Multimodal Analytics for Next-Generation Big Data Technologies and Applications

1. Auflage 2019
ISBN: 978-3-319-97597-9
Verlag: Springer International Publishing

Buch, Englisch, 391 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 776 g

This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications.

The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.

Zielgruppe

Research

Autoren/Hrsg.

Seng, Kah Phooi

Gao, Junbin

Ang, Li-minn

Liew, Alan Wee-Chung

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

Foundations and Principles.- Advanced Information and Knowledge Processing.- Advanced Models and Architectures.- Advanced Applications and Future Trends.