Emerging Trends in Image Processing Computer Vision and Pattern Recognition

Emerging Trends in Image Processing  Computer Vision and Pattern Recognition
Author: Leonidas Deligiannidis,Hamid Arabnia
Publsiher: Morgan Kaufmann Publishers
Total Pages: 640
Release: 2014-12-10
ISBN 10: 9780128020456
ISBN 13: 0128020458
Language: EN, FR, DE, ES & NL

Emerging Trends in Image Processing Computer Vision and Pattern Recognition Book Review:

Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which at its core consists of three intertwined computer science fields, namely: Image Processing, Computer Vision, and Pattern Recognition. There is significant renewed interest in each of these three fields fueled by Big Data and Data Analytic initiatives including but not limited to; applications as diverse as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. These three core topics discussed here provide a solid introduction to image processing along with low-level processing techniques, computer vision fundamentals along with examples of applied applications and pattern recognition algorithms and methodologies that will be of value to the image processing and computer vision research communities. Drawing upon the knowledge of recognized experts with years of practical experience and discussing new and novel applications Editors' Leonidas Deligiannidis and Hamid Arabnia cover; Many perspectives of image processing spanning from fundamental mathematical theory and sampling, to image representation and reconstruction, filtering in spatial and frequency domain, geometrical transformations, and image restoration and segmentation Key application techniques in computer vision some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication Pattern recognition algorithms including but not limited to; Supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. How to use image processing and visualization to analyze big data. Discusses novel applications that can benefit from image processing, computer vision and pattern recognition such as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. Covers key application techniques in computer vision from fundamentals to mid to high level processing some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication. Presents a number of pattern recognition algorithms and methodologies including but not limited to; supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. Explains how to use image processing and visualization to analyze big data.

Image Processing Computer Vision and Pattern Recognition

Image Processing  Computer Vision  and Pattern Recognition
Author: Hamid R. Arabnia,Leonidas Deligiannidis,Fernando G. Tinetti
Publsiher: 2019 Worldcomp Internation
Total Pages: 168
Release: 2020-03-13
ISBN 10: 9781601325068
ISBN 13: 1601325061
Language: EN, FR, DE, ES & NL

Image Processing Computer Vision and Pattern Recognition Book Review:

Proceedings of the 2019 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'19) held July 29th - August 1st, 2019 in Las Vegas, Nevada.

Emerging Trends in Image Processing Computer Vision and Pattern Recognition

Emerging Trends in Image Processing  Computer Vision and Pattern Recognition
Author: Leonidas Deligiannidis,Hamid R Arabnia
Publsiher: Morgan Kaufmann
Total Pages: 640
Release: 2014-12-09
ISBN 10: 012802092X
ISBN 13: 9780128020920
Language: EN, FR, DE, ES & NL

Emerging Trends in Image Processing Computer Vision and Pattern Recognition Book Review:

Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which at its core consists of three intertwined computer science fields, namely: Image Processing, Computer Vision, and Pattern Recognition. There is significant renewed interest in each of these three fields fueled by Big Data and Data Analytic initiatives including but not limited to; applications as diverse as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. These three core topics discussed here provide a solid introduction to image processing along with low-level processing techniques, computer vision fundamentals along with examples of applied applications and pattern recognition algorithms and methodologies that will be of value to the image processing and computer vision research communities. Drawing upon the knowledge of recognized experts with years of practical experience and discussing new and novel applications Editors’ Leonidas Deligiannidis and Hamid Arabnia cover; Many perspectives of image processing spanning from fundamental mathematical theory and sampling, to image representation and reconstruction, filtering in spatial and frequency domain, geometrical transformations, and image restoration and segmentation Key application techniques in computer vision some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication Pattern recognition algorithms including but not limited to; Supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. How to use image processing and visualization to analyze big data. Discusses novel applications that can benefit from image processing, computer vision and pattern recognition such as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. Covers key application techniques in computer vision from fundamentals to mid to high level processing some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication. Presents a number of pattern recognition algorithms and methodologies including but not limited to; supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. Explains how to use image processing and visualization to analyze big data.

Soft Computing for Sustainability Science

Soft Computing for Sustainability Science
Author: Carlos Cruz Corona
Publsiher: Springer
Total Pages: 348
Release: 2017-07-12
ISBN 10: 3319623591
ISBN 13: 9783319623597
Language: EN, FR, DE, ES & NL

Soft Computing for Sustainability Science Book Review:

This book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption; fault diagnosis; vessel fuel consumption; determining the best sites for new malls; maritime port projects; and ad-hoc vehicular networks. Further, it demonstrates how metaheuristics and machine learning methods, fuzzy linear programming, neural networks, computing with words, linguistic models and other soft computing methods can be efficiently used to solve real-world problems. Intended as a practice-oriented guide for students, researchers, and professionals working at the interface between computer science, industrial engineering, naval engineering, agriculture, and sustainable development / climate change research, it provides readers with a set of intelligent solutions, helping them answer a range of emerging questions related to sustainability.

Emerging Technology Trends in Electronics Communication and Networking

Emerging Technology Trends in Electronics  Communication and Networking
Author: Shilpi Gupta
Publsiher: Springer Nature
Total Pages: 329
Release: 2021
ISBN 10: 9811572194
ISBN 13: 9789811572197
Language: EN, FR, DE, ES & NL

Emerging Technology Trends in Electronics Communication and Networking Book Review:

Progress in Systems Engineering

Progress in Systems Engineering
Author: Henry Selvaraj,Dawid Zydek,Grzegorz Chmaj
Publsiher: Springer
Total Pages: 903
Release: 2014-08-12
ISBN 10: 3319084224
ISBN 13: 9783319084220
Language: EN, FR, DE, ES & NL

Progress in Systems Engineering Book Review:

This collection of proceedings from the International Conference on Systems Engineering, Las Vegas, 2014 is orientated toward systems engineering, including topics like aero-space, power systems, industrial automation and robotics, systems theory, control theory, artificial intelligence, signal processing, decision support, pattern recognition and machine learning, information and communication technologies, image processing, and computer vision as well as its applications. The volume’s main focus is on models, algorithms, and software tools that facilitate efficient and convenient utilization of modern achievements in systems engineering.

International Advanced Researches Engineering Congress 2017 Proceeding Book

International Advanced Researches   Engineering Congress 2017 Proceeding Book
Author: Recep HALICIOGLU,Hediye KIRLI AKIN,Yusuf FEDAI
Publsiher: Dr. R. HALICIOGLU
Total Pages: 2770
Release: 2017-12-29
ISBN 10: 6052450371
ISBN 13: 9786052450376
Language: EN, FR, DE, ES & NL

International Advanced Researches Engineering Congress 2017 Proceeding Book Book Review:

INTERNATIONAL WORKSHOPS (at IAREC'17) (This book inclueds English (main) and Turkish languages) International Workshop on Mechanical Engineering International Workshop on Mechatronics Engineering International Workshop on Energy Systems Engineering International Workshop on Automotive Engineering and Aerospace Engineering International Workshop on Material Engineering International Workshop on Manufacturing Engineering International Workshop on Physics Engineering International Workshop on Electrical and Electronics Engineering International Workshop on Computer Engineering and Software Engineering International Workshop on Chemical Engineering International Workshop on Textile Engineering International Workshop on Architecture International Workshop on Civil Engineering International Workshop on Geomatics Engineering International Workshop on Industrial Engineering International Workshop on Food Engineering International Workshop on Aquaculture Engineering International Workshop on Agriculture Engineering International Workshop on Mathematics Engineering International Workshop on Bioengineering Engineering International Workshop on Biomedical Engineering International Workshop on Genetic Engineering International Workshop on Environmental Engineering International Workshop on Other Engineering Science

Computer Vision Concepts Methodologies Tools and Applications

Computer Vision  Concepts  Methodologies  Tools  and Applications
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 2451
Release: 2018-02-02
ISBN 10: 1522552057
ISBN 13: 9781522552055
Language: EN, FR, DE, ES & NL

Computer Vision Concepts Methodologies Tools and Applications Book Review:

The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material on development of computers for gaining understanding about videos and digital images. Highlighting a range of topics, such as computational models, machine learning, and image processing, this multi-volume book is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

Handbook of Research on Deep Learning Based Image Analysis Under Constrained and Unconstrained Environments

Handbook of Research on Deep Learning Based Image Analysis Under Constrained and Unconstrained Environments
Author: Alex Noel Joseph Raj,Vijayalakshmi G. V. Mahesh,Nersisson Ruban
Publsiher: IGI Global
Total Pages: 329
Release: 2020-11
ISBN 10: 1799866920
ISBN 13: 9781799866923
Language: EN, FR, DE, ES & NL

Handbook of Research on Deep Learning Based Image Analysis Under Constrained and Unconstrained Environments Book Review:

Recent advancements in imaging techniques and image analysis has broadened the horizons for their applications in various domains. Image analysis has become an influential technique in medical image analysis, optical character recognition, geology, remote sensing, and more. However, analysis of images under constrained and unconstrained environments require efficient representation of the data and complex models for accurate interpretation and classification of data. Deep learning methods, with their hierarchical/multilayered architecture, allow the systems to learn complex mathematical models to provide improved performance in the required task.

The Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. Highlighting concepts, methods, and tools including convolutional neural networks, edge enhancement, image segmentation, machine learning, and image processing, the book is an essential and comprehensive reference work for engineers, academicians, researchers, and students.

Computer Vision and Image Processing

Computer Vision and Image Processing
Author: Satish Kumar Singh
Publsiher: Springer Nature
Total Pages: 329
Release: 2021
ISBN 10: 981161086X
ISBN 13: 9789811610868
Language: EN, FR, DE, ES & NL

Computer Vision and Image Processing Book Review:

Foundations of Computer Vision

Foundations of Computer Vision
Author: James F. Peters
Publsiher: Springer
Total Pages: 431
Release: 2017-04-16
ISBN 10: 3319524836
ISBN 13: 9783319524832
Language: EN, FR, DE, ES & NL

Foundations of Computer Vision Book Review:

This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving CV problems, shape tracking in image object recognition and detecting the repetition of shapes in single images and video frames. Computational geometry provides a visualization of topological structures such as neighborhoods of points embedded in images, while image topology supplies us with structures useful in the analysis and classification of image regions. Algorithms provide a practical, step-by-step means of viewing image structures. The implementations of CV methods in Matlab and Mathematica, classification of chapter problems with the symbols (easily solved) and (challenging) and its extensive glossary of key words, examples and connections with the fabric of CV make the book an invaluable resource for advanced undergraduate and first year graduate students in Engineering, Computer Science or Applied Mathematics. It offers insights into the design of CV experiments, inclusion of image processing methods in CV projects, as well as the reconstruction and interpretation of recorded natural scenes.

Artificial Intelligence and Mobile Services AIMS 2019

Artificial Intelligence and Mobile Services     AIMS 2019
Author: De Wang,Liang-Jie Zhang
Publsiher: Springer
Total Pages: 189
Release: 2019-06-19
ISBN 10: 3030233677
ISBN 13: 9783030233679
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Mobile Services AIMS 2019 Book Review:

This book constitutes the proceedings of the 8th International Conference on Artificial Intelligence and Mobile Services, AIMS 2019, held as part of SCF 2019, in San Diego, CA, USA, in June 2019. The 12 full papers and one short paper presented were carefully reviewed and selected from 29 submissions. The papers cover different aspects of mobile services from business management to computing systems, algorithms and applications. They promote technological technological innovations in research and development of mobile services, including, but not limited to, wireless and sensor networks, mobile and wearable computing, mobile enterprise and eCommerce, ubiquitous collaborative and social services, machine-to-machine and Internet-of-things, clouds, cyber-physical integration, and big data analytics for mobility-enabled services.

Advances in Decision Sciences Image Processing Security and Computer Vision

Advances in Decision Sciences  Image Processing  Security and Computer Vision
Author: Suresh Chandra Satapathy,K. Srujan Raju,K. Shyamala,D. Rama Krishna,Margarita N. Favorskaya
Publsiher: Springer
Total Pages: 806
Release: 2019-07-12
ISBN 10: 3030243222
ISBN 13: 9783030243227
Language: EN, FR, DE, ES & NL

Advances in Decision Sciences Image Processing Security and Computer Vision Book Review:

This book constitutes the proceedings of the First International Conference on Emerging Trends in Engineering (ICETE), held at University College of Engineering and organised by the Alumni Association, University College of Engineering, Osmania University, in Hyderabad, India on 22–23 March 2019. The proceedings of the ICETE are published in three volumes, covering seven areas: Biomedical, Civil, Computer Science, Electrical & Electronics, Electronics & Communication, Mechanical, and Mining Engineering. The 215 peer-reviewed papers from around the globe present the latest state-of-the-art research, and are useful to postgraduate students, researchers, academics and industry engineers working in the respective fields. Volume 1 presents papers on the theme “Advances in Decision Sciences, Image Processing, Security and Computer Vision – International Conference on Emerging Trends in Engineering (ICETE)”. It includes state-of-the-art technical contributions in the area of biomedical and computer science engineering, discussing sustainable developments in the field, such as instrumentation and innovation, signal and image processing, Internet of Things, cryptography and network security, data mining and machine learning.

Face Analysis Modeling and Recognition Systems

Face Analysis  Modeling and Recognition Systems
Author: Tudor Barbu
Publsiher: BoD – Books on Demand
Total Pages: 226
Release: 2011-10-03
ISBN 10: 9533077387
ISBN 13: 9789533077383
Language: EN, FR, DE, ES & NL

Face Analysis Modeling and Recognition Systems Book Review:

The purpose of this book, entitled Face Analysis, Modeling and Recognition Systems is to provide a concise and comprehensive coverage of artificial face recognition domain across four major areas of interest: biometrics, robotics, image databases and cognitive models. Our book aims to provide the reader with current state-of-the-art in these domains. The book is composed of 12 chapters which are grouped in four sections. The chapters in this book describe numerous novel face analysis techniques and approach many unsolved issues. The authors who contributed to this book work as professors and researchers at important institutions across the globe, and are recognized experts in the scientific fields approached here. The topics in this book cover a wide range of issues related to face analysis and here are offered many solutions to open issues. We anticipate that this book will be of special interest to researchers and academics interested in computer vision, biometrics, image processing, pattern recognition and medical diagnosis.

Machine Learning Algorithms for Industrial Applications

Machine Learning Algorithms for Industrial Applications
Author: Santosh Kumar Das,Shom Prasad Das,Nilanjan Dey,Aboul-Ella Hassanien
Publsiher: Springer Nature
Total Pages: 315
Release: 2020-07-18
ISBN 10: 303050641X
ISBN 13: 9783030506414
Language: EN, FR, DE, ES & NL

Machine Learning Algorithms for Industrial Applications Book Review:

This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry. The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners.

Discrete Cosine Transform Second Edition

Discrete Cosine Transform  Second Edition
Author: Humberto Ochoa-Dominguez,K. R. Rao
Publsiher: CRC Press
Total Pages: 358
Release: 2019-04-18
ISBN 10: 1351396471
ISBN 13: 9781351396479
Language: EN, FR, DE, ES & NL

Discrete Cosine Transform Second Edition Book Review:

Many new DCT-like transforms have been proposed since the first edition of this book. For example, the integer DCT that yields integer transform coefficients, the directional DCT to take advantage of several directions of the image and the steerable DCT. The advent of higher dimensional frames such as UHDTV and 4K-TV demand for small and large transform blocks to encode small or large similar areas respectively in an efficient way. Therefore, a new updated book on DCT, adapted to the modern days, considering the new advances in this area and targeted for students, researchers and the industry is a necessity.

Content Based Image Retrieval

Content Based Image Retrieval
Author: Vipin Tyagi
Publsiher: Springer
Total Pages: 378
Release: 2018-01-15
ISBN 10: 9811067597
ISBN 13: 9789811067594
Language: EN, FR, DE, ES & NL

Content Based Image Retrieval Book Review:

The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies. The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one, both for research and for commercial applications. The book explains the low-level features that can be extracted from an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a valuable resource for students and researchers interested in the area of CBIR alike.

Proceedings of the 5th Brazilian Technology Symposium

Proceedings of the 5th Brazilian Technology Symposium
Author: Yuzo Iano,Rangel Arthur,Osamu Saotome,Guillermo Kemper,Reinaldo Padilha França
Publsiher: Springer Nature
Total Pages: 652
Release: 2020-12-15
ISBN 10: 3030575489
ISBN 13: 9783030575489
Language: EN, FR, DE, ES & NL

Proceedings of the 5th Brazilian Technology Symposium Book Review:

This book presents the proceedings of the 5th Edition of the Brazilian Technology Symposium (BTSym). This event brings together researchers, students and professionals from the industrial and academic sectors, seeking to create and/or strengthen links between issues of joint interest, thus promoting technology and innovation at nationwide level. The BTSym facilitates the smart integration of traditional and renewable power generation systems, distributed generation, energy storage, transmission, distribution and demand management. The areas of knowledge covered by the event are Smart Designs, Sustainability, Inclusion, Future Technologies, IoT, Architecture and Urbanism, Computer Science, Information Science, Industrial Design, Aerospace Engineering, Agricultural Engineering, Biomedical Engineering, Civil Engineering, Control and Automation Engineering, Production Engineering, Electrical Engineering, Mechanical Engineering, Naval and Oceanic Engineering, Nuclear Engineering, Chemical Engineering, Probability and Statistics.

Deep Learning and Big Data for Intelligent Transportation

Deep Learning and Big Data for Intelligent Transportation
Author: Khaled R. Ahmed
Publsiher: Springer Nature
Total Pages: 329
Release: 2021
ISBN 10: 3030656616
ISBN 13: 9783030656614
Language: EN, FR, DE, ES & NL

Deep Learning and Big Data for Intelligent Transportation Book Review:

Intelligent Systems

Intelligent Systems
Author: Chiranji Lal Chowdhary
Publsiher: CRC Press
Total Pages: 294
Release: 2020-01-06
ISBN 10: 0429560044
ISBN 13: 9780429560040
Language: EN, FR, DE, ES & NL

Intelligent Systems Book Review:

This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality research that presents the current trends, advanced methods, and hybridized techniques relating to data analytics and intelligent systems. The book also features case studies related to medical diagnosis with the use of image processing and soft computing algorithms in particular models. Providing extensive coverage of biometric systems, soft computing, image processing, artificial intelligence, and data analytics, the chapter authors discuss the latest research issues, present solutions to research problems, and look at comparative analysis with earlier results. Topics include some of the most important challenges and discoveries in intelligent systems today, such as computer vision concepts and image identification, data analysis and computational paradigms, deep learning techniques, face and speaker recognition systems, and more.