Spike Coding: Towards Lossy Compression for Dynamic Vision Sensor

2019 Data Compression Conference (DCC) Pub Date : 2019-03-01 DOI:10.1109/DCC.2019.00084

Yihua Fu, Jianing Li, Siwei Dong, Yonghong Tian, Tiejun Huang

引用次数: 3

Abstract

Dynamic vision sensor (DVS) as a bio-inspired camera, has shown great advantages in high dynamic range (HDR) and high temporal resolution (us) in vision tasks. However, how to lossy compress asynchronous spikes for meeting the demand of large-scale transmission and storage meanwhile maintaining the analysis performance still remains open. Towards this end, this paper proposes a lossy spike coding framework for DVS.

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脉冲编码:动态视觉传感器的有损压缩

动态视觉传感器(DVS)作为一种仿生相机，在高动态范围(HDR)和高时间分辨率(us)的视觉任务中显示出巨大的优势。然而，如何对异步尖峰进行有损压缩以满足大规模传输和存储的需求，同时保持分析性能仍然是一个有待解决的问题。为此，本文提出了一种分布式交换机的有损尖峰编码框架。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 Data Compression Conference (DCC)

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