaluate the differences in video service and quality. The average of all videos, denoted as Avg 100, is used to measure the quality, while the peak signal-to-noise ratio (PSNR) is found to have no significant impact on other indicators. By utilizing deep learning techniques, this research aims to provide optimal video quality and multimedia services that meet the standards of Quality of Service (QoS) and enhance the overall Quality of Experience (QoE) for users
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