User acceptance for video streaming attribute selection (VSAS) framework in android smartphone devices
List of Authors
  • Mohd Farhan Md Fudzee , Muhamad Hanif Jofri

Keyword
  • Video Streaming Attribute Selection (VSAS), Mean Opinion Score (MOS), Quality of Experience (QoE)

Abstract
  • An appealing element of smartphone connections is network environment standards for video streaming sessions. Video streaming offers entertainment, education, and a portable working environment nowadays. In this research article, we examine the idea of Quality of Experience (QoE) for choosing video material for mobile devices. Online streaming users are often irritated by unpredictable video quality formats displayed on their Android smartphone devices. We utilized an adaptive video selection strategy with the goal of enhancing QoE and user satisfaction in Video Streaming Attribute Selection (VSAS). We implemented a VSAS framework for video content selection algorithm in the intended model to map the video selection that best meets the user's streaming quality needs. In order to establish a baseline of satisfaction, the video selection is categorized. The Mean Opinion Score (MOS) was used to gauge whether users' acceptance could select the video attribute that achieves the video streaming quality to assess their satisfaction. The amount of streaming video will gradually be reduced to reflect the minimum amount of video users will reject based on video quality. The findings demonstrate that the suggested algorithm indicates that the user is satisfied with the video selection by modifying the video properties.

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