Motion Based Reference-Free Quality Estimation for H.264/AVC Video Streaming

M. Ries, O. Nemethova, Markus Rupp
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引用次数: 45

Abstract

The scope of this paper is the estimation of subjective video quality for low resolution video sequences as they are typical for mobile video streaming. Although the video quality experienced by users depends on spatial (edges, colors, ...) and more considerably on temporal (movement speed, direction, ...) features of the video sequence, most of the proposed methods are based on spatial features. This paper presents a new reference free approach for quality estimation based on motion character. The character of motion is determined by the amount and direction of the motion between two scene changes. In this paper, the design of a universal reference-free video quality metric is presented. The design of the quality metric is based on content adaptive parameters, allowing for content dependent video quality estimation. The performance of the proposed universal metric was evaluated with various video content types and compressions settings. The results show that the proposed approach provides powerful means of estimating the video quality experienced by users for low resolution video streaming services
基于运动的H.264/AVC视频流无参考质量估计
本文的范围是对低分辨率视频序列的主观视频质量的估计,因为它们是典型的移动视频流。尽管用户体验到的视频质量取决于视频序列的空间(边缘、颜色等)和时间(运动速度、方向等)特征,但大多数提出的方法都是基于空间特征的。提出了一种基于运动特征的无参考质量估计方法。运动的性质是由两个场景变化之间的运动的数量和方向决定的。本文提出了一种通用的无参考视频质量度量的设计方法。质量度量的设计基于内容自适应参数,允许基于内容的视频质量估计。用不同的视频内容类型和压缩设置来评估所提出的通用度量的性能。结果表明,该方法为低分辨率视频流服务用户体验的视频质量估计提供了强有力的手段
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