论文标题
短形式视频流的网络感知预取方法
Network-aware Prefetching Method for Short-Form Video Streaming
论文作者
论文摘要
近年来，Tiktok等短形式视频平台的升高。除了传统的视频外，短形式的视频短得多，用户经常更改要观看的内容。因此，对于这种新型视频，拥有有效的流媒体方法至关重要。在本文中，我们提出了一种用于短形式视频流的资源有效的预取方法。考虑到网络吞吐条件和用户查看行为，提出的方法会动态调整预取的视频数据的数量。实验结果表明，与其他现有方法相比，我们的方法可以将数据浪费减少37至52％。
Recent years have witnessed the rising of short-form video platforms such as TikTok. Apart from conventional videos, short-form videos are much shorter and users frequently change the content to watch. Thus, it is crucial to have an effective streaming method for this new type of video. In this paper, we propose a resource-efficient prefetching method for short-form video streaming. Taking into account network throughput conditions and user viewing behaviors, the proposed method dynamically adapts the amount of prefetched video data. Experiment results show that our method can reduce the data waste by 37~52% compared to other existing methods.
