实时过滤直播视频中不当内容，仅移除问题片段，恢复快、延迟低。
Toward Accessible and Safe Live Streaming Using Distributed Content Filtering with MoQ
- 利用分布式客户端分析内容，按需过滤违规视频段
- 仅移除问题片段，流恢复延迟不超过一个GOP时长
- 适合对延迟敏感的直播平台和内容安全场景
直播视频在社交媒体平台日益流行，随之而来的是对内容审核的更高需求。与点播视频可离线分析不同，直播对分析与分发的延迟要求严苛。本文提出对正在进行的Media Over QUIC传输协议的扩展，实现一对多直播流中的实时内容审核。关键在于，系统仅移除包含不当内容的视频段，一旦流符合政策即可立即恢复播放。内容分析任务可透明地分发至任意客户端设备。我们在针对光敏患者进行闪烁光去除的场景中实现了该系统并进行了评估，结果显示客户端延迟增加仅相当于一个组图片（GOP）时长。
原文摘要 · Abstract (English)
Live video streaming is increasingly popular on social media platforms. With the growth of live streaming comes an increased need for robust content moderation to remove dangerous, illegal, or otherwise objectionable content. Whereas video on demand distribution enables offline content analysis, live streaming imposes restrictions on latency for both analysis and distribution. In this paper, we present extensions to the in-progress Media Over QUIC Transport protocol that enable real-time content moderation in one-to-many video live streams. Importantly, our solution removes only the video segments that contain objectionable content, allowing playback resumption as soon as the stream conforms to content policies again. Content analysis tasks may be transparently distributed to arbitrary client devices. We implement and evaluate our system in the context of light strobe removal for photosensitive viewers, finding that streaming clients experience an increased latency of only one group-of-pictures duration.
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