Measurement of Objective Video Quality in Social Cloud Based on Reference Metric

Sajida Karim,Hui He,A R Junejo,Mariyam Sattar

doi:10.1155/2020/5028132

Abstract

This paper explores the objective of the present video quality analysis (VQA) and measures the full reference metrics keeping in view the quality degradation. During the research work, we conduct experiments on different social clouds (SCs) and low-quality videos. Selected videos are uploaded to SC to assess differences in video service and quality. WeChat shows that the average of all videos (Avg = 100), peak signal-to-noise ratio (PSNR), has no impact on other indicators. Therefore, we believe that WeChat provides the best video quality and multimedia services to their users to meet Quality of Service (QoS)/Quality of Experience (QoE).

Highlights

IntroductionThe number of social clouds (SCs) has exceeded the number of multimedia services, and the number of users joining the SC has increased dramatically. is is because video access from the cloud such as video on demand (VOD), online video gaming, streaming multimedia, Internet protocol television (IPTV), video conferencing, and social networking has been widely used all over the world
Our focus is on the object video quality (OVQ) model reflecting the fact that quality models can be measured objectively but do not work together because OVQ is free from human interpretations, and it is considering a part in subjective quality assessment techniques
To collect the objective video quality analysis and results, in the first step, we measured the original video parameters by using VLC (Video LAN Client) media player [34]. e VLC extracted the detailed information of each video file in technical parameters. e screenshots of original videos and technical parameters are given in Figure 2 and Table 3

Summary

Introduction

The number of social clouds (SCs) has exceeded the number of multimedia services, and the number of users joining the SC has increased dramatically. is is because video access from the cloud such as video on demand (VOD), online video gaming, streaming multimedia, Internet protocol television (IPTV), video conferencing, and social networking has been widely used all over the world. Multimedia service providers (MSPs) devise various approaches and techniques to provide a better QoE that is diversely improved by the user experiences. Video QA methods can be measured both objectively using mathematical models and subjectively involving user perceptions. Our focus is on the object video quality (OVQ) model reflecting the fact that quality models can be measured objectively but do not work together because OVQ is free from human interpretations, and it is considering a part in subjective quality assessment techniques. Guaranteed QoS and improved quality (video) of user experience is a challenge for service providers because HD videos contain high data size and occupy more storage at cloud site, and during uploading, it requires high network bandwidth to transfer these files on the cloud server.

Literature Review

Methods show better performance than RMSE

Proposed Technique

Conclusion