Formulation and practical solution for the optimization of memory accesses in embedded vision systems

The design of embedded vision systems carries a difficult challenge regarding the access times of memories holding image data for some particular cases of image treatments. This paper studies the optimization challenge reflecting the efficient operation of adhoc memory systems proposed by electronic designers to alleviate this problem. New algorithms are proposed for producing solutions to this 3-objective problem, and numerical experiments are conducted on real-world data for validating their efficiency.