Multimodal Analytics for Next-Generation Big Data Technologies and Applications

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.

List of contents

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

Summary

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.

Product details

• Assisted by: Li-min Ang (Editor), Li-minn Ang (Editor), Junbin Gao (Editor), Alan Wee-Chung Liew (Editor), Kah Phooi Seng (Editor), Alan Wee-Chung Liew et al (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.01.2019
• EAN: 9783319975979
• ISBN: 978-3-31-997597-9
• No. of pages: 391
• Dimensions: 171 mm x 243 mm x 63 mm
• Weight: 770 g
• Illustrations: XV, 391 p. 150 illus., 109 illus. in color.
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; B, Data Science, machine learning, Artificial Intelligence, computer science, Information Processing, Decision Making, Computational Intelligence, Image processing, speech processing, video processing