adder-viz: Real-Time Visualization Software for Transcoding Event Video

TL;DR

adder-viz is a software tool that visualizes real-time event video transcoding, improving flexibility, speed, and compressibility in neuromorphic event-based vision applications.

Contribution

The paper presents enhancements to adder-viz, a software for real-time visualization of event video transcoding, with improvements for in-the-loop applications.

Findings

Enhanced real-time visualization capabilities

Improved flexibility and speed in event video processing

Open-source software available for community use

Abstract

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.