Image Description And Retrieval
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Content Based Image Retrieval
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Author : Vipin Tyagi
language : en
Publisher: Springer
Release Date : 2018-01-15
Content Based Image Retrieval written by Vipin Tyagi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-15 with Computers categories.
The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies. The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one, both for research and for commercial applications. The book explains the low-level features that can be extracted from an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a valuable resource for students and researchers interested in the area of CBIR alike.
Content Based Image And Video Retrieval
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Author : Oge Marques
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-04-30
Content Based Image And Video Retrieval written by Oge Marques and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-04-30 with Computers categories.
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.
Multimedia Information Retrieval And Management
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Author : David Feng
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Multimedia Information Retrieval And Management written by David Feng and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Technology & Engineering categories.
Multimedia information technologies, which provide comprehensive and intuitive information for a broad range of applications, have a strong impact on modem life, and have changed our way of learning and thinking. Over the past two decades, there has been an explosive growth in the use of digital multimedia (including audio, video, images and graphics) over the Internet and wireless communication. As the use of digital multimedia increases, effective data storage and management become increasingly important. In fields which use large quantities of data (e. g. audio, video, image and digital libraries; geographical and medical image databases; etc), we need to minimize the volume of data stored while meeting the often conflicting demand for accurate data representation. In addition, the data need to be managed such that it facilitates efficient searching, browsing and cooperative work. This area has been a very active research area in recent years. This book will provide readers with an up-to-date and comprehensive picture of cutting edge technologies in multimedia information retrieval and management, which directly affect our industry, economy and social life The book is divided into two major parts: Technological Fundamentals which covers the core theories of the area; and Applications which describes the broad range of practical uses for this technology.
Computer Vision Methods For Fast Image Classification And Retrieval
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Author : Rafał Scherer
language : en
Publisher: Springer
Release Date : 2019-01-29
Computer Vision Methods For Fast Image Classification And Retrieval written by Rafał Scherer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Computers categories.
The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as ‘hand-crafted features.’ It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images. Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book’s main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.
Symbolic Projection For Image Information Retrieval And Spatial Reasoning
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Author : Shi-Kuo Chang
language : en
Publisher: Elsevier
Release Date : 1996-04-02
Symbolic Projection For Image Information Retrieval And Spatial Reasoning written by Shi-Kuo Chang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-04-02 with Computers categories.
Information systems with an abundance of graphics data are growing rapidly due to advances in data storage technology, the development of multimedia communications across networks, and the fact that parallel computers are leading to faster image processing systems. This book addresses image information retrieval and spatial reasoning using an approach called Symbolic Projection, which supports descriptions of the image content on the basis of the spatial relationships between the pictorial objects. Image information systems have a wide variety of applications, including information retrieval on the World Wide Web, medical pictorial archiving, computer-aided design, robotics, and geographical information systems, and this book is comprehensively illustrated with examples from these areas. Symbolic Projection now forms the basis of an enormous number and range of information retrieval algorithms, and also supports query-by-picture and qualitative spatial reasoning. Both authors are international experts in the field, and the book will serve as an excellent source for those working in multimedia systems and image information systems who wish to find out more about this exciting area. - An all-inclusive source to the field--all you need to know - S-K. Chang is the leading authority in this field, which he pioneered - Includes a wide variety of applications, including information retrieval on the World Wide Web, computer-aided design, and geographical information systems
Image Description And Retrieval
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Author : Enrico Vicario
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Image Description And Retrieval written by Enrico Vicario and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
With the recent advances in multimedia technology, on-line libraries of digital images are assuming an ever increasing relevance within a wide range of information systems. Effective access to such archives requires on external textual keywords that conventional searching techniques based are complemented by content-based queries addressing appearing visual features of searched data. Central to this retrieval approach is the creation of models, which permit to abstract images into some space of features and support indexing and comparison of visual contents. Depending on the specific characteris tics of the images at hand, such models can rely on different facets of the informative contents of visual data: color and texture distribution, shape of appearing objects, spatial arrangement. This book introduces and exemplifies objectives and research themes in image modeling and retrieval. In the introductory chapter, the problem of image modeling and retrieval is motivated and discussed, and major entry-pointers to the literature are provided. Afterwards, different model ing approaches are addressed in six chapters contributed by major research groups in the field: modeling based on object shape is addressed in chapter 2 by F. Korn, N. Sidiropoulos, C. Faloutsos, E. Siegel, and Z. Protopapas, and in chapter 3 by R. Mehrotra and J. E. Gary; modeling based on color and texture distribution is addressed in chapter 4 by G. D. Finlayson, S. S. Chat terjee, and B. V. Funt, and in chapter 5 by I. Gagliardi, A.
Introduction To Information Retrieval
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Author : Christopher D. Manning
language : en
Publisher: Cambridge University Press
Release Date : 2008-07-07
Introduction To Information Retrieval written by Christopher D. Manning and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-07 with Computers categories.
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Content Based Retrieval Of Medical Images
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Author : Paulo Mazzoncini de Azevedo Marques
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2013
Content Based Retrieval Of Medical Images written by Paulo Mazzoncini de Azevedo Marques and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.
"The aim of this book is to present some of the recent developments in the areas of CBIR [content-based image retrieval] and CAD [computer-aided diagnosis], with particular reference to mammography and breast cancer"--Preface.
Image E Learning Understanding Information Retrieval Medical Proceedings Of The First International Workshop
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Author : Sergio Vitulano
language : en
Publisher: World Scientific
Release Date : 2003-10-17
Image E Learning Understanding Information Retrieval Medical Proceedings Of The First International Workshop written by Sergio Vitulano and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-10-17 with Computers categories.
This volume emphasizes the primary role played by images in computer science. In the last two decades images have replaced written texts; the enormous possibilities of the image language have overcome written language in an ever-more-restricted ambit.An image is better than one thousand words; so it was straightforward to apply visual language in the field of computer science. Nowadays everything that appears on a computer screen is an image, regardless of whether it is a word or a picture. Is it possible to realize an e-learning program without working in terms of images? The answer is undoubtedly no, even if several problems arise in this context: the qualitative and quantitative content of the image we need to use for a specific task; the psychological effect on the user, including the level of attention and the correct perception of the image significance. Most of these problems form the basis of image-understanding techniques.Widespread use of images requires organization of the information in the databank or database, whose dimensions are sometimes so wide as to be too complex to manage; therefore information retrieval techniques arise from this need. The new instruments used in image and/or remote diagnosis, image transmission, the respect of the law in force and the ever-more-relevant image storage capacity required for this task imply the use of techniques of visual language and information retrieval.The proceedings have been selected for coverage in:• Index to Scientific & Technical Proceedings® (ISTP® / ISI Proceedings)• Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)
Visual Information And Information Systems
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Author : Stéphane Bres
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-01-11
Visual Information And Information Systems written by Stéphane Bres and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-11 with Computers categories.
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.