March 14, 2024, 4:45 a.m. | Daniel C. Stumpp, Himanshu Akolkar, Alan D. George, Ryad Benosman

cs.CV updates on

arXiv:2403.08086v1 Announce Type: new
Abstract: As the use of neuromorphic, event-based vision sensors expands, the need for compression of their output streams has increased. While their operational principle ensures event streams are spatially sparse, the high temporal resolution of the sensors can result in high data rates from the sensor depending on scene dynamics. For systems operating in communication-bandwidth-constrained and power-constrained environments, it is essential to compress these streams before transmitting them to a remote receiver. Therefore, we introduce a …

abstract arxiv cameras compression data event flow neuromorphic sensor sensors temporal type vision visual

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