Vision Models and Applications to Image and Video Processing

Vision Models and Applications to Image and Video Processing

Author: Christian J. van den Branden Lambrecht

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 235

ISBN-13: 1475734115

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In this introduction to vision models and their use in image and video processing applications, prominent authors take on an engineering and signal processing approach. It is intended for an engineering audience that wants to use and become familiar with vision models.


Sparse Modeling for Image and Vision Processing

Sparse Modeling for Image and Vision Processing

Author: Julien Mairal

Publisher: Now Publishers

Published: 2014-12-19

Total Pages: 216

ISBN-13: 9781680830088

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Sparse Modeling for Image and Vision Processing offers a self-contained view of sparse modeling for visual recognition and image processing. More specifically, it focuses on applications where the dictionary is learned and adapted to data, yielding a compact representation that has been successful in various contexts.


Computer Vision and Image Processing

Computer Vision and Image Processing

Author: Manas Kamal Bhuyan

Publisher: CRC Press

Published: 2019-11-05

Total Pages: 442

ISBN-13: 1351248383

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The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts like object classification, object tracking, image-based rendering, and image registration. Intended to be a companion to a typical teaching course on computer vision, the book takes a problem-solving approach.


Research Developments in Computer Vision and Image Processing

Research Developments in Computer Vision and Image Processing

Author: Rajeev Srivastava

Publisher:

Published: 2014

Total Pages: 0

ISBN-13: 9781466645585

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"This book brings together various research methodologies and trends in emerging areas of application of computer vision and image processing for those interested in the research developments of this rapidly growing field"--


Digital Video Quality

Digital Video Quality

Author: Stefan Winkler

Publisher: John Wiley & Sons

Published: 2013-05-28

Total Pages: 200

ISBN-13: 1118691261

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Visual quality assessment is an interdisciplinary topic that links image/video processing, psychology and physiology. Many engineers are familiar with the image/video processing; transmission networks side of things but not with the perceptual aspects pertaining to quality. Digital Video Quality first introduces the concepts of human vision and visual quality. Based on these, specific video quality metrics are developed and their design is presented. These metrics are then evaluated and used in a number of applications, including image/video compression, transmission and watermarking. Introduces the concepts of human vision and vision quality. Presents the design and development of specific video quality metrics. Evaluates video quality metrics in the context of image/video compression, transmission and watermarking. Presents tools developed for the analysis of video quality


Advanced Image and Video Processing Using MATLAB

Advanced Image and Video Processing Using MATLAB

Author: Shengrong Gong

Publisher: Springer

Published: 2018-08-21

Total Pages: 596

ISBN-13: 3319772236

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This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip reading in videos, moving object tracking, dynamic scene classification, among others. The book combines the latest machine learning methods with computer vision applications, covering topics such as event recognition based on deep learning,dynamic scene classification based on topic model, person re-identification based on metric learning and behavior analysis. It also offers a systematic introduction to image evaluation criteria showing how to use them in different experimental contexts. The book offers an example-based practical guide to researchers, professionals and graduate students dealing with advanced problems in image analysis and computer vision.


Selective Visual Attention

Selective Visual Attention

Author: Liming Zhang

Publisher: John Wiley & Sons

Published: 2013-03-15

Total Pages: 344

ISBN-13: 1118060059

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Visual attention is a relatively new area of study combining a number of disciplines: artificial neural networks, artificial intelligence, vision science and psychology. The aim is to build computational models similar to human vision in order to solve tough problems for many potential applications including object recognition, unmanned vehicle navigation, and image and video coding and processing. In this book, the authors provide an up to date and highly applied introduction to the topic of visual attention, aiding researchers in creating powerful computer vision systems. Areas covered include the significance of vision research, psychology and computer vision, existing computational visual attention models, and the authors' contributions on visual attention models, and applications in various image and video processing tasks. This book is geared for graduates students and researchers in neural networks, image processing, machine learning, computer vision, and other areas of biologically inspired model building and applications. The book can also be used by practicing engineers looking for techniques involving the application of image coding, video processing, machine vision and brain-like robots to real-world systems. Other students and researchers with interdisciplinary interests will also find this book appealing. Provides a key knowledge boost to developers of image processing applications Is unique in emphasizing the practical utility of attention mechanisms Includes a number of real-world examples that readers can implement in their own work: robot navigation and object selection image and video quality assessment image and video coding Provides codes for users to apply in practical attentional models and mechanisms


Image Processing and Computer Vision in iOS

Image Processing and Computer Vision in iOS

Author: Oge Marques

Publisher: Springer Nature

Published: 2020-11-23

Total Pages: 66

ISBN-13: 3030540324

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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.


Emerging Technologies in Intelligent Applications for Image and Video Processing

Emerging Technologies in Intelligent Applications for Image and Video Processing

Author: Santhi, V.

Publisher: IGI Global

Published: 2016-01-07

Total Pages: 543

ISBN-13: 1466696869

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Image and Video Processing is an active area of research due to its potential applications for solving real-world problems. Integrating computational intelligence to analyze and interpret information from image and video technologies is an essential step to processing and applying multimedia data. Emerging Technologies in Intelligent Applications for Image and Video Processing presents the most current research relating to multimedia technologies including video and image restoration and enhancement as well as algorithms used for image and video compression, indexing and retrieval processes, and security concerns. Featuring insight from researchers from around the world, this publication is designed for use by engineers, IT specialists, researchers, and graduate level students.


Nonlinear Model-Based Image/Video Processing and Analysis

Nonlinear Model-Based Image/Video Processing and Analysis

Author: C. Kotropoulos

Publisher: Wiley-Interscience

Published: 2001-04-24

Total Pages: 0

ISBN-13: 9780471377351

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A comprehensive survey of techniques and applications in image andvideo processing and analysis A widely varied selection of experts provides extensive coverage ofnonlinear model-based techniques in image and video processing andanalysis. This volume not only details new techniques in stillimage and digital video but also discusses applications in computervision, multimedia, and visual information retrieval systems. Allnonlinear, model-based techniques are detailed, and a complete andup-to-date accounting of the most important and effectivealgorithms is included for every application and techniquediscussed. The applications described also include such real-world uses asmultimedia information retrieval, automatic surveillance, liptracking, and much more. Analytical techniques such as Boolean andstack filters, rational functions, mathematical morphologytechniques, and adaptive order statistic filtering receive detailedtreatment as they apply to specific uses such as image compression,segmentation, old motion picture restoration, image/videointerpolation, and noise smoothing. Chapters include: * Optimal Design of Boolean and Stack Filters and Their Applicationin Image Processing * Image Processing Using Rational Functions * Mathematical Morphology and Motion Picture Restoration * Adaptive Order Statistic Filtering of Still Images and ImageSequences * Video Segmentation Based on Multiple Features for Interactive andAutomatic Multimedia Applications * Invariant Features in Pattern Recognition-Fundamentals andApplications * Image Models for Facial Feature Tracking Students, engineers, and scientists will appreciate both the widerange of expert opinion in this comprehensive volume and thedetailed coverage of the algorithms and mathematical models used instate-of-the-art image and video processing.