Video subset selection for measurement based Worst Case Execution Time analysis

Abstract

Worst Case Execution Time (WCET) has traditionally approached problems with small, well defined input spaces. For processes with a large input space (such as video) existing techniques struggle to produce a meaningful result. This work investigates a technique that reduces the input space while still preserving execution time properties to allow subsequent WCET analysis to be more effective.