中文标题#
adder-viz：轉碼事件視頻的實時可視化軟件
英文标题#
adder-viz: Real-Time Visualization Software for Transcoding Event Video
中文摘要#
近年來，神經形態 “事件” 視頻研究出現了激增，主要針對計算機視覺應用。 事件視頻摒棄了視頻幀，轉而採用異步的、每個像素的強度樣本。 雖然許多工作集中在特定事件相機的少數表示上，但這些表示在靈活性、速度和可壓縮性方面顯示出局限性。 我們之前提出了統一的 ADDER 表示來解決這些問題。 本文介紹了對 adder-viz 軟件的多項改進，用於可視化實時事件轉碼過程和在環的應用。 該 MIT 許可證的軟件可從中央倉庫獲取，網址為https://github.com/ac-freeman/adder-codec-rs。
英文摘要#
Recent years have brought about a surge in neuromorphic ``event'' video research, primarily targeting computer vision applications. Event video eschews video frames in favor of asynchronous, per-pixel intensity samples. While much work has focused on a handful of representations for specific event cameras, these representations have shown limitations in flexibility, speed, and compressibility. We previously proposed the unified ADDER representation to address these concerns. This paper introduces numerous improvements to the adder-viz software for visualizing real-time event transcode processes and applications in-the-loop. The MIT-licensed software is available from a centralized repository at https://github.com/ac-freeman/adder-codec-rs.
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