@inproceedings{40f64acb27ce451eb4031b89f9108d35,
title = "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,these tasks require significant energy to capture,process, and analyze images 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. Copyright is held by the owner/author(s). Publication rights licensed to ACM.",
keywords = "Computer Vision, Energy Efficiency, Image Sensors, Image Signal Processing, Mobile Systems, Operating Systems",
author = "Robert LiKamWa",
year = "2014",
month = jun,
day = "11",
doi = "10.1145/2611166.2611171",
language = "English (US)",
isbn = "9781450329408",
series = "MobiSys 2014 - PhD Forum 2014",
publisher = "Association for Computing Machinery",
pages = "9--10",
booktitle = "MobiSys 2014 - PhD Forum 2014",
address = "United States",
note = "2014 ACM MobiSys PhD Forum Workshop, PhD Forum 2014, Co-located with MobiSys 2014 ; Conference date: 16-06-2014 Through 16-06-2014",
}