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.

A comprehensive review of the most recent applications of intelligent multi-modal data processingIntelligent 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 summarisationWritten 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.

DedicationPrefaceChapter 1 IntroductionSoham Sarkar, RCC Institute of Information Technology, IndiaAbhishek Basu, RCC Institute of Information Technology, IndiaSiddhartha Bhattacharyya, RCC Institute of Information Technology, IndiaChapter 2 Progressive Performance of Watermarking Using Spread Spectrum ModulationArunothpol Debnath, RCC Institute of Information Technology, IndiaAnirban Saha, Supreme Knowledge Foundation Group of Institutions Purulia, IndiaTirtha Sankar Das, Ramkrishna Mahato Government Engineering College, IndiaAbhishek Basu, RCC Institute of Information Technology, IndiaAvik Chattopadhyay, University of Calcutta, IndiaChapter 3 Secured Digital Watermarking Technique and FPGA ImplementationRanit Karmakar, Michigan Technological University, USAZinia Haque, NB Institute for Rural Technology, IndiaTirtha Sankar Das, Ram Krishna Mahato Government Engineering College Purulia, IndiaRajeev Kamal, Dayananda Sagar University School of Engineering, IndiaChapter 4 Intelligent Image Watermarking for Copyright ProtectionSubhrajit Sinha Roy, RCC Institute of Information Technology, IndiaAbhishek Basu, RCC Institute of Information Technology, IndiaAvik Chattopadhyay, University of Calcutta, IndiaChapter 5 Video Summarization using Dense Captioning ModelArindm Kundu1, Capgemini, IndiaSourav Das, National Institute of Electronics and Information Technology (NIELIT) Kolkata, IndiaAnup Kumar Kolya, RCC Institute of Information Technology, IndiaChapter 6 A method of fully Autonomous Driving in Self Driving Car based on Machine Learning and Deep LearningHarinandan Tunga, RCC Institute of Information Technology, IndiaRounak Saha, RCC Institute of Information Technology, IndiaSamarjit Kar, NIT Durgapur, IndiaChapter 7 Interoperability Deep Learning algorithms for MultiModel Data Fusion in the Internet-of-ThingsDoaa Mohey Eldin, Cairo University, EgyptAboul Ella Hassanien, Cairo University, EgyptEhab Ezat, Cairo University, EgyptChapter 8 Implementation of Adaptive Optimized Fast Blind Channel Estimation of MIMO-OFDM Systems using MFPAShovon Nandi, Bengal Institute of Technology, IndiaNarendra Nath Pathak, Dr. B. C. Roy Engineering College, IndiaArnab Nandi, National Institute of Technology, Silchar, IndiaChapter 9 Spectrum Sensing for Cognitive Radio by Filter Bank ApproachSrijibendu Bagchi, RCC Institute of Information Technology, IndiaJawad Yaseen Siddiqui, University of Calcutta, IndiaChapter 10 Application of Singularity Expansion Method in ElectromagnetismNandan Bhattacharyya, RCC Institute of Information Technology, IndiaJawad Yaseen Siddiqui, University of Calcutta, IndiaChapter 11 ConclusionSoham Sarkar, RCC Institute of Information Technology, IndiaAbhishek Basu, RCC Institute of Information Technology, IndiaSiddhartha Bhattacharyya, RCC Institute of Information Technology, India