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Temporal-Spatial Processing of Event Camera Data via Delay-Loop Reservoir Neural Network
March 27, 2024, 4:42 a.m. | Richard Lau, Anthony Tylan-Tyler, Lihan Yao, Rey de Castro Roberto, Robert Taylor, Isaiah Jones
cs.LG updates on arXiv.org arxiv.org
Abstract: This paper describes a temporal-spatial model for video processing with special applications to processing event camera videos. We propose to study a conjecture motivated by our previous study of video processing with delay loop reservoir (DLR) neural network, which we call Temporal-Spatial Conjecture (TSC). The TSC postulates that there is significant information content carried in the temporal representation of a video signal and that machine learning algorithms would benefit from separate optimization of the spatial …
abstract applications arxiv call conjecture cs.cv cs.lg data delay event loop network neural network paper processing spatial study temporal type via video video processing videos
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