Exploiting natural redundancy in visual information

Chris S. Lee, Kevin M. Irick, Jack Sampson, Chuanjun Zhang, Vijaykrishnan Narayanan

Abstract: This work proposes an adaptive architecture for a neuro-inspired vision pipeline that uses a data driven approach to dynamic configuration and optimization of the underlying computational fabric. The micro-architecture allows the adaptation mechanism to be tuned for changing system objectives that cross-cut accuracy, power consumption, and throughput constraints.