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Titlebook: Shape Analysis and Retrieval of Multimedia Objects; Maytham H. Safar,Cyrus Shahabi Book 2003 Springer Science+Business Media New York 2003

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1568-2358 alysis and Retrieval of Multimedia Objects. is designed to meet the needs of practitioners and researchers in industry, and graduate-level students in Computer Science.978-1-4613-5033-0978-1-4615-0349-1Series ISSN 1568-2358 Series E-ISSN 2945-5715
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MBC Optimization Techniquesilizing the symmetry property of the phase values of the Fourier transform of a real sequence under different rotations. The fundamental observations utilized by our techniques can be adapted and extended to be applicable to other frameworks and application domains.
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Book 2003 in practice today. In addition, this monograph addresses key methodological issues for evaluation of the shape retrieval methods. .Shape Analysis and Retrieval of Multimedia Objects. is designed to meet the needs of practitioners and researchers in industry, and graduate-level students in Computer
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Image Description Techniqueslarge volumes of multimedia data such as images. Images can be associated with both low-level semantics (color, texture, shape, and various spatial constraints), and high-level semantics (correspondence between image objects and real-world objects). “..”[91]. Therefore, a major data type stored and
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Image Similarity Measuresage, the relevant images can be retrieved efficiently upon request. Relevant images is a list of images from the database which are most “.”in some aspects to the query image. So the main issues of an image retrieval system are the proper indexing of images (see Chapter 7) and similarity comparison
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Image Shape Featureserms of properties of objects contained in images and in terms of relationships between such objects. These properties correspond to characteristics of objects’ position, size and shape. Each shape or image to be stored in the database is processed to obtain the shape features. Shape features are th
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Multidimensional Index Structures example, ., computer graphics, and multimedia applications try to find objects in a database that match a given object. Besides similarity matching, many other applications in the areas of cartography, computer vision, spatial reasoning, cognitive science, image and multimedia databases, and geogra
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