Extended abstract: efficient image processing for continuous mobile vision

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.