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› Find signed collectible books: 'Content-Based Access to Multimedia Information: From Technology Trends to State of the Art (The Springer International Series in Engineering and Computer Science)'
The technical ability to generate volumes of digital multimedia data is becoming increasingly `mainstream' in today's electronic world. Online services create volumes of primarily textual information, such as news reports, product reviews, and email chronicles. Advances in digital video technology have given organizations the capability to amass visual records and produce collections of surveillance monitoring data streams. With this ability to generate and archive volumes of data comes the potential of deriving or recalling information and knowledge from these data histories. To effectively utilize the growing number of multimedia data repositories, there is a convergence in technologies from large-scale data management, semantic-oriented media (text, image, and video) understanding, and multi-source trend analysis. This convergence is not straightforward and introduces a significant challenge in construction solutions that offer scalable deployment with semantically rich quality. The Microelectronics and Computer Technology Corporation (MCC) and its member companies carried out a study in 1997 to investigate the state of the art in technologies for annotating and manipulating large-scale networks of multimedia information objects with content-based concepts. Content-Based Access to Multimedia Information: From Technology Trends to State of the Art documents the study's technology assessment and identifies shortcomings where further research and integration of technologies are needed to meet anticipated application requirements. The major points highlighted in this book can be used as cornerstones for defining advanced research and development directions, and opportunities to exploit the content available in networks of large-scale multi-media sources. Based on the results of the study, MCC initiated the Content-Based Access to Multimedia (CBAM) Information project to investigate semantically-oriented access to large-scale image and video repositories. The project focuses on concept extraction, annotation, and collection principles applied in and across large-scale image and video repositories. Content-Based Access to Multimedia Information: From Technology Trends to State of the Art demonstrates proof-of-concept environments where multimedia objects acquire semantic content annotations and become elements exploited in distributed information-gathering applications.
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› Find signed collectible books: 'Digital Geometry: Geometric Methods for Digital Picture Analysis (The Morgan Kaufmann Series in Computer Graphics)'
Digital geometry is about deriving geometric information from digital pictures. The field emerged from its mathematical roots some forty-years ago through work in computer-based imaging, and it is used today in many fields, such as digital image processing and analysis (with applications in medical imaging, pattern recognition, and robotics) and of course computer graphics. Digital Geometry is the first book to detail the concepts, algorithms, and practices of the discipline. This comphrehensive text and reference provides an introduction to the mathematical foundations of digital geometry, some of which date back to ancient times, and also discusses the key processes involved, such as geometric algorithms as well as operations on pictures.
*A comprehensive text and reference written by pioneers in digital geometry, image processing and analysis, and computer vision
*Provides a collection of state-of-the-art algorithms for a wide variety of geometrical picture analysis tasks, including extracting data from digital images and making geometric measurements on the data
*Includes exercises, examples, and references to related or more advanced work
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› Find signed collectible books: 'Digital Picture Processing'
The rapid rate at which the field of digital picture processing has grown in the past five years had necessitated extensive revisions and the introduction of topics not found in the original edition.
› Find signed collectible books: 'Digital Picture Processing (Computer science and applied mathematics series)'
Book by Rosenfeld, Azriel, Kak, Avinash C.
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› Find signed collectible books: 'Digital Picture Processing, Two -Volume Set, Volume 1-2 (Computer Science and Scientific Computing)'
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› Find signed collectible books: 'Digital Picture Processing, Volume 2, Second Edition (Computer Science and Scientific Computing)'
Book by Rosenfeld, Azriel
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› Find signed collectible books: 'Human and Machine Vision (Notes and Reports in Computer Science and Applied Mathematics, 8)'
Book by Conference on Human and Machine Vision (1981 : Denver, Colo.), Hope, Barbara, Rosenfeld, Azriel, Beck, Jacob, National Science Foundation (U. S.)
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› Find signed collectible books: 'Image Modeling.'
Book by Rosenfeld, Azriel
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› Find signed collectible books: 'Introduction to Algebraic Structures'
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› Find signed collectible books: 'Picture Languages: Formal Models for Picture Recognition (Computer science and applied mathematics)'
Book by Rosenfeld, Azriel
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› Find signed collectible books: 'Picture Processing and Psychopictorics: Pictorial Pattern Perception'
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› Find signed collectible books: 'Picture Processing By Computer (Computer Science And Applied Mathematics)'
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› Find signed collectible books: 'A Pyramid Framework for Early Vision: Multiresolutional Computer Vision (The Springer International Series in Engineering and Computer Science)'
Biological visual systems employ massively parallel processing to perform real-world visual tasks in real time. A key to this remarkable performance seems to be that biological systems construct representations of their visual image data at multiple scales. A Pyramid Framework for Early Vision describes a multiscale, or `pyramid', approach to vision, including its theoretical foundations, a set of pyramid-based modules for image processing, object detection, texture discrimination, contour detection and processing, feature detection and description, and motion detection and tracking. It also shows how these modules can be implemented very efficiently on hypercube-connected processor networks. A Pyramid Framework for Early Vision is intended for both students of vision and vision system designers; it provides a general approach to vision systems design as well as a set of robust, efficient vision modules.
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› Find signed collectible books: 'Vision Geometry: Proceedings of an Ams Special Session Held October 20-21, 1989 (Contemporary Mathematics)'
Since its genesis more than thirty-five years ago, the field of computer vision has been known by various names, including pattern recognitions, image analysis, and image understanding. The central problem of computer vision is obtaining descriptive information by computer analysis of images of a scene. Together with the related fields of image processing and computer graphics, it has become an established discipline at the interface between computer science and electrical engineering. This volume contains fourteen papers presented at the AMS Special Session on Geometry Related to Computer Vision, held in Hoboken, New Jersey in October 1989.This book makes the results presented at the Special Session, which previously had been available only in the computer science literature, more widely available within the mathematical sciences community. Geometry plays a major role in computer vision, since scene descriptions always involve geometrical properties of, and relations among, the objects or surfaces in the scene. The papers in this book provide a good sampling of geometric problems connected with computer vision. They deal with digital lines and curves, polygons, shape decompositions, digital connectedness and surfaces, digital metrics, and generalizations to higher-dimensional and graph-structured 'spaces'. Aimed at computer scientists specializing in image processing, computer vision, and pattern recognition - as well as mathematicians interested in applications to computer science - this book will provide readers with a view of how geometry is currently being applied to problems in computer vision.
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