Multimodal Analytics for Next-Generation Big Data Technologies and Applications

by Kah Phooi Seng, Li-minn Ang, Alan Wee-Chung Liew, Junbin Gao

Overview

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

ISBN-13:	9783319975979
Publisher:	Springer International Publishing
Publication date:	07/18/2019
Edition description:	1st ed. 2019
Pages:	391
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

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