Multimedia Technologies in the Internet of Things Environment, Volume 2 (eBook)

Artikelnummer: 978-981-1638-28-2
Einband: PDF
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This book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IoT applications. This is a second volume by editors which provides theoretical and practical approach in the area of multimedia and IOT applications and performance analysis.  Further, multimedia communication, deep learning models to multimedia data, and the new (IOT) approaches are also covered. It addresses the complete functional framework in the area of multimedia data, IoT, and smart computing techniques. It bridges the gap between multimedia concepts and solutions by providing the current IOT frameworks, their applications in multimedia analysis, the strengths and limitations of the existing methods, and the future directions in multimedia IOT analytics.



This book proposes a comprehensive overview of the state-of-the-art research work on multimedia analysis in IoT applications. This is a second volume by editors which provides theoretical and practical approach in the area of multimedia and IOT applications and performance analysis.  Further, multimedia communication, deep learning models to multimedia data, and the new (IOT) approaches are also covered. It addresses the complete functional framework in the area of multimedia data, IoT, and smart computing techniques. It bridges the gap between multimedia concepts and solutions by providing the current IOT frameworks, their applications in multimedia analysis, the strengths and limitations of the existing methods, and the future directions in multimedia IOT analytics.



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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2021
Seitenangabe234 S.
AusgabekennzeichenEnglisch
AbbildungenXIV, 234 p. 76 illus., 63 illus. in color.
Masse5'769 KB
PlattformPDF
ReiheStudies in Big Data; Engineering; Engineering
AutorKumar, Raghvendra (Hrsg.) / Sharma, Rohit (Hrsg.) / Pattnaik, Prasant Kumar (Hrsg.)

Alle Bände der Reihe "Studies in Big Data; Engineering; Engineering (R0)"

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