Computer Vision Methods For Fast Image Classification And Retrieval

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Computer Vision Methods for Fast Image Classification and Retrieval

Author : Rafał Scherer
Publisher : Springer
ISBN 13 : 303012195X
Total Pages : 144 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Computer Vision Methods for Fast Image Classification and Retrieval by : Rafał Scherer

Download or read book Computer Vision Methods for Fast Image Classification and Retrieval written by Rafał Scherer and published by Springer. This book was released on 2019-01-29 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as ‘hand-crafted features.’ It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images. Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book’s main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.

Integrated Region-Based Image Retrieval

Author : James Z. Wang
Publisher : Springer Science & Business Media
ISBN 13 : 1461516412
Total Pages : 187 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Integrated Region-Based Image Retrieval by : James Z. Wang

Download or read book Integrated Region-Based Image Retrieval written by James Z. Wang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. The need for efficient content-based image re trieval has increased tremendously in many application areas such as biomedicine, the military, commerce, education, and Web image clas sification and searching. In the biomedical domain, content-based im age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi ence has certainly demonstrated how far we are as yet from solving this basic problem.

Advanced Methods and Deep Learning in Computer Vision

Author : E. R. Davies
Publisher : Academic Press
ISBN 13 : 0128221496
Total Pages : 584 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Advanced Methods and Deep Learning in Computer Vision by : E. R. Davies

Download or read book Advanced Methods and Deep Learning in Computer Vision written by E. R. Davies and published by Academic Press. This book was released on 2021-11-09 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5–10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students. Provides an important reference on deep learning and advanced computer methods that was created by leaders in the field Illustrates principles with modern, real-world applications Suitable for self-learning or as a text for graduate courses

Image Processing: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1466639954
Total Pages : 1587 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Image Processing: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Image Processing: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2013-05-31 with total page 1587 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advancements in digital technology continue to expand the image science field through the tools and techniques utilized to process two-dimensional images and videos. Image Processing: Concepts, Methodologies, Tools, and Applications presents a collection of research on this multidisciplinary field and the operation of multi-dimensional signals with systems that range from simple digital circuits to computers. This reference source is essential for researchers, academics, and students in the computer science, computer vision, and electrical engineering fields.

Handbook of Pattern Recognition & Computer Vision

Author : Chi-hau Chen
Publisher : World Scientific
ISBN 13 : 9810230710
Total Pages : 1045 pages
Book Rating : 4.8/5 (12 download)

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Book Synopsis Handbook of Pattern Recognition & Computer Vision by : Chi-hau Chen

Download or read book Handbook of Pattern Recognition & Computer Vision written by Chi-hau Chen and published by World Scientific. This book was released on 1999 with total page 1045 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation. Presents the latest research findings in theory, techniques, algorithms, and major applications of pattern recognition and computer vision, as well as new hardware and architecture aspects. Contains sections on basic methods in pattern recognition and computer vision, nine recognition applications, inspection and robotic applications, and architectures and technology. Some areas discussed include cluster analysis, 3D vision of dynamic objects, speech recognition, computer vision in food handling, and video content analysis and retrieval. This second edition is extensively revised to describe progress in the field since 1993. Chen is affiliated with the electrical and computer engineering department at the University of Massachusetts-Dartmouth. Annotation copyrighted by Book News, Inc., Portland, OR.

Intelligent Systems and Applications in Computer Vision

Author : Nitin Mittal
Publisher : CRC Press
ISBN 13 : 1000985865
Total Pages : 321 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Intelligent Systems and Applications in Computer Vision by : Nitin Mittal

Download or read book Intelligent Systems and Applications in Computer Vision written by Nitin Mittal and published by CRC Press. This book was released on 2023-11-02 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection. Features: Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing. Covers deep learning algorithms in computer vision. Showcases novel solutions such as multi-resolution analysis in imaging processing, and metaheuristic algorithms for tackling challenges associated with image processing. Highlight optimization problems such as image segmentation and minimized feature design vector. Presents platform and simulation tools for image processing and segmentation. The book aims to get the readers familiar with the fundamentals of computational intelligence as well as the recent advancements in related technologies like smart applications of digital images, and other enabling technologies from the context of image processing and computer vision. It further covers important topics such as image watermarking, steganography, morphological processing, and optimized image segmentation. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields including electrical engineering, electronics, communications engineering, and computer engineering.

