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Overview of full-reference video quality metrics and their performance evaluations for videoconferencing application

机译:视频会议应用全参考视频质量指标及其性能评估概述

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摘要

With the development of video services available on various devices (mobile, PC, tablet, television, etc.), the end user experiences and requirements have changed. Objective video quality assessment tools and metrics are increasingly complex and adapted to different types of service context. Compared with other reviews of quality metrics, the full-reference (FR) video quality metrics reviewed (particularly, ViS3, SSIMplus, video multimethod assessment fusion, and open perceptual video quality metric) are more recent and have not been compared with each other yet. We compare and evaluate the performance of 10 FR metrics with respect to their accuracy in predicting the subjective perceived quality for the videoconferencing application. Emphasis is given to the metrics evaluating the visual quality (from human perception). A detailed statistical study is carried out on four subjective databases: Ecole polytechnique federale de Lausanne database, live mobile database, and two Orange Lab databases, with a large sample of distortion types (transmission errors, encoding bit rates, etc.). (C) 2019 SPIE and IS&T
机译:随着可在各种设备(移动设备,PC,平板电脑,电视等)上使用的视频服务的发展,最终用户的体验和要求已经改变。客观的视频质量评估工具和指标日益复杂,并已适应不同类型的服务环境。与其他质量指标审核相比,所审查的全参考(FR)视频质量指标(尤其是ViS3,SSIMplus,视频多方法评估融合和开放感知视频质量指标)是较新的并且尚未相互比较。 。我们比较并评估了10个FR指标在预测视频会议应用程序的主观感知质量方面的准确性。重点是评估视觉质量的指标(来自人类的感知)。对四个主观数据库进行了详细的统计研究:洛桑联邦理工学院数据库,实时移动数据库和两个Orange Lab数据库,其中包含大量失真类型(传输错误,编码比特率等)的样本。 (C)2019 SPIE和IS&T

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