Introduction.- Embedded Vision for the Internet of the Things:
State-of-the-Art.- Hardware, Software, and Network Models for
Deep-Learning Vision: A Survey.- Optimal Selection of Software and
Models for Visual Interference.- Relevant Hardware Metrics for
Performance Evaluation.- Prediction of Visual Interference Performance.-
A Case Study: Remote Animal Recognition.