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Digital media steganography
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ISBN: 0128194391 0128194383 9780128194393 9780128194386 Year: 2020 Publisher: London Academic Press

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"Covers fundamental theories and algorithms for practical design which form the basis of modern digital media steganography Provides new theoretical breakthroughs and a number of modern techniques in steganography Presents the latest advances in digital media steganography such as using deep learning and artificial neural network as well as Quantum Steganography"--


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Digital media steganography : principles, algorithms, and advances
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ISBN: 9780128194393 0128194391 9780128194386 Year: 2020 Publisher: London, England : Academic Press,

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"Covers fundamental theories and algorithms for practical design which form the basis of modern digital media steganography Provides new theoretical breakthroughs and a number of modern techniques in steganography Presents the latest advances in digital media steganography such as using deep learning and artificial neural network as well as Quantum Steganography"--


Book
Image Feature Detectors and Descriptors : Foundations and Applications
Authors: ---
ISBN: 3319288520 3319288547 Year: 2016 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book provides readers with a selection of high-quality chapters that cover both theoretical concepts and practical applications of image feature detectors and descriptors. It serves as reference for researchers and practitioners by featuring survey chapters and research contributions on image feature detectors and descriptors. Additionally, it emphasizes several keywords in both theoretical and practical aspects of image feature extraction. The keywords include acceleration of feature detection and extraction, hardware implantations, image segmentation, evolutionary algorithm, ordinal measures, as well as visual speech recognition. .


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Recent Advances in Computer Vision : Theories and Applications
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ISBN: 3030030008 3030029999 Year: 2019 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions. As such the book explores the latest trends in fashion creative processes, facial features detection, visual odometry, transfer learning, face recognition, feature description, plankton and scene classification, video face alignment, video searching, and object segmentation. It is intended for postgraduate students, researchers, scholars and developers who are interested in computer vision and connected research disciplines, and is also suitable for senior undergraduate students who are taking advanced courses in related topics. However, it is also provides a valuable reference resource for practitioners from industry who want to keep abreast of recent developments in this dynamic, exciting and profitable research field.


Digital
Image Feature Detectors and Descriptors : Foundations and Applications
Authors: ---
ISBN: 9783319288543 Year: 2016 Publisher: Cham Springer International Publishing

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Abstract

This book provides readers with a selection of high-quality chapters that cover both theoretical concepts and practical applications of image feature detectors and descriptors. It serves as reference for researchers and practitioners by featuring survey chapters and research contributions on image feature detectors and descriptors. Additionally, it emphasizes several keywords in both theoretical and practical aspects of image feature extraction. The keywords include acceleration of feature detection and extraction, hardware implantations, image segmentation, evolutionary algorithm, ordinal measures, as well as visual speech recognition. .


Book
Deep learning in computer vision : principles and applications
Authors: ---
ISBN: 1351003801 135100381X 1351003828 Year: 2020 Publisher: Boca Raton, FL : CRC Press/Taylor and Francis,

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"Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition"--

Keywords

Computer vision.


Book
Recent Advances in Computer Vision
Authors: --- ---
ISBN: 9783030030001 Year: 2019 Publisher: Cham Springer International Publishing :Imprint: Springer

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