Multimodal Analytics for Next-generation Big Data Technologies and Applications

Seng, Kah Phooi (Editor)/ Ang, Li-minn (Editor)/ Liew, Alan Wee-chung (Editor)/ Gao, Junbin (Editor)

ISBN 10: 3319975978 / ISBN 13: 9783319975979

Published by Springer-Verlag New York Inc, 2019

About this Item

408 pages. 9.25x6.10x1.26 inches. In Stock.

Seller Inventory # x-3319975978

Bibliographic Details

• Title: Multimodal Analytics for Next-generation Big Data Technologies and Applications
• Publisher: Springer-Verlag New York Inc
• Publication Date: 2019
• Language: English
• ISBN 10: 3319975978
• ISBN 13: 9783319975979
• Binding: Hardcover
• Condition: Brand New

About this title

Synopsis

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.