Low-Power Computer Vision : Improve the Efficiency of Artificial Intelligence
Book Details
Format
Paperback / Softback
Book Series
Chapman & Hall/CRC Computer Vision
ISBN-10
0367755289
ISBN-13
9780367755287
Publisher
Taylor & Francis Ltd
Imprint
Chapman & Hall/CRC
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Oct 4th, 2024
Print length
438 Pages
Weight
725 grams
Product Classification:
Internet and digital media: arts and performanceEnergyEngineering: generalErgonomicsEnergy technology & engineeringEnergy technology and engineeringElectrical engineeringElectronics engineeringAutomatic control engineeringCommunications engineering / telecommunicationsDigital and Information technology: general topicsInformation technology: general issuesGraphical & digital media applicationsMobile & handheld device programming / Apps programmingMobile and handheld device programming / Apps programmingComputer networking & communicationsComputer networking and communicationsComputer scienceMathematical theory of computationComputer architecture & logic designComputer architecture and logic designMachine learningNeural networks & fuzzy systemsNeural networks and fuzzy systemsPattern recognitionComputer visionImage processing
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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.
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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