Low-power computer vision : improve the efficiency of artificial intelligence

Low-power computer vision improve the efficiency of artificial intelligence

"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 solut...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Weitere Verfasser: Thiruvathukal, George K. (HerausgeberIn), Lu, Yung-Hsiang (HerausgeberIn), Kim, Jaeyoun (HerausgeberIn), Chen, Yiran (HerausgeberIn), Chen, Bo (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Boca Raton, London, New York CRC Press, Taylor & Francis Group 2022
Ausgabe:First edition
Schlagworte:
Computer vision > Low voltage systems > Niederspannung > Computervision
Online Zugang:Inhaltsverzeichnis
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Beschreibung
Zusammenfassung:"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"--
Beschreibung:Includes bibliographical references (page 327-402) and index
Beschreibung:xxi, 413 Seiten
Diagramme
ISBN:9780367744700
978-0-367-74470-0
9780367755287
978-0-367-75528-7