Computer Vision for Multimedia Applications: Methods and Solutions

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Publisher : IGI Global
ISBN 13 : 1609600266
Total Pages : 354 pages
Book Rating : 4.66/5 ( download)

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Book Synopsis Computer Vision for Multimedia Applications: Methods and Solutions by : Wang, Jinjun

Download or read book Computer Vision for Multimedia Applications: Methods and Solutions written by Wang, Jinjun and published by IGI Global. This book was released on 2010-10-31 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents the latest developments in computer vision methods applicable to various problems in multimedia computing, including new ideas, as well as problems in computer vision and multimedia computing"--Provided by publisher.

Computer Vision for Multimedia Applications

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.77/5 ( download)

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Book Synopsis Computer Vision for Multimedia Applications by : Jinjun Wang

Download or read book Computer Vision for Multimedia Applications written by Jinjun Wang and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents the latest developments in computer vision methods applicable to various problems in multimedia computing, including new ideas, as well as problems in computer vision and multimedia computing"--Provided by publisher.

Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies

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Publisher : IGI Global
ISBN 13 : 1799844455
Total Pages : 324 pages
Book Rating : 4.57/5 ( download)

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Book Synopsis Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies by : Sarfraz, Muhammad

Download or read book Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies written by Sarfraz, Muhammad and published by IGI Global. This book was released on 2020-05-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two significant areas of study that are continually impacting various dimensions in computer science are computer vision and imaging. These technologies are rapidly enhancing how information and data is being exchanged and opening numerous avenues of advancement within areas such as multimedia and intelligent systems. The high level of applicability in computer vision and image processing requires significant research on the specific utilizations of these technologies. Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies is an essential reference source that discusses innovative developments in computational imaging for solving real-life issues and problems and addresses their execution in various disciplines. Featuring research on topics such as image modeling, remote sensing, and support vector machines, this book is ideally designed for IT specialists, scientists, researchers, engineers, developers, practitioners, industry professionals, academicians, and students seeking coverage on the latest developments and innovations in computer vision applications within the realm of multimedia systems.

Machine Learning in Computer Vision

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Publisher : Springer Science & Business Media
ISBN 13 : 1402032757
Total Pages : 253 pages
Book Rating : 4.52/5 ( download)

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Book Synopsis Machine Learning in Computer Vision by : Nicu Sebe

Download or read book Machine Learning in Computer Vision written by Nicu Sebe and published by Springer Science & Business Media. This book was released on 2005-10-04 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system. In this book, we address all these important aspects from a new perspective: that the key element in the current computer revolution is the use of machine learning to capture the variations in visual appearance, rather than having the designer of the model accomplish this. As a bonus, models learned from large datasets are likely to be more robust and more realistic than the brittle all-design models.

Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies

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Publisher : IGI Global
ISBN 13 : 1466660317
Total Pages : 391 pages
Book Rating : 4.11/5 ( download)

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Book Synopsis Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies by : Sarfraz, Muhammad

Download or read book Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies written by Sarfraz, Muhammad and published by IGI Global. This book was released on 2014-04-30 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 and Image Processing in Intelligent Systems and Multimedia Technologies features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in multimedia technologies. Covering a diverse set of research in these areas, this publication is ideally designed for use by academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

Image Technology

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Publisher : Springer Science & Business Media
ISBN 13 : 3642582885
Total Pages : 758 pages
Book Rating : 4.82/5 ( download)

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Book Synopsis Image Technology by : Jorge L.C. Sanz

Download or read book Image Technology written by Jorge L.C. Sanz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image processing and machine vision are fields of renewed interest in the commercial market. People in industry, managers, and technical engineers are looking for new technologies to move into the market. Many of the most promising developments are taking place in the field of image processing and its applications. The book offers a broad coverage of advances in a range of topics in image processing and machine vision.

Multimedia Interaction and Intelligent User Interfaces

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Publisher : Springer Science & Business Media
ISBN 13 : 1849965072
Total Pages : 306 pages
Book Rating : 4.71/5 ( download)

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Book Synopsis Multimedia Interaction and Intelligent User Interfaces by : Ling Shao

Download or read book Multimedia Interaction and Intelligent User Interfaces written by Ling Shao and published by Springer Science & Business Media. This book was released on 2010-09-11 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consumer electronics (CE) devices, providing multimedia entertainment and enabling communication, have become ubiquitous in daily life. However, consumer interaction with such equipment currently requires the use of devices such as remote controls and keyboards, which are often inconvenient, ambiguous and non-interactive. An important challenge for the modern CE industry is the design of user interfaces for CE products that enable interactions which are natural, intuitive and fun. As many CE products are supplied with microphones and cameras, the exploitation of both audio and visual information for interactive multimedia is a growing field of research. Collecting together contributions from an international selection of experts, including leading researchers in industry, this unique text presents the latest advances in applications of multimedia interaction and user interfaces for consumer electronics. Covering issues of both multimedia content analysis and human-machine interaction, the book examines a wide range of techniques from computer vision, machine learning, audio and speech processing, communications, artificial intelligence and media technology. Topics and features: introduces novel computationally efficient algorithms to extract semantically meaningful audio-visual events; investigates modality allocation in intelligent multimodal presentation systems, taking into account the cognitive impacts of modality on human information processing; provides an overview on gesture control technologies for CE; presents systems for natural human-computer interaction, virtual content insertion, and human action retrieval; examines techniques for 3D face pose estimation, physical activity recognition, and video summary quality evaluation; discusses the features that characterize the new generation of CE and examines how web services can be integrated with CE products for improved user experience. This book is an essential resource for researchers and practitioners from both academia and industry working in areas of multimedia analysis, human-computer interaction and interactive user interfaces. Graduate students studying computer vision, pattern recognition and multimedia will also find this a useful reference.

Computer Vision

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Publisher : Springer Nature
ISBN 13 : 3030343723
Total Pages : 925 pages
Book Rating : 4.29/5 ( download)

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Book Synopsis Computer Vision by : Richard Szeliski

Download or read book Computer Vision written by Richard Szeliski and published by Springer Nature. This book was released on 2022-01-03 with total page 925 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles. Topics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Incorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Includes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

Machine Learning Techniques for Multimedia

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Publisher : Springer Science & Business Media
ISBN 13 : 3540751718
Total Pages : 297 pages
Book Rating : 4.17/5 ( download)

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Book Synopsis Machine Learning Techniques for Multimedia by : Matthieu Cord

Download or read book Machine Learning Techniques for Multimedia written by Matthieu Cord and published by Springer Science & Business Media. This book was released on 2008-02-07 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Arising from the EU MUSCLE network, this multidisciplinary book provides a comprehensive coverage of the most important machine learning techniques used and their application in this domain.

Spatial Computing: Issues in Vision, Multimedia and Visualization Technologies

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Publisher : World Scientific
ISBN 13 : 9814497924
Total Pages : 336 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis Spatial Computing: Issues in Vision, Multimedia and Visualization Technologies by : T Caelli

Download or read book Spatial Computing: Issues in Vision, Multimedia and Visualization Technologies written by T Caelli and published by World Scientific. This book was released on 1997-08-27 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the result of a special workshop on Spatial Computing which brought together experts in computer vision, visualization, multimedia and geographic information systems to discuss common problems and applications. The common theme of the workshop was the need to integrate human perception and domain knowledge with developing representations and solutions to problems which necessarily involve the interpretation of sensed data. The overwhelming conclusion was that these different areas of spatial computing should be communicating more than is done at present and that such workshops and publications would help this process. Contents:Foreword (T Caelli et al.)Bayesian Paradigms in Image Processing (Z-Q Liu)Robot Navigation by Visual Dead-Reckoning: Inspiration From Insects (M V Srinivasan et al.)Assessing Feature Importance in the Context of Object Recognition (G A W West)Geometric Variations: Analysis, Optimisation and Control (B T Daniel et al.)Using Aspect Graphs to Control the Recovery and Tracking of Deformable Models (S J Dickinson & D Metaxas)The Role of Machine Learning in Building Image Interpretation Systems (T Caelli & W F Bischof)Recent Advances in Graph Matching (H Bunke & B T Messmer)Cooperative Spatial Reasoning for Image Understanding (T Matsuyama & T Wada)Human Understanding Limits in Visualization (A J Maeder)A Strategy and Architecture for the Visualisation of Complex Geographical Datasets (M Gahegan & D O'Bien)Visualizing Spatial Data: The Problem of Paradigms (P K Robertson)The Visitors Guide: A Simple Video Reuse Application (K Shearer et al.)Conceptual Representation for Multimedia Information (R W Smith et al.) Readership: Computer scientists. keywords:Machine Learning and Vision;Visualization;Geograpgic Information Systems;Object Recognition;Surveillance;Multimedia;Image Understanding