Extended abstract: efficient image processing for continuous mobile vision

R. Likamwa
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引用次数: 1

Abstract

Vision algorithms have enabled our camera-equipped devices to perform powerful tasks, including barcode scanning, object detection, text recognition, and face identification. Unfortunately, current systems require significant energy to capture, process, and analyze an image through the image sensor (imager), image signal processor (ISP), and application processor, limiting the longevity of such applications to short-term, on-demand use. We propose the investigation of an image processing paradigm that uses vision task information to optimize the energy cost of the image capture pipeline.
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扩展摘要:面向连续移动视觉的高效图像处理
视觉算法使我们配备摄像头的设备能够执行强大的任务,包括条形码扫描,对象检测,文本识别和面部识别。不幸的是,当前的系统需要大量的能量来通过图像传感器(imager)、图像信号处理器(ISP)和应用处理器来捕获、处理和分析图像,这限制了此类应用的寿命,只能短期按需使用。我们建议研究一种使用视觉任务信息来优化图像捕获管道能量成本的图像处理范式。
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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