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Low-Power Computer Vision - Improve the Efficiency of Artificial Intelligence (Hardcover)
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.
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Product Description
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.
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Product Details
General
Imprint | Crc Press |
Country of origin | United Kingdom |
Series | Chapman & Hall/CRC Computer Vision |
Release date | February 2022 |
Availability | Expected to ship within 9 - 15 working days |
First published | 2022 |
Editors | George K. Thiruvathukal, Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen, Bo Chen |
Dimensions | 234 x 156 x 28mm (L x W x T) |
Format | Hardcover |
Pages | 416 |
ISBN-13 | 978-0-367-74470-0 |
Barcode | 9780367744700 |
Categories | |
LSN | 0-367-74470-8 |
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