Energy-Quality Scalable Memory-Frugal Feature Extraction for Always-On Deep Sub-mW Distributed Vision

Energy-Quality Scalable Memory-Frugal Feature Extraction for Always-On Deep Sub-mW Distributed Vision

In this work, an energy-quality (EQ) scalable and memory-frugal architecture for video feature extraction is introduced to reduce circuit complexity, power and silicon area. Leveraging on the inherent resiliency of vision against noise and inaccuracies, the proposed approach introduces properly sele...

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Bibliographic Details
Main Authors: Anastacia Alvarez, Gopalakrishnan Ponnusamy, Massimo Alioto
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Low-power
energy-quality scaling
vision
video processing
feature extraction
Internet of Things
Online Access:https://ieeexplore.ieee.org/document/8966284/

Internet

https://ieeexplore.ieee.org/document/8966284/

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