中文标题#
基於事件的可擴展視頻流傳輸用於具有 MoQ 的機器
英文标题#
Scalable Event-Based Video Streaming for Machines with MoQ
中文摘要#
有損壓縮和速率自適應流媒體是傳統視頻流的常用技術。 然而，一類新型的神經形態 "事件" 傳感器通過異步像素樣本記錄視頻，而不是圖像幀。 這些傳感器是為計算機視覺應用設計的，而不是人類視頻消費。 到目前為止，研究人員主要集中在應用開發上，忽略了數據傳輸的關鍵問題。 我們調查了基於事件的視頻系統現狀，討論了我們近期可擴展事件流工作中的技術問題，並提出了一種基於 Media Over QUIC 協議草案最新補充內容的新低延遲事件流格式。
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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