HARP: Hierarchical Attention Oriented Region-Based Processing for High-Performance Computation in Vision Sensor.

ABSTRACT: Cameras are widely adopted for high image quality with the rapid advancement of complementary metal-oxide-semiconductor (CMOS) image sensors while offloading vision applications' computation to the cloud. It raises concern for time-critical applications such as autonomous driving, surveillance, and defense systems since moving pixels from the sensor's focal plane are expensive. This paper presents a hardware architecture for smart cameras that understands the salient regions from an image frame and then performs high-level inference computation for sensor-level information creation instead of transporting raw pixels. A visual attention-oriented computational strategy helps to filter a significant amount of redundant spatiotemporal data collected at the focal plane. A computationally expens

SUBMITTER: Bhowmik P 

PROVIDER: S-EPMC7961745 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature