视频体验质量研究的自上而下和自下而上方法;概述和新模式建议

IF 2.4 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Kamil Koniuch, Sabina Baraković, J. Husić, Sruti Subramanian, Katrien De Moor, Lucjan Janowski, Michał Wierzchoń
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引用次数: 0

摘要

现代视频流媒体服务需要保证所提供视听材料的质量。质量保证机制允许流媒体平台提供足以让用户满意的质量水平,同时尽可能减少传输的数据量。目前已开发出多种措施和方法来控制视频质量,例如根据网络条件进行调整。其中包括客观的质量矩阵和通过主观感知判断确定的阈值。前一类矩阵最近得到了(多)媒体研究人员的关注。他们将这一研究领域称为 "体验质量"(QoE)。在本文中,我们在回顾以往 QoE 模型的基础上提出了一个理论模型。我们认为,大多数模型都是自下而上的建模方法。这些模型侧重于描述尽可能多的变量,但研究变量之间因果关系的能力有限;因此,研究结果在实践中的适用性有限。因此,为了推动这一领域的发展,我们提出了一种结构性的、自上而下的视频质量体验模型,该模型描述了变量之间的因果关系。这种新颖的自上而下模型可作为构建 QoE 实验的实用指南,确保以确证的方式纳入影响因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Top-down and bottom-up approaches to video quality of experience studies; overview and proposal of a new model
Modern video streaming services require quality assurance of the presented audiovisual material. Quality assurance mechanisms allow streaming platforms to provide quality levels that are considered sufficient to yield user satisfaction, with the least possible amount of data transferred. A variety of measures and approaches have been developed to control video quality, e.g., by adapting it to network conditions. These include objective matrices of the quality and thresholds identified by means of subjective perceptual judgments. The former group of matrices has recently gained the attention of (multi) media researchers. They call this area of study “Quality of Experience” (QoE). In this paper, we present a theoretical model based on review of previous QoE’s models. We argue that most of them represent the bottom-up approach to modeling. Such models focus on describing as many variables as possible, but with a limited ability to investigate the causal relationship between them; therefore, the applicability of the findings in practice is limited. To advance the field, we therefore propose a structural, top-down model of video QoE that describes causal relationships among variables. This novel top-down model serves as a practical guide for structuring QoE experiments, ensuring the incorporation of influential factors in a confirmatory manner.
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来源期刊
Frontiers in Computer Science
Frontiers in Computer Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.30
自引率
0.00%
发文量
152
审稿时长
13 weeks
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