Empirical impact of cache effects for vision system design

Tweed, D. and Ferryman, J. (2008) Empirical impact of cache effects for vision system design. In: 5th International Conference on Visual Information Engineering (VIE 2008), Xian, China.

Abstract/Summary

Computer vision applications generally split their problem into multiple simpler tasks. Likewise research often combines algorithms into systems for evaluation purposes. Frameworks for modular vision provide interfaces and mechanisms for algorithm combination and network transparency. However, these don’t provide interfaces efficiently utilising the slow memory in modern PCs. We investigate quantitatively how system performance varies with different patterns of memory usage by the framework for an example vision system.