@inproceedings{8049f92d05904fb9952e9f28738e5dd8,
title = "Poster: Retrofitting computer vision libraries for concurrent support on mobile devices",
abstract = "While computer vision algorithms and libraries have enabled and accelerated the adoption of vision processing into mobile and wearable applications, vision is a resource-hungry operation, and is thus not efficient enough to run on multiple applications simultaneously. However, we observe that many vision algorithms share identical sets of frames and features to perform their analyses, computed from the same library calls. Leveraging this observation, we design a split-process architecture to retrofit existing vision libraries to allow applications to transparently share the computational, memory, and energy overhead of vision processing.",
keywords = "Remote execution, Shared memory management, Split-process",
author = "Robert LiKamWa and Eddie Reyes and Lin Zhong",
note = "Publisher Copyright: {\textcopyright} 2014 by the Association for Computing Machinery, Inc. (ACM).; 20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2014 ; Conference date: 07-09-2014 Through 11-09-2014",
year = "2014",
month = sep,
day = "7",
doi = "10.1145/2639108.2642891",
language = "English (US)",
series = "Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM",
publisher = "Association for Computing Machinery",
pages = "387--389",
booktitle = "MobiCom 2014 - Proceedings of the 20th Annual",
address = "United States",
}