
Intelligent Multi-Modal Data Processing
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Intelligent Multi-Modal Data Processing
About this book
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:
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.
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Information
Table of contents
- Cover
- Table of Contents
- Title Page
- Copyright
- Dedication
- List of contributors
- Series Preface
- Preface
- About the Companion Website
- 1 Introduction
- 2 Progressive Performance of Watermarking Using Spread Spectrum Modulation
- 3 Secured Digital Watermarking Technique and FPGA Implementation
- 4 Intelligent Image Watermarking for Copyright Protection
- 5 Video Summarization Using a Dense Captioning (DenseCap) Model
- 6 A Method of Fully Autonomous Driving in Self-Driving Cars Based on Machine Learning and Deep Learning
- 7 The Problem of Interoperability of Fusion Sensory Data from the Internet of Things
- 8 Implementation of Fast, Adaptive, Optimized Blind Channel Estimation for Multimodal MIMO-OFDM Systems Using MFPA
- 9 Spectrum Sensing for Cognitive Radio Using a Filter Bank Approach
- 10 Singularity Expansion Method in Radar Multimodal Signal Processing and Antenna Characterization
- 11 Conclusion
- Index
- End User License Agreement
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