Intelligent Multi-Modal Data Processing

Intelligent Multi-Modal Data Processing
-0 %
Besorgungstitel - wird vorgemerkt | Lieferzeit: Besorgungstitel - Lieferbar innerhalb von 10 Werktagen I

Unser bisheriger Preis:ORGPRICE: 142,50 €

Jetzt 142,49 €*

Alle Preise inkl. MwSt. | Versandkostenfrei
Artikel-Nr:
9781119571384
Veröffentl:
2021
Erscheinungsdatum:
24.03.2021
Seiten:
288
Autor:
Soham Sarkar
Gewicht:
676 g
Format:
250x175x20 mm
Sprache:
Englisch
Beschreibung:

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.
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.
Dedication
 
Preface
 
Chapter 1 Introduction
 
Soham Sarkar, RCC Institute of Information Technology, India
 
Abhishek Basu, RCC Institute of Information Technology, India
 
Siddhartha Bhattacharyya, RCC Institute of Information Technology, India
 
Chapter 2 Progressive Performance of Watermarking Using Spread Spectrum Modulation
 
Arunothpol Debnath, RCC Institute of Information Technology, India
 
Anirban Saha, Supreme Knowledge Foundation Group of Institutions Purulia, India
 
Tirtha Sankar Das, Ramkrishna Mahato Government Engineering College, India
 
Abhishek Basu, RCC Institute of Information Technology, India
 
Avik Chattopadhyay, University of Calcutta, India
 
Chapter 3 Secured Digital Watermarking Technique and FPGA Implementation
 
Ranit Karmakar, Michigan Technological University, USA
 
Zinia Haque, NB Institute for Rural Technology, India
 
Tirtha Sankar Das, Ram Krishna Mahato Government Engineering College Purulia, India
 
Rajeev Kamal, Dayananda Sagar University School of Engineering, India
 
Chapter 4 Intelligent Image Watermarking for Copyright Protection
 
Subhrajit Sinha Roy, RCC Institute of Information Technology, India
 
Abhishek Basu, RCC Institute of Information Technology, India
 
Avik Chattopadhyay, University of Calcutta, India
 
Chapter 5 Video Summarization using Dense Captioning Model
 
Arindm Kundu1, Capgemini, India
 
Sourav Das, National Institute of Electronics and Information Technology (NIELIT) Kolkata, India
 
Anup Kumar Kolya, RCC Institute of Information Technology, India
 
Chapter 6 A method of fully Autonomous Driving in Self Driving Car based on Machine Learning and Deep Learning
 
Harinandan Tunga, RCC Institute of Information Technology, India
 
Rounak Saha, RCC Institute of Information Technology, India
 
Samarjit Kar, NIT Durgapur, India
 
Chapter 7 Interoperability Deep Learning algorithms for MultiModel Data Fusion in the Internet-of-Things
 
Doaa Mohey Eldin, Cairo University, Egypt
 
Aboul Ella Hassanien, Cairo University, Egypt
 
Ehab Ezat, Cairo University, Egypt
 
Chapter 8 Implementation of Adaptive Optimized Fast Blind Channel Estimation of MIMO-OFDM Systems using MFPA
 
Shovon Nandi, Bengal Institute of Technology, India
 
Narendra Nath Pathak, Dr. B. C. Roy Engineering College, India
 
Arnab Nandi, National Institute of Technology, Silchar, India
 
Chapter 9 Spectrum Sensing for Cognitive Radio by Filter Bank Approach
 
Srijibendu Bagchi, RCC Institute of Information Technology, India
 
Jawad Yaseen Siddiqui, University of Calcutta, India
 
Chapter 10 Application of Singularity Expansion Method in Electromagnetism
 
Nandan Bhattacharyya, RCC Institute of Information Technology, India
 
Jawad Yaseen Siddiqui, University of Calcutta, India
 
Chapter 11 Conclusion
 
Soham Sarkar, RCC Institute of Information Technology, India
 
Abhishek Basu, RCC Institute of Information Technology, India
 
Siddhartha Bhattacharyya, RCC Institute of Information Technology, India
Lieferung vom Verlag mit leichten Qualitätsmängeln möglich

Kunden Rezensionen

Zu diesem Artikel ist noch keine Rezension vorhanden.
Helfen sie anderen Besuchern und verfassen Sie selbst eine Rezension.