Oge Marques's Books

AI for Radiology

By: Oge Marques

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Artificial intelligence (AI) has revolutionized many areas of medicine and is increasingly being embraced. This book focuses on the integral role of AI in radiology, shedding light on how this technology can enhance patient care and streamline professional workflows. This book reviews, explains, and contextualizes some of the most current, practical, and relevant developments in artificial intelligence and deep learning in radiology and medical image analysis. AI for Radiology presents a balanced viewpoint of the impact of AI in these fields, underscoring that AI technologies are not intended to replace radiologists but rather to augment their capabilities, freeing professionals to focus on more complex cases. This book guides readers from the basic principles of AI to their practical applications in radiology, moving from the role of data in AI to the ethical and regulatory considerations of using AI in radiology and concluding with a selection of resources for further exploration. This book has been crafted with a diverse readership in mind. It is a valuable asset for medical professionals eager to stay up to date with AI developments, computer scientists curious about AI’s clinical applications, and anyone interested in the intersection of healthcare and technology.

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157

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CRC Press

Published Date

ISBN 10

1003836445

ISBN 13

9781003836445

Image Processing Recipes in MATLAB®

By: Oge Marques,Gustavo Benvenutti Borba

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Image Processing Recipes in MATLAB®

By: Oge Marques,Gustavo Benvenutti Borba

Leveraging the latest developments in MATLAB and its image processing toolbox, this 'cookbook' is a collection of 30 practical recipes for image processing, ranging from foundational techniques to recently published algorithms. Presented in a clear and meaningful sequence, these recipes are prepared with the reader in mind, allowing one to focus on particular topics or read as a whole from cover to cover. Key Features: A practical, user-friendly guide that equips researchers and practitioners with the tools to implement efficient image processing workflows in MATLAB. Each recipe is presented through clear, step-by-step instructions and rich visual examples. Each recipe contains its own source code, explanations, and figures, making the book an excellent standalone resource for quick reference. Strategically structured to aid sequential learning, yet with self-contained chapters for those seeking solutions to specific image processing challenges. The book serves as a concise and readable practical reference to deploy image processing pipelines in MATLAB quickly and efficiently. With its accessible and practical approach, the book is a valuable guide for those who navigate this evolving area, including researchers, students, developers, and practitioners in the fields of image processing, computer vision, and image analysis.

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263

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CRC Press

Published Date

ISBN 10

1040024033

ISBN 13

9781040024034

Content-Based Image and Video Retrieval

By: Oge Marques,Borko Furht

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Content-Based Image and Video Retrieval

By: Oge Marques,Borko Furht

Content-Based Image And Video Retrieval addresses the basic concepts and techniques for designing content-based image and video retrieval systems. It also discusses a variety of design choices for the key components of these systems. This book gives a comprehensive survey of the content-based image retrieval systems, including several content-based video retrieval systems. The survey includes both research and commercial content-based retrieval systems. Content-Based Image And Video Retrieval includes pointers to two hundred representative bibliographic references on this field, ranging from survey papers to descriptions of recent work in the area, entire books and more than seventy websites. Finally, the book presents a detailed case study of designing MUSE–a content-based image retrieval system developed at Florida Atlantic University in Boca Raton, Florida.

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208

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Springer Science & Business Media

Published Date

ISBN 10

1402070047

ISBN 13

9781402070044

Visual Information Retrieval Using Java and LIRE

By: Lux Mathias,Marques Oge

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Visual Information Retrieval Using Java and LIRE

By: Lux Mathias,Marques Oge

Visual information retrieval (VIR) is an active and vibrant research area, which attempts at providing means for organizing, indexing, annotating, and retrieving visual information (images and videos) from large, unstructured repositories. The goal of VIR is to retrieve matches ranked by their relevance to a given query, which is often expressed as an example image and/or a series of keywords. During its early years (1995-2000), the research efforts were dominated by content-based approaches contributed primarily by the image and video processing community. During the past decade, it was widely recognized that the challenges imposed by the lack of coincidence between an image's visual contents and its semantic interpretation, also known as semantic gap, required a clever use of textual metadata (in addition to information extracted from the image's pixel contents) to make image and video retrieval solutions efficient and effective. The need to bridge (or at least narrow) the semantic gap has been one of the driving forces behind current VIR research. Additionally, other related research problems and market opportunities have started to emerge, offering a broad range of exciting problems for computer scientists and engineers to work on. In this introductory book, we focus on a subset of VIR problems where the media consists of images, and the indexing and retrieval methods are based on the pixel contents of those images -- an approach known as content-based image retrieval (CBIR). We present an implementation-oriented overview of CBIR concepts, techniques, algorithms, and figures of merit. Most chapters are supported by examples written in Java, using Lucene (an open-source Java-based indexing and search implementation) and LIRE (Lucene Image REtrieval), an open-source Java-based library for CBIR. Table of Contents: Introduction / Information Retrieval: Selected Concepts and Techniques / Visual Features / Indexing Visual Features / LIRE: An Extensible Java CBIR Library / Concluding Remarks

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Springer Nature

Published Date

ISBN 10

3031022823

ISBN 13

9783031022821

Innovative Technologies in Everyday Life

By: Oge Marques

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Innovative Technologies in Everyday Life

By: Oge Marques

This SpringerBrief provides an overview of contemporary innovative technologies and discusses their impact on our daily lives. Written from a technical perspective, and yet using language and terminology accessible to non-experts, it describes the technologies, the key players in each area, the most popular apps and services (and their pros and cons), as well as relevant usage statistics. It is targeted at a broad audience, ranging from young gadget enthusiasts to senior citizens trying to get used to new devices and associated apps. By offering a structured overview of some of the most useful technologies current available, putting them in perspective, and suggesting numerous resources for further exploration, the book gives its readers a clear path for learning new topics through apps and web-based resources, making better choices of apps and websites for frequent use, using social networks effectively, protecting their privacy and staying safe online, and enjoying the opportunities brought about by these technological advances without being completely consumed by them.

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Springer

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ISBN 10

3319456997

ISBN 13

9783319456997

Driver Drowsiness Detection

Systems and Solutions

By: Aleksandar Čolić,Oge Marques,Borko Furht

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Driver Drowsiness Detection

Systems and Solutions

By: Aleksandar Čolić,Oge Marques,Borko Furht

This SpringerBrief presents the fundamentals of driver drowsiness detection systems, provides examples of existing products, and offers guides for practitioners interested in developing their own solutions to the problem. Driver drowsiness causes approximately 7% of all road accidents and up to 18% of fatal collisions. Proactive systems that are capable of preventing the loss of lives combine techniques, methods, and algorithms from many fields of engineering and computer science such as sensor design, image processing, computer vision, mobile application development, and machine learning which is covered in this brief. The major concepts addressed in this brief are: the need for such systems, the different methods by which drowsiness can be detected (and the associated terminology), existing commercial solutions, selected algorithms and research directions, and a collection of examples and case studies. These topics equip the reader to understand this critical field and its applications. Detection Systems and Solutions: Driver Drowsiness is an invaluable resource for researchers and professionals working in intelligent vehicle systems and technologies. Advanced-level students studying computer science and electrical engineering will also find the content helpful.

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Springer

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ISBN 10

3319115359

ISBN 13

9783319115351

Practical Image and Video Processing Using MATLAB

By: Oge Marques

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Practical Image and Video Processing Using MATLAB

By: Oge Marques

UP-TO-DATE, TECHNICALLY ACCURATE COVERAGE OF ESSENTIAL TOPICS IN IMAGE AND VIDEO PROCESSING This is the first book to combine image and video processing with a practical MATLAB®-oriented approach in order to demonstrate the most important image and video techniques and algorithms. Utilizing minimal math, the contents are presented in a clear, objective manner, emphasizing and encouraging experimentation. The book has been organized into two parts. Part I: Image Processing begins with an overview of the field, then introduces the fundamental concepts, notation, and terminology associated with image representation and basic image processing operations. Next, it discusses MATLAB® and its Image Processing Toolbox with the start of a series of chapters with hands-on activities and step-by-step tutorials. These chapters cover image acquisition and digitization; arithmetic, logic, and geometric operations; point-based, histogram-based, and neighborhood-based image enhancement techniques; the Fourier Transform and relevant frequency-domain image filtering techniques; image restoration; mathematical morphology; edge detection techniques; image segmentation; image compression and coding; and feature extraction and representation. Part II: Video Processing presents the main concepts and terminology associated with analog video signals and systems, as well as digital video formats and standards. It then describes the technically involved problem of standards conversion, discusses motion estimation and compensation techniques, shows how video sequences can be filtered, and concludes with an example of a solution to object detection and tracking in video sequences using MATLAB®. Extra features of this book include: More than 30 MATLAB® tutorials, which consist of step-by-step guides toexploring image and video processing techniques using MATLAB® Chapters supported by figures, examples, illustrative problems, and exercises Useful websites and an extensive list of bibliographical references This accessible text is ideal for upper-level undergraduate and graduate students in digital image and video processing courses, as well as for engineers, researchers, software developers, practitioners, and anyone who wishes to learn about these increasingly popular topics on their own.

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704

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John Wiley & Sons

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ISBN 10

111809347X

ISBN 13

9781118093474

Practical Image and Video Processing Using MATLAB

By: Oge Marques

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Practical Image and Video Processing Using MATLAB

By: Oge Marques

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John Wiley & Sons

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111809347X

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9781118093474

Image Processing and Computer Vision in iOS

By: Oge Marques

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Image Processing and Computer Vision in iOS

By: Oge Marques

This book presents the fundamentals of mobile visual computing in iOS development and provides directions for developers and researchers interested in developing iOS applications with image processing and computer vision capabilities. Presenting a technical overview of some of the tools, languages, libraries, frameworks, and APIs currently available for developing iOS applications Image Processing and Computer Vision in iOS reveals the rich capabilities in image processing and computer vision. Its main goal is to provide a road map to what is currently available, and a path to successfully tackle this rather complex but highly rewarding task.

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Springer Nature

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ISBN 10

3030540324

ISBN 13

9783030540326

Segmentation and Separation of Overlapped Latent Fingerprints

Algorithms, Techniques, and Datasets

By: Branka Stojanović,Oge Marques,Aleksandar Nešković

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Segmentation and Separation of Overlapped Latent Fingerprints

Algorithms, Techniques, and Datasets

By: Branka Stojanović,Oge Marques,Aleksandar Nešković

This Springerbrief presents an overview of problems and technologies behind segmentation and separation of overlapped latent fingerprints, which are two fundamental steps in the context of fingerprint matching systems. It addresses five main aspects: (1) the need for overlapped latent fingerprint segmentation and separation in the context of fingerprint verification systems; (2) the different datasets available for research on overlapped latent fingerprints; (3) selected algorithms and techniques for segmentation of overlapped latent fingerprints; (4) selected algorithms and techniques for separation of overlapped latent fingerprints; and (5) the use of deep learning techniques for segmentation and separation of overlapped latent fingerprints. By offering a structured overview of the most important approaches currently available, putting them in perspective, and suggesting numerous resources for further exploration, this book gives its readers a clear path for learning new topics and engaging in related research. Written from a technical perspective, and yet using language and terminology accessible to non-experts, it describes the technologies, introduces relevant datasets, highlights the most important research results in each area, and outlines the most challenging open research questions. This Springerbrief targets researchers, professionals and advanced-level students studying and working in computer science, who are interested in the field of fingerprint matching and biometrics. Readers who want to deepen their understanding of specific topics will find more than one hundred references to additional sources of related information.

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Springer Nature

Published Date

ISBN 10

3030233642

ISBN 13

9783030233648

Innovative Technologies in Everyday Life

By: Oge Marques

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Innovative Technologies in Everyday Life

By: Oge Marques

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Springer

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3319456997

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9783319456997

Visual Information Retrieval Using Java and LIRE

By: Mathias Lux,Oge Marques

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Visual Information Retrieval Using Java and LIRE

By: Mathias Lux,Oge Marques

Focuses on a subset of visual information retrieval (VIR) problems where the media consists of images, and the indexing and retrieval methods are based on the pixel contents of those images -- an approach known as content-based image retrieval (CBIR). The book presents an implementation-oriented overview of CBIR concepts, techniques, algorithms, and figures of merit.

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115

Publisher

Morgan & Claypool Publishers

Published Date

ISBN 10

1608459187

ISBN 13

9781608459186

Image Processing Recipes in MATLAB®

By: Oge Marques,Gustavo Benvenutti Borba

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Image Processing Recipes in MATLAB®

By: Oge Marques,Gustavo Benvenutti Borba

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263

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CRC Press

Published Date

ISBN 10

1040024033

ISBN 13

9781040024034

Driver Drowsiness Detection

Systems and Solutions

By: Aleksandar Čolić,Oge Marques,Borko Furht

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Driver Drowsiness Detection

Systems and Solutions

By: Aleksandar Čolić,Oge Marques,Borko Furht

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Springer

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3319115359

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9783319115351

Content-Based Image and Video Retrieval

By: Oge Marques,Borko Furht

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Content-Based Image and Video Retrieval

By: Oge Marques,Borko Furht

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189

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Springer Science & Business Media

Published Date

ISBN 10

1461509874

ISBN 13

9781461509875

Optical Flow and Trajectory Estimation Methods

By: Joel Gibson,Oge Marques

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Optical Flow and Trajectory Estimation Methods

By: Joel Gibson,Oge Marques

This brief focuses on two main problems in the domain of optical flow and trajectory estimation: (i) The problem of finding convex optimization methods to apply sparsity to optical flow; and (ii) The problem of how to extend sparsity to improve trajectories in a computationally tractable way. Beginning with a review of optical flow fundamentals, it discusses the commonly used flow estimation strategies and the advantages or shortcomings of each. The brief also introduces the concepts associated with sparsity including dictionaries and low rank matrices. Next, it provides context for optical flow and trajectory methods including algorithms, data sets, and performance measurement. The second half of the brief covers sparse regularization of total variation optical flow and robust low rank trajectories. The authors describe a new approach that uses partially-overlapping patches to accelerate the calculation and is implemented in a coarse-to-fine strategy. Experimental results show that combining total variation and a sparse constraint from a learned dictionary is more effective than employing total variation alone. The brief is targeted at researchers and practitioners in the fields of engineering and computer science. It caters particularly to new researchers looking for cutting edge topics in optical flow as well as veterans of optical flow wishing to learn of the latest advances in multi-frame methods. /div

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Springer

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ISBN 10

3319449419

ISBN 13

9783319449418

Handbook of Video Databases

Design and Applications

By: Borko Furht,Oge Marques

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Handbook of Video Databases

Design and Applications

By: Borko Furht,Oge Marques

Technology has spurred the growth of huge image and video libraries, many growing into the hundreds of terabytes. As a result there is a great demand among organizations for the design of databases that can effectively support the storage, search, retrieval, and transmission of video data. Engineers and researchers in the field demand a comprehensi

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