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Joint Mobile-Cloud Video Stabilization
AbstractIn this work we analyze the complex trade-off between data transfer, computation time, and power consumption when a multi-stage data-intensive algorithm (in this case video stabilization) is split between a low power mobile device and high power cloud server. We evaluate design choices in terms of which intermediate representations should be transferred to the server and back to the mobile device, and present a graph-based solution that can update the optimal joint mobile-cloud computation separation as the hardware configuration or user's requirements change. The practices we employ in this work can be extended to other mobile computer vision applications.
Related Material
[pdf][bibtex]@InProceedings{Adesoye_2017_CVPR_Workshops,
author = {Adesoye, Gbolahan S. and Wang, Oliver},
title = {Joint Mobile-Cloud Video Stabilization},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {July},
year = {2017}
}
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