Intelligent Multi-Modal Data Processing (The Wiley Series in Intelligent Signal and Data Processing) - Hardcover

Hardcover

ISBN 10: 1119571383 ISBN 13: 9781119571384

Publisher: Wiley, 2021

Synopsis

A comprehensive review of the most recent applications of intelligent multi-modal data processing

Intelligent Multi-Modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors – noted experts on the topic – offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how to implement various statistical theories. Intelligent Multi-Modal Data Processing is an authoritative guide for developing innovative research ideas for interdisciplinary research practices.

Designed as a practical resource, the book contains tables to compare statistical analysis results of a novel technique to that of the state-of-the-art techniques and illustrations in the form of algorithms to establish a pre-processing and/or post-processing technique for model building. The book also contains images that show the efficiency of the algorithm on standard data set. This important book:

Includes an in-depth analysis of the state-of-the-art applications of signal and data processing

Contains contributions from noted experts in the field

Offers information on hybrid differential evolution for optimal multilevel image thresholding

Presents a fuzzy decision based multi-objective evolutionary method for video summarisation

Written for students of technology and management, computer scientists and professionals in information technology, Intelligent Multi-Modal Data Processing brings together in one volume the range of multi-modal data processing.

About this title

About the Author

Soham Sarkar, PhD, is an Assistant Professor in the Department of Electronics and Communication Engineering of RCC Institute of Information Technology, Kolkata, India.

Abhishek Basu, PhD, is an Assistant Professor and former Head of the Department of Electronics and Communication Engineering department of RCC Institute of Information Technology, Kolkata, India.

Siddhartha Bhattacharyya, PhD, is a Professor of Computer Science and Engineering at CHRIST (Deemed to be University), Bangalore, India.

From the Back Cover

A comprehensive review of the most recent applications of intelligent multi-modal data processing

Intelligent Multi-modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors – noted experts on the topic – offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how to implement them. Intelligent Multi-modal Data Processing is an authoritative guide for developing innovative research ideas for interdisciplinary research practices.

Designed as a practical resource, the book contains tables to compare statistical analysis results of a novel technique to that of the state-of-the-art techniques and illustrations in the form of algorithms to establish a pre-processing and/or post-processing technique for model building. The book also contains images that show the efficiency of the algorithm on standard data set. This important book:

• Includes an in-depth analysis of the state-of-the-art applications of signal and data processing
• Contains contributions from noted experts in the field
• Offers information on digital watermarking techniques for image copyright information
• Presents applications of recent techniques such as IoT, Machine Learning, and Deep Learning for Data Processing

Written for students of technology and management, computer scientists and professionals in information technology, Intelligent Multi-modal Data Processing brings together in one volume the range of multi-modal data processing.

From the Inside Flap

A comprehensive review of the most recent applications of intelligent multi-modal data processing

Intelligent Multi-modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors – noted experts on the topic – offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how to implement them. Intelligent Multi-modal Data Processing is an authoritative guide for developing innovative research ideas for interdisciplinary research practices.

Designed as a practical resource, the book contains tables to compare statistical analysis results of a novel technique to that of the state-of-the-art techniques and illustrations in the form of algorithms to establish a pre-processing and/or post-processing technique for model building. The book also contains images that show the efficiency of the algorithm on standard data set. This important book:

• Includes an in-depth analysis of the state-of-the-art applications of signal and data processing
• Contains contributions from noted experts in the field
• Offers information on digital watermarking techniques for image copyright information
• Presents applications of recent techniques such as IoT, Machine Learning, and Deep Learning for Data Processing

Written for students of technology and management, computer scientists and professionals in information technology, Intelligent Multi-modal Data Processing brings together in one volume the range of multi-modal data processing.

Edition details

• Publisher: Wiley
• Publication date: 2021
• ISBN 10: 1119571383
• ISBN 13: 9781119571384
• Binding: Hardcover
• Language: English
• Edition number: 1
• Number of pages: 288
• Editor: Sarkar Soham, Basu Abhishek, Bhattacharyya Siddhartha