MMCVJan 30, 2024

An Open Software Suite for Event-Based Video

arXiv:2401.17151v11 citationsh-index: 4MMSys
Originality Incremental advance
AI Analysis

This provides a tool for researchers working with event-based video, but it is incremental as it focuses on software implementation rather than novel algorithms.

The paper tackles the lack of a cohesive software framework for event-based video, a new paradigm with asynchronous pixel samples, by presenting the AD$Δ$ER software suite, which includes utilities for transcoding, compression, and application support.

While traditional video representations are organized around discrete image frames, event-based video is a new paradigm that forgoes image frames altogether. Rather, pixel samples are temporally asynchronous and independent of one another. Until now, researchers have lacked a cohesive software framework for exploring the representation, compression, and applications of event-based video. I present the AD$Δ$ER software suite to fill this gap. This framework includes utilities for transcoding framed and multimodal event-based video sources to a common representation, rate control mechanisms, lossy compression, application support, and an interactive GUI for transcoding and playback. In this paper, I describe these various software components and their usage.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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