Low-Power Computer Vision

Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.

# Advanced Neural Network Applications # Computer Science # Low-power high-performance VLSI design # Engineering # Advanced Vision and Imaging

George K. Thiruvathukal, Yung-Hsiang Lu, Jaeyoun Kim, et al. (2022). "Low-Power Computer Vision". Chapman & Hall/CRC eBooks. https://doi.org/10.1201/9781003162810