中文标题#
基于事件的可扩展视频流传输用于具有 MoQ 的机器
英文标题#
Scalable Event-Based Video Streaming for Machines with MoQ
中文摘要#
有损压缩和速率自适应流媒体是传统视频流的常用技术。 然而，一类新型的神经形态 "事件" 传感器通过异步像素样本记录视频，而不是图像帧。 这些传感器是为计算机视觉应用设计的，而不是人类视频消费。 到目前为止，研究人员主要集中在应用开发上，忽略了数据传输的关键问题。 我们调查了基于事件的视频系统现状，讨论了我们近期可扩展事件流工作中的技术问题，并提出了一种基于 Media Over QUIC 协议草案最新补充内容的新低延迟事件流格式。
英文摘要#
Lossy compression and rate-adaptive streaming are a mainstay in traditional video steams. However, a new class of neuromorphic ``event'' sensors records video with asynchronous pixel samples rather than image frames. These sensors are designed for computer vision applications, rather than human video consumption. Until now, researchers have focused their efforts primarily on application development, ignoring the crucial problem of data transmission. We survey the landscape of event-based video systems, discuss the technical issues with our recent scalable event streaming work, and propose a new low-latency event streaming format based on the latest additions to the Media Over QUIC protocol draft.
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