Search (60 results, page 1 of 3)

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Abstract

Reviews the future possibilities of convergence of digital image storage and dissemination techniques, cable and high resolution television and networks such as the Internet, in bringing sophisticated multimedia information services into the home and businesses. Predicts the future of these systems in publishing, entertainment, education, health care, telephone systems, computer software use, and business and suggests that the ultimate converged system could provide homes and businesses with the means of sending and receiving information by facsimile transmission, making copies, and accessing information from CD-ROM and CD-I drives

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Abstract

Various kinds of knowledge organisation, such as thesauri, are routinely used to label or tag multimedia content such as images and music and to support information retrieval, i.e. user search for such content. In this paper, we outline why this is the case, in particular focusing on the semantic gap between content and concept based multimedia retrieval. We survey some indexing vocabularies used for multimedia retrieval, and argue that techniques such as thesauri will be needed for the foreseeable future in order to support users in their need for multimedia content. In particular, we argue that artificial intelligence techniques are not mature enough to solve the problem of indexing multimedia conceptually and will not be able to replace human indexers for the foreseeable future.

Content

Beitrag in einem Special issue: The Great Debate: "This House Believes that the Traditional Thesaurus has no Place in Modern Information Retrieval." [19 February 2015, 14:00-17:30 preceded by ISKO UK AGM and followed by networking, wine and nibbles; vgl.: http://www.iskouk.org/content/great-debate].

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Abstract

This paper centres on the tools for the management of new digital documents, which are not only textual, but also visual-video, audio or multimedia in the full sense. Among the aims is to demonstrate that operating within the terms of generic Information Retrieval through textual language only is limiting, and it is instead necessary to consider ampler criteria, such as those of MultiMedia Information Retrieval, according to which, every type of digital document can be analyzed and searched by the proper elements of language for its proper nature. MMIR is presented as the organic complex of the systems of Text Retrieval, Visual Retrieval, Video Retrieval, and Audio Retrieval, each of which has an approach to information management that handles the concrete textual, visual, audio, or video content of the documents directly, here defined as content-based. In conclusion, the limits of this content-based objective access to documents is underlined. The discrepancy known as the semantic gap is that which occurs between semantic-interpretive access and content-based access. Finally, the integration of these conceptions is explained, gathering and composing the merits and the advantages of each of the approaches and of the systems to access to information.

Date

22. 1.2012 13:02:10

Source

Knowledge organization. 39(2012) no.1, S.13-22

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Abstract

A model for analysing multimedia information is proposed from the point of view of the theory of communication. After a brief presentation of the complex map of the sciences that deal with multimedia communication in its different aspects, the current multimedia revolution is historically contextualized as a tendency towards messages that are able to build near-reality experiences (virtual reality). After setting the theoretical point of view, an analysis of multimedia messages is substantiated and a model is presented. The first part of the model deals with the different communications channels and tools: still images, movies, sounds, texts, text with illustrations, audiovisuals and interactive multimedia, with an emphasis in nontextual documents. The second part addresses the global properties of the multimedia message, which are of a textual and metatextual nature. The overlapping of media, channels, genres and messages-and the conscious and technical use of such interactions-is precisely one of the main and outstanding characteristics of the multimedia discourse, and requires specific moves in indexing languages development. The multimedia environment has also a great potential to promote a wider theory of knowledge organization, bringing closer distant fields like scientific and fictional indexing or verbal and image indexing. It is stated that such a unified theory requires a closer attention to the pragmatic aspects of indexing and the inclusion of new semantic layers. A simple indexing model is proposed to illustrate who to address these challenges.

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Classification

006.7 22

Date

7. 3.2007 19:30:22

DDC

006.7 22

Footnote

Rez. in: JASIST 58(2007) no.3, S.457-458 (A.M.A. Ahmad): "The concept of the semantic web has emerged because search engines and text-based searching are no longer adequate, as these approaches involve an extensive information retrieval process. The deployed searching and retrieving descriptors arc naturally subjective and their deployment is often restricted to the specific application domain for which the descriptors were configured. The new era of information technology imposes different kinds of requirements and challenges. Automatic extracted audiovisual features are required, as these features are more objective, domain-independent, and more native to audiovisual content. This book is a useful guide for researchers, experts, students, and practitioners; it is a very valuable reference and can lead them through their exploration and research in multimedia content and the semantic web. The book is well organized, and introduces the concept of the semantic web and multimedia content analysis to the reader through a logical sequence from standards and hypotheses through system examples, presenting relevant tools and methods. But in some chapters readers will need a good technical background to understand some of the details. Readers may attain sufficient knowledge here to start projects or research related to the book's theme; recent results and articles related to the active research area of integrating multimedia with semantic web technologies are included. This book includes full descriptions of approaches to specific problem domains such as content search, indexing, and retrieval. This book will be very useful to researchers in the multimedia content analysis field who wish to explore the benefits of emerging semantic web technologies in applying multimedia content approaches. The first part of the book covers the definition of the two basic terms multimedia content and semantic web. The Moving Picture Experts Group standards MPEG7 and MPEG21 are quoted extensively. In addition, the means of multimedia content description are elaborated upon and schematically drawn. This extensive description is introduced by authors who are actively involved in those standards and have been participating in the work of the International Organization for Standardization (ISO)/MPEG for many years. On the other hand, this results in bias against the ad hoc or nonstandard tools for multimedia description in favor of the standard approaches. This is a general book for multimedia content; more emphasis on the general