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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
Published on: December 3, 2013
Focal-plane change triggered video compression for low-power vision sensor systems
Yu M Chi1, Ralph Etienne-Cummings, Gert Cauwenberghs
1Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, California, United States of America. mikechi2@gmail.com
This study presents energy-efficient video compression for CMOS image sensors using focal-plane change detection. This method significantly reduces power consumption and data processing for surveillance systems.
Area of Science:
- Computer Vision
- Image Processing
- Low-Power Electronics
Background:
- Embedded video compression in sensors saves transmission energy but increases encoder energy costs.
- Existing methods often lack efficiency for dynamic visual scenes.
Purpose of the Study:
- To develop and analyze energy-efficient video compression architectures for CMOS image sensors.
- To leverage focal-plane change detection for optimized video compression.
Main Methods:
- Implementing pixel-level computational circuits for selective processing.
- Utilizing temporal intensity change detection to gate a differential DCT-based encoder.
Main Results:
- Achieved nearly identical image quality (4dB PSNR decrease) compared to traditional systems.
- Reduced data processed by 67% and overall power consumption by 51%.
Conclusions:
- Focal-plane change triggered compression offers substantial energy savings for surveillance vision systems.
- The proposed architecture effectively exploits scene motion sparsity for efficiency.
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