학술논문

Visual Content-Agnostic Novelty Detection Engine with 2.4 pJ/pixel Energy and Two-Order of Magnitude DNN Activity Reduction in 40 nm
Document Type
Conference
Source
2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) VLSI Technology and Circuits (VLSI Technology and Circuits), 2023 IEEE Symposium on. :1-2 Jun, 2023
Subject
Components, Circuits, Devices and Systems
Visualization
Art
Pipelines
Very large scale integration
Streaming media
Complexity theory
Engines
computer vision
low power
neural net gating
Language
ISSN
2158-9682
Abstract
An engine to identify frames with novel content in a video stream is proposed as additional vision pipeline stage following conventional saliency detection. Based on connected component analysis with mean-center tracking, its complexity is reduced to linear compared to quadratic in prior art. This introduces frame-level temporal sparsity for subsequent DNN activity/power reduction (177X beyond saliency detection). 2.4 pJ/pixel energy is achieved in 40 nm.