Multimodal Analytics for Next-Generation Big Data Technologies and Applications
by: Kah Phooi Seng
ISBN-10: 3319975978
ISBN-13: 9783319975979
Edition 版本: 1st ed. 2019
Released: 2019-07-18
Pages: 391 pages
Book Description
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.
Part l. Introduction
1. Multimodal Information Processing and Big Data Analytics in a Digital World
Part ll. Sentiment,Affect and Emotion Analysis for Big Multimodal Data
2. Speaker-Independent Multimodal Sentiment Analysis for Big Data
3. Multimodal Big Data Affective Analytics
4. Hybrid Feature-Based Sentiment Strength Detection for Big Data Applications
Part ll. Unsupervised Learning Strategies for Big Multimodal Data
5. Multimodal Co-clustering Analysis of Big Data Based on Matrix and Tensor Decomposition
6. Bi-clustering by Multi-objective Evolutionary Algorithm for Multimodal Analytics and Big Data
7. Unsupervised Learning on Grassmann Manifolds for Big Data
Part lV. Supervised Learning Strategies for Big Multimodal Data
8. Multi-product Newsvendor Model in Multi-task Deep Neural Network with Norm Regularization for Big Data
9. Recurrent Neural Networks for Multimodal Time Series Big Data Analytics
10. Scalable Multimodal Factorization for Learning from Big Data
Part V. Multimodal Big Data Processing and Applications
11. Big Multimodal Visual Data Registration for Digital Media Production
12.A Hybrid Fuzzy Football Scenes Classification System for Big Video Data
13. Multimodal Big Data Fusion for Trafic Congestion Prediction
14. Parallel and Distributed Computing for Processing Big Image and Video Data
15. Multimodal Approaches in Analysing and Interpreting Big Social Media Data
