Molnar Gabor, Ferreira Pires Luís, de Boer Oscar, Kovaleva Vera
ATLAS Institute, University of Colorado, Boulder, CO, United States.
Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands.
Front Artif Intell. 2024 Apr 8;7:1281110. doi: 10.3389/frai.2024.1281110. eCollection 2024.
Video service providers are moving from focusing on Quality of Service (QoS) to Quality of Experience (QoE) in their video networks since the users' demand for high-quality video content is continually growing. By focusing on QoE, video service providers can provide their subscribers with a more personalized and engaging experience, which can help increase viewer satisfaction and retention. This focus shift requires not only a more sophisticated approach to network management and new tools and technologies to measure and optimize QoE in their networks but also a novel approach to video delivery operations.
This paper describes the components, interactions, and relationships of an algorithm factory for video delivery operation that assures high QoE for video streaming services. The paper also showcases the results of gradually implementing an algorithm factory in the video industry. Using a dataset from 2016 to 2022, we present the case of a European PayTV service provider that achieved improved performance measured by both objective and subjective metrics.
The use of an algorithm factory significantly improved the PayTV service provider's performance. The study found a fivefold increase in the speed of critical incident resolution and a 59% reduction in the number of critical incidents, all while expanding the customer base and maintaining the same level of labor resources. The case also demonstrates a strong positive relation between the productivity measures of the PayTV operator and their survey-based quality ratings. These results underscore the importance of flawless QoS and operational excellence in delivering QoE to meet the evolving demands of viewers.
The paper adds to the existing literature on relationships between operational efficiency, innovation, and subjective quality. The paper further offers empirical evidence from the PayTV industry. The insights provided are expected to benefit both traditional and over-the-top (OTT) video service providers in their quest to stay ahead in the rapidly evolving video industry. It may also translate to other service providers in similar industries committed to supporting high-quality service delivery.
随着用户对高质量视频内容的需求持续增长，视频服务提供商正将其视频网络的重点从关注服务质量（QoS）转向体验质量（QoE）。通过关注QoE，视频服务提供商可以为其订阅者提供更个性化、更具吸引力的体验，这有助于提高观众满意度和留存率。这种重点的转变不仅需要更复杂的网络管理方法以及用于测量和优化其网络中QoE的新工具和技术，还需要一种新颖的视频交付运营方法。
本文描述了一个用于视频交付运营的算法工厂的组件、交互和关系，该算法工厂可确保视频流服务的高QoE。本文还展示了在视频行业逐步实施算法工厂的结果。使用2016年至2022年的数据集，我们介绍了一家欧洲付费电视服务提供商的案例，该提供商在客观和主观指标方面都实现了性能提升。
算法工厂的使用显著提高了付费电视服务提供商的性能。研究发现，关键事件解决速度提高了五倍，关键事件数量减少了59%，同时扩大了客户群并维持了相同水平的劳动力资源。该案例还表明，付费电视运营商的生产力指标与其基于调查的质量评级之间存在很强的正相关关系。这些结果强调了在提供QoE以满足观众不断变化的需求方面，完美的QoS和卓越运营的重要性。
本文补充了关于运营效率、创新和主观质量之间关系的现有文献。本文还提供了来自付费电视行业的实证证据。预计所提供的见解将使传统和OTT（过顶）视频服务提供商在快速发展的视频行业中保持领先地位的努力中受益。它也可能适用于其他致力于支持高质量服务交付的类似行业的服务提供商。
