Colorization

Colorization PDF

Author: Wil Haygood

Publisher: Knopf

Published: 2021-10-19

Total Pages: 473

ISBN-13: 0525656871

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A NEW YORK TIMES CRITICS' TOP BOOK OF THE YEAR • BOOKLISTS' EDITOR'S CHOICE • ONE OF NPR'S BEST BOOK OF THE YEAR “At once a film book, a history book, and a civil rights book.… Without a doubt, not only the very best film book [but] also one of the best books of the year in any genre. An absolutely essential read.” —Shondaland This unprecedented history of Black cinema examines 100 years of Black movies—from Gone with the Wind to Blaxploitation films to Black Panther—using the struggles and triumphs of the artists, and the films themselves, as a prism to explore Black culture, civil rights, and racism in America. From the acclaimed author of The Butler and Showdown. Beginning in 1915 with D. W. Griffith's The Birth of a Nation—which glorified the Ku Klux Klan and became Hollywood's first blockbuster—Wil Haygood gives us an incisive, fascinating, little-known history, spanning more than a century, of Black artists in the film business, on-screen and behind the scenes. He makes clear the effects of changing social realities and events on the business of making movies and on what was represented on the screen: from Jim Crow and segregation to white flight and interracial relationships, from the assassination of Malcolm X, to the O. J. Simpson trial, to the Black Lives Matter movement. He considers the films themselves—including Imitation of Life, Gone with the Wind, Porgy and Bess, the Blaxploitation films of the seventies, Do The Right Thing, 12 Years a Slave, and Black Panther. And he brings to new light the careers and significance of a wide range of historic and contemporary figures: Hattie McDaniel, Sidney Poitier, Berry Gordy, Alex Haley, Spike Lee, Billy Dee Willliams, Richard Pryor, Halle Berry, Ava DuVernay, and Jordan Peele, among many others. An important, timely book, Colorization gives us both an unprecedented history of Black cinema and a groundbreaking perspective on racism in modern America.

Deep Learning By Example

Deep Learning By Example PDF

Author: Ahmed Menshawy

Publisher: Packt Publishing Ltd

Published: 2018-02-28

Total Pages: 442

ISBN-13: 178839576X

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Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner Key Features Get a first-hand experience of the deep learning concepts and techniques with this easy-to-follow guide Train different types of neural networks using Tensorflow for real-world problems in language processing, computer vision, transfer learning, and more Designed for those who believe in the concept of 'learn by doing', this book is a perfect blend of theory and code examples Book Description Deep learning is a popular subset of machine learning, and it allows you to build complex models that are faster and give more accurate predictions. This book is your companion to take your first steps into the world of deep learning, with hands-on examples to boost your understanding of the topic. This book starts with a quick overview of the essential concepts of data science and machine learning which are required to get started with deep learning. It introduces you to Tensorflow, the most widely used machine learning library for training deep learning models. You will then work on your first deep learning problem by training a deep feed-forward neural network for digit classification, and move on to tackle other real-world problems in computer vision, language processing, sentiment analysis, and more. Advanced deep learning models such as generative adversarial networks and their applications are also covered in this book. By the end of this book, you will have a solid understanding of all the essential concepts in deep learning. With the help of the examples and code provided in this book, you will be equipped to train your own deep learning models with more confidence. What you will learn Understand the fundamentals of deep learning and how it is different from machine learning Get familiarized with Tensorflow, one of the most popular libraries for advanced machine learning Increase the predictive power of your model using feature engineering Understand the basics of deep learning by solving a digit classification problem of MNIST Demonstrate face generation based on the CelebA database, a promising application of generative models Apply deep learning to other domains like language modeling, sentiment analysis, and machine translation Who this book is for This book targets data scientists and machine learning developers who wish to get started with deep learning. If you know what deep learning is but are not quite sure of how to use it, this book will help you as well. An understanding of statistics and data science concepts is required. Some familiarity with Python programming will also be beneficial.

Pro Photo Colorizing with GIMP

Pro Photo Colorizing with GIMP PDF

Author: Phillip Whitt

Publisher: Apress

Published: 2016-08-08

Total Pages: 192

ISBN-13: 148421949X

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Obtain techniques for adding color to black and white or monochrome photographic images using GIMP. In this book you'll also learn to create a hand-tinted effect to add an element of antiquity. Pro Photo Colorizing with GIMP also teaches techniques that enable you to selectively colorize images, mixing black and white with color. There are also tips to go the opposite way: converting color images into black and white (there's more to it than just removing color). Written with both beginning and experienced GIMP users in mind, Pro Photo Colorizing with GIMP shows you how to colorize black and white images to achieve a high degree of realism. What You'll Learn Gain a basic overview of the GIMP workspace, tools, color palettes, layers, and layer masks Learn how to make the proper tonal adjustments to black and white images before starting the colorizing process Complete simple colorizing exercises for beginners and progress to more advanced colorizing techniques Colorize skin, teeth, hair, and eyes Create a nostalgic hand-tinted look and selectively colorize (mixing color with black and white) to create interesting images Use textures and patterns to create artistic colorized images Properly convert color images into black and white Colorize black and white portraits, and re-colorize old faded color portraits Who This Book Is For GIMP users (but users of other photo editing software packages can benefit as well). It is especially useful for those who edit photographs, restore old photographs, or those who want to apply colorizing techniques for artistic effect.

Image Analysis and Recognition

Image Analysis and Recognition PDF

Author: Aurélio Campilho

Publisher: Springer Nature

Published: 2020-06-18

Total Pages: 449

ISBN-13: 303050347X

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This two-volume set LNCS 12131 and LNCS 12132 constitutes the refereed proceedings of the 17th International Conference on Image Analysis and Recognition, ICIAR 2020, held in Póvoa de Varzim, Portugal, in June 2020. The 54 full papers presented together with 15 short papers were carefully reviewed and selected from 123 submissions. The papers are organized in the following topical sections: image processing and analysis; video analysis; computer vision; 3D computer vision; machine learning; medical image and analysis; analysis of histopathology images; diagnosis and screening of ophthalmic diseases; and grand challenge on automatic lung cancer patient management. Due to the corona pandemic, ICIAR 2020 was held virtually only.

Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021

Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021 PDF

Author: Sazzad Hossain

Publisher: Springer Nature

Published: 2022-10-03

Total Pages: 756

ISBN-13: 9811924457

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This book includes papers in the research area of artificial intelligence, robotics and automation, IoT smart agriculture, data analysis and cloud computing, communication and technology, and signal and natural language processing. The book is a collection of research papers presented at the First International Conference on Fourth Industrial Revolution and Beyond (IC4IR 2021) organized by University Grants Commission of Bangladesh in association with IEEE Computer Society Bangladesh Chapter and Bangladesh Computer Society during December 10–11, 2021.

Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2021

Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2021 PDF

Author: Aboul Ella Hassanien

Publisher: Springer Nature

Published: 2021-11-08

Total Pages: 412

ISBN-13: 303089701X

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This proceeding book constitutes the refereed proceedings of the 7th International Conference on Advanced Intelligent Systems and Informatics (AISI 2021), which took place in Cairo, Egypt, during December 11-13, 2021, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications.

Computer Vision: Concepts, Methodologies, Tools, and Applications

Computer Vision: Concepts, Methodologies, Tools, and Applications PDF

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2018-02-02

Total Pages: 2451

ISBN-13: 1522552057

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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.

Multispectral Image Fusion and Colorization

Multispectral Image Fusion and Colorization PDF

Author: Yufeng Zheng (Associate professor)

Publisher:

Published: 2018

Total Pages: 396

ISBN-13: 9781510619067

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"This book provides a complete overview of the state of the art in color image fusion, the associated evaluation methods, and its range of applications. It presents a comprehensive overview of fusion metrics and a comparison of objective metrics and subjective evaluations. Part I addresses the historical background and basic concepts. Part II describes image fusion theory. Part III focuses on quantitative and qualitative evaluation. Part IV presents several fusion applications, including two primary multiscale fusion approaches - the image pyramid and wavelet transform - as they pertain to face matching, biomedical imaging, and night vision"--

Visual Information and Information Systems

Visual Information and Information Systems PDF

Author: Stéphane Bres

Publisher: Springer

Published: 2005-12-17

Total Pages: 291

ISBN-13: 3540323392

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Comprises 25 revised full papers presented at the 8th International Conference on Visual Information Systems, VISUAL 2005, held in Amsterdam, The Netherlands in July 2005. These represent the current state of the art of visual information processing, feature extraction and aggregation at semantic level and content-based retrieval, as well as the study of user intention in query processing, and issues of delivery and consumption of multimedia content.

Scale Space and Variational Methods in Computer Vision

Scale Space and Variational Methods in Computer Vision PDF

Author: Jan Lellmann

Publisher: Springer

Published: 2019-06-21

Total Pages: 574

ISBN-13: 303022368X

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This book constitutes the proceedings of the 7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019, held in Hofgeismar, Germany, in June/July 2019. The 44 papers included in this volume were carefully reviewed and selected for inclusion in this book. They were organized in topical sections named: 3D vision and feature analysis; inpainting, interpolation and compression; inverse problems in imaging; optimization methods in imaging; PDEs and level-set methods; registration and reconstruction; scale-space methods; segmentation and labeling; and variational methods.