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Low-power computer vision : improve the efficiency of artificial intelligence / edited by George K. Thiruvathukal, Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen, Bo Chen.

By: Contributor(s): Material type: TextTextPublication details: Boca Raton CRC Press 2022Edition: First editionDescription: pages cmISBN:
  • 9780367744700
  • 9780367755287
Subject(s): DDC classification:
  • 006.37 23/eng/20211028 THI
Summary: "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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Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computer Science Reference Dept. of Computer Science 006.37 THI (Browse shelf(Opens below)) Available DCS5044

Includes bibliographical references and index.

"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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