Search (6 results, page 1 of 1)

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Classification

006.7 22

Date

7. 3.2007 19:30:22

DDC

006.7 22

Footnote

Semantic web technologies are explained, and ontology representation is emphasized. There is an excellent summary of the fundamental theory behind applying a knowledge-engineering approach to vision problems. This summary represents the concept of the semantic web and multimedia content analysis. A definition of the fuzzy knowledge representation that can be used for realization in multimedia content applications has been provided, with a comprehensive analysis. The second part of the book introduces the multimedia content analysis approaches and applications. In addition, some examples of methods applicable to multimedia content analysis are presented. Multimedia content analysis is a very diverse field and concerns many other research fields at the same time; this creates strong diversity issues, as everything from low-level features (e.g., colors, DCT coefficients, motion vectors, etc.) up to the very high and semantic level (e.g., Object, Events, Tracks, etc.) are involved. The second part includes topics on structure identification (e.g., shot detection for video sequences), and object-based video indexing. These conventional analysis methods are supplemented by results on semantic multimedia analysis, including three detailed chapters on the development and use of knowledge models for automatic multimedia analysis. Starting from object-based indexing and continuing with machine learning, these three chapters are very logically organized. Because of the diversity of this research field, including several chapters of recent research results is not sufficient to cover the state of the art of multimedia. The editors of the book should write an introductory chapter about multimedia content analysis approaches, basic problems, and technical issues and challenges, and try to survey the state of the art of the field and thus introduce the field to the reader.

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Abstract

Drawing on the research of experts from the fields of computing and library science, this ground-breaking work will show you how to combine two very different approaches to classification to create more effective, user-friendly information-retrieval systems. * Provides an interdisciplinary overview of current and potential approaches to organizing information by subject * Covers both pure computer science and pure library science topics in easy-to-understand language accessible to audiences from both disciplines * Reviews technological standards for representation, storage, and retrieval of varied knowledge-organization systems and their constituent elements * Suggests a collaborative approach that will reduce duplicate efforts and make it easier to find solutions to practical problems.

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Abstract

This book's purpose is to teach people who will be searching or designing text retrieval systems how the systems work. For designers, it covers problems they will face and reviews currently available solutions to provide a basis for more advanced study. For the searcher its purpose is to describe why such systems work as they do. Text Information Retrieval Systems, Second Edition is primarily about computer-based retrieval systems, but the principles apply to non-mechanized ones as well. - Winner of the ASIS Best Information Science Book Award 2000!

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Abstract

The book covers multimedia ontology in heritage preservation with intellectual explorations of various themes of Indian cultural heritage. The result of more than 15 years of collective research, Multimedia Ontology: Representation and Applications provides a theoretical foundation for understanding the nature of media data and the principles involved in its interpretation. The book presents a unified approach to recent advances in multimedia and explains how a multimedia ontology can fill the semantic gap between concepts and the media world. It relays real-life examples of implementations in different domains to illustrate how this gap can be filled. The book contains information that helps with building semantic, content-based search and retrieval engines and also with developing vertical application-specific search applications. It guides you in designing multimedia tools that aid in logical and conceptual organization of large amounts of multimedia data. As a practical demonstration, it showcases multimedia applications in cultural heritage preservation efforts and the creation of virtual museums. The book describes the limitations of existing ontology techniques in semantic multimedia data processing, as well as some open problems in the representations and applications of multimedia ontology. As an antidote, it introduces new ontology representation and reasoning schemes that overcome these limitations. The long, compiled efforts reflected in Multimedia Ontology: Representation and Applications are a signpost for new achievements and developments in efficiency and accessibility in the field.

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Footnote

Chu's intent with this book is clear throughout the entire text. With this presentation, she writes with the novice in mind or as she puls it in the Preface, "to anyone who is interested in learning about the field, particularly those who are new to it." After reading the text, I found that this book is also an appropriate reference book for those who are somewhat advanced in the field. I found the chapters an information retrieval models and techniques, metadata, and AI very informative in that they contain information that is often rather densely presented in other texts. Although, I must say, the metadata section in Chapter 3 is pretty basic and contains more questions about the area than information. . . . It is an excellent book to have in the classroom, an your bookshelf, etc. It reads very well and is written with the reader in mind. If you are in need of a more advanced or technical text an the subject, this is not the book for you. But, if you are looking for a comprehensive, manual that can be used as a "flip-through," then you are in luck."

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Footnote

Other selected specialized metadata element sets or schemas, such as Government Information Locator Service (GILS), are presented. Attention is brought to the different sets of elements and the need for linking up these elements across metadata schemes from a semantic point of view. It is no surprise, then, that after the presentation of additional specialized sets of metadata from the educational community and the arts sector, attention is turned to the discussion of Crosswalks between metadata element sets or the mapping of one metadata standard to another. Finally, the five appendices detailing elements found in Dublin Core, GILS, ARIADNE versions 3 and 3. 1, and Categories for the Description of Works of Art are an excellent addition to this chapter's focus on metadata and communities of practice. Chapters 3-6 provide an up-to-date account of the use of metadata standards in Libraries from the point of view of a community of practice. Some of the content standards included in these four chapters are AACR2, Dewey Decimal Classification (DDC), and Library of Congress Subject Classification. In addition, uses of MARC along with planned implementations of the archival community's encoding scheme, EAD, are covered in detail. In a way, content in these chapters can be considered as a refresher course on the history, current state, importance, and usefulness of the above-mentioned standards in Libraries. Application of the standards is offered for various types of materials, such as monographic materials, continuing resources, and integrating library metadata into local catalogs and databases. A review of current digital library projects takes place in Chapter 7. While details about these projects tend to become out of date fast, the sections on issues and problems encountered in digital projects and successes and failures deserve any reader's close inspection. A suggested model is important enough to merit a specific mention below, in a short list format, as it encapsulates lessons learned from issues, problems, successes, and failures in digital projects. Before detailing the model, however, the various projects included in Chapter 7 should be mentioned. The projects are: Colorado Digitization Project, Cooperative Online Resource Catalog (an Office of Research project by OCLC, Inc.), California Digital Library, JSTOR, LC's National Digital Library Program and VARIATIONS.