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 β noted experts on the topic β 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.