中文标题#
adder-viz：转码事件视频的实时可视化软件
英文标题#
adder-viz: Real-Time Visualization Software for Transcoding Event Video
中文摘要#
近年来，神经形态 “事件” 视频研究出现了激增，主要针对计算机视觉应用。 事件视频摒弃了视频帧，转而采用异步的、每个像素的强度样本。 虽然许多工作集中在特定事件相机的少数表示上，但这些表示在灵活性、速度和可压缩性方面显示出局限性。 我们之前提出了统一的 ADDER 表示来解决这些问题。 本文介绍了对 adder-viz 软件的多项改进，用于可视化实时事件转码过程和在环的应用。 该 MIT 许可证的软件可从中央仓库获取，网址为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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