对使用算法工厂用于视频交付操作的经验评估
Gabor Molnar1, Luís Ferreira Pires2, Oscar de Boer3
1ATLAS Institute, University of Colorado, Boulder, CO, United States.
Frontiers in artificial intelligence
|April 23, 2024
概括
实施用于视频交付操作的算法工厂显著提高了付费电视提供商的业绩. 这导致了更快的事件解决和更少的关键事件,提高了整体体验质量 (QoE).
科学领域:
- 视频交付操作视频交付操作
- 网络管理 网络管理
- 经验的质量 (QoE)
背景情况:
- 越来越多的人对高质量的视频内容的需求将重点从服务质量 (QoS) 转移到体验质量 (QoE).
- 这种转变需要先进的网络管理,新的QOE测量工具和新的视频传输操作.
研究的目的:
- 描述用于视频交付操作的算法工厂,确保高QOE.
- 在视频行业展示算法工厂的实施.
- 提供经验证据,证明了性能指标的改进.
主要方法:
- 开发和实施用于视频交付的算法工厂.
- 对2016年至2022年欧洲付费电视服务提供商数据的分析.
- 使用客观和主观指标来衡量绩效.
主要成果:
- 关键事件解决速度增加了五倍.
- 在关键事件中减少了59%.
- 运营生产率与客户评价质量之间的正相关性.
结论:
- 算法工厂实施显著提高了运营效率和QOE.
- 运营卓越对于满足视频行业不断变化的观众需求至关重要.
- 调查结果适用于传统,OTT和类似的服务提供商.
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