Publication
Remote Execution vs. Simplification for Mobile Real-time Computer Vision
Philipp Hasper; Nils Petersen; Didier Stricker
In: Proceedings of the 9th International Conference on Computer Vision Theory and Applications. International Conference on Computer Vision Theory and Applications (VISAPP-2014), 9th, January 5-8, Lissabon, Portugal, SCITEPRESS - Science and and Technology Publications, 2014.
Abstract
Mobile implementations of computationally complex algorithms are often prohibitive due to performance
constraints. There are two possible solutions for this: (1) adopting a faster but less powerful approach which
results in a loss of accuracy or robustness. (2) using remote data processing which suffers from limited bandwidth
and communication latencies and is difficult to implement in real-time interactive applications.
Using the example of a mobile Augmented Reality application, we investigate those two approaches and compare
them in terms of performance. We examine different workload balances ranging from extensive remote
execution to pure onboard processing. The performance behavior is systematically analyzed under different
network qualities and device capabilities. We found that even with a fast network connection, optimizing for
maximum offload (thin-client configuration) is at a disadvantage compared to splitting the workload between
remote system and client. Compared to remote execution, a simplified onboard algorithm is only preferable if
the classification data set is below a certain size.