The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care

Author : Patrick Siarry
Publisher : Springer Nature
ISBN 13 : 3030752208
Total Pages : 270 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care by : Patrick Siarry

Download or read book The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care written by Patrick Siarry and published by Springer Nature. This book was released on 2021-08-11 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector. The book is a proficient guide on the relationship between AI, IoT and healthcare and gives examples into how IoT is changing all aspects of the healthcare industry. Topics include remote patient monitoring, the telemedicine ecosystem, pattern imaging analytics using AI, disease identification and diagnosis using AI, robotic surgery, prediction of epidemic outbreaks, and more. The contributors include applications and case studies across all areas of computational intelligence in healthcare data. The authors also include workflow in IoT-enabled healthcare technologies and explore privacy and security issues in healthcare-based IoT.

Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era

Author : Srinivasan, A.
Publisher : IGI Global
ISBN 13 : 1799888940
Total Pages : 467 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era by : Srinivasan, A.

Download or read book Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era written by Srinivasan, A. and published by IGI Global. This book was released on 2022-10-21 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent decades, there has been an increasing interest in using machine learning and, in the last few years, deep learning methods combined with other vision and image processing techniques to create systems that solve vision problems in different fields. There is a need for academicians, developers, and industry-related researchers to present, share, and explore traditional and new areas of computer vision, machine learning, deep learning, and their combinations to solve problems. The Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era is designed to serve researchers and developers by sharing original, innovative, and state-of-the-art algorithms and architectures for applications in the areas of computer vision, image processing, biometrics, virtual and augmented reality, and more. It integrates the knowledge of the growing international community of researchers working on the application of machine learning and deep learning methods in vision and robotics. Covering topics such as brain tumor detection, heart disease prediction, and medical image detection, this premier reference source is an exceptional resource for medical professionals, faculty and students of higher education, business leaders and managers, librarians, government officials, researchers, and academicians.

Recognition and Perception of Images

Author : Iftikhar B. Abbasov
Publisher : John Wiley & Sons
ISBN 13 : 1119750555
Total Pages : 466 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Recognition and Perception of Images by : Iftikhar B. Abbasov

Download or read book Recognition and Perception of Images written by Iftikhar B. Abbasov and published by John Wiley & Sons. This book was released on 2021-03-23 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to the unique interdisciplinary research of imagery processing, recognition and perception. The contents of this book are based on the concepts of mathematical processing, compositional analysis applied in the art and design, and psychological factors of the information perception process. The conduction of compositional analysis carried out in the course of images processing and recognition, creation of the image project solution and modeling of the conceptual space structures are considered together with the mechanism of their perception. Edited and written by a group of international experts, the practical applications for industry are covered, including the influence of internet memes on social networks and face recognition technology subject to interferences. The algorithms of perception and improving of accuracy necessary for satellite imagery recognition and complex reflection from the object are represented with the use of artificial neural networks. Not just a study in how humans recognize and perceive images, this outstanding new volume delves into how these processes are used in technology for continuously evolving industrial applications. Whether for the veteran scientist or engineer, or for the student, this is a must-have for any library.

State-of-the-Art in Content-Based Image and Video Retrieval

Author : Remco C. Veltkamp
Publisher : Springer Science & Business Media
ISBN 13 : 9401596646
Total Pages : 349 pages
Book Rating : 4.4/5 (15 download)

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Book Synopsis State-of-the-Art in Content-Based Image and Video Retrieval by : Remco C. Veltkamp

Download or read book State-of-the-Art in Content-Based Image and Video Retrieval written by Remco C. Veltkamp and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Images and video play a crucial role in visual information systems and multimedia. There is an extraordinary number of applications of such systems in entertainment, business, art, engineering, and science. Such applications often involved large image and video collections, and therefore, searching for images and video in large collections is becoming an important operation. Because of the size of such databases, efficiency is crucial. We strongly believe that image and video retrieval need an integrated approach from fields such as image processing, shape processing, perception, database indexing, visualization, and querying, etc. This book contains a selection of results that was presented at the Dagstuhl Seminar on Content-Based Image and Video Retrieval, in December 1999. The purpose of this seminar was to bring together people from the various fields, in order to promote information exchange and interaction among researchers who are interested in various aspects of accessing the content of image and video data. The book provides an overview of the state of the art in content-based image and video retrieval. The topics covered by the chapters are integrated system aspects, as well as techniques from image processing, computer vision, multimedia, databases, graphics, signal processing, and information theory. The book will be of interest to researchers and professionals in the fields of multimedia, visual information (database) systems, computer vision, and information retrieval.

Visual Object Recognition

Author : Kristen Grauman
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1598299689
Total Pages : 184 pages
Book Rating : 4.5/5 (982 download)

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Book Synopsis Visual Object Recognition by : Kristen Grauman

Download or read book Visual Object Recognition written by Kristen Grauman and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphasis on recent advances in the field. The target audience consists of researchers or students working in AI, robotics, or vision who would like to understand what methods and representations are available for these problems. This lecture summarizes what is and isn't possible to do reliably today, and overviews key concepts that could be employed in systems requiring visual categorization. Table of Contents: Introduction / Overview: Recognition of Specific Objects / Local Features: Detection and Description / Matching Local Features / Geometric Verification of Matched Features / Example Systems: Specific-Object Recognition / Overview: Recognition of Generic Object Categories / Representations for Object Categories / Generic Object Detection: Finding and Scoring Candidates / Learning Generic Object Category Models / Example Systems: Generic Object Recognition / Other Considerations and Current Challenges / Conclusions

Computer Vision – ECCV 2012

Author : Andrew Fitzgibbon
Publisher : Springer
ISBN 13 : 3642337090
Total Pages : 889 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Computer Vision – ECCV 2012 by : Andrew Fitzgibbon

Download or read book Computer Vision – ECCV 2012 written by Andrew Fitzgibbon and published by Springer. This book was released on 2012-09-26 with total page 889 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set comprising LNCS volumes 7572-7578 constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held in Florence, Italy, in October 2012. The 408 revised papers presented were carefully reviewed and selected from 1437 submissions. The papers are organized in topical sections on geometry, 2D and 3D shapes, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image segmentation.

Communication and Intelligent Systems

Author : Harish Sharma
Publisher : Springer Nature
ISBN 13 : 9811610894
Total Pages : 1040 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Communication and Intelligent Systems by : Harish Sharma

Download or read book Communication and Intelligent Systems written by Harish Sharma and published by Springer Nature. This book was released on 2021-06-28 with total page 1040 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected research papers presented at the International Conference on Communication and Intelligent Systems (ICCIS 2020), organized jointly by Birla Institute of Applied Sciences, Uttarakhand, and Soft Computing Research Society during 26–27 December 2020. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source.

Deep Learning in Object Detection and Recognition

Author : Xiaoyue Jiang
Publisher : Springer
ISBN 13 : 9789811506512
Total Pages : 0 pages
Book Rating : 4.5/5 (65 download)

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Book Synopsis Deep Learning in Object Detection and Recognition by : Xiaoyue Jiang

Download or read book Deep Learning in Object Detection and Recognition written by Xiaoyue Jiang and published by Springer. This book was released on 2020-11-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in deep learning, computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks.

Principles of Visual Information Retrieval

Author : Michael S. Lew
Publisher : Springer Science & Business Media
ISBN 13 : 1447137027
Total Pages : 366 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Principles of Visual Information Retrieval by : Michael S. Lew

Download or read book Principles of Visual Information Retrieval written by Michael S. Lew and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text introduces the basic concepts and techniques in VIR. In doing so, it develops a foundation for further research and study. Divided into two parts, the first part describes the fundamental principles. A chapter is devoted to each of the main features of VIR, such as colour, texture and shape-based search. There is coverage of search techniques for time-based image sequences or videos, and an overview of how to combine all the basic features described and integrate them into the search process. The second part looks at advanced topics such as multimedia query. This book is essential reading for researchers in VIR, and final-year undergraduate and postgraduate students on courses such as Multimedia Information Retrieval, Multimedia Databases, and others.

Computational Science – ICCS 2020

Author : Valeria V. Krzhizhanovskaya
Publisher : Springer Nature
ISBN 13 : 3030504336
Total Pages : 679 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Computational Science – ICCS 2020 by : Valeria V. Krzhizhanovskaya

Download or read book Computational Science – ICCS 2020 written by Valeria V. Krzhizhanovskaya and published by Springer Nature. This book was released on 2020-06-19 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.

Advancements in Computer Vision and Image Processing

Author : Garcia-Rodriguez, Jose
Publisher : IGI Global
ISBN 13 : 152255629X
Total Pages : 322 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Advancements in Computer Vision and Image Processing by : Garcia-Rodriguez, Jose

Download or read book Advancements in Computer Vision and Image Processing written by Garcia-Rodriguez, Jose and published by IGI Global. This book was released on 2018-04-06 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest in computer vision and image processing has grown in recent years with the advancement of everyday technologies such as smartphones, computer games, and social robotics. These advancements have allowed for advanced algorithms that have improved the processing capabilities of these technologies. Advancements in Computer Vision and Image Processing is a critical scholarly resource that explores the impact of new technologies on computer vision and image processing methods in everyday life. Featuring coverage on a wide range of topics including 3D visual localization, cellular automata-based structures, and eye and face recognition, this book is geared toward academicians, technology professionals, engineers, students, and researchers seeking current research on the development of sophisticated algorithms to process images and videos in real time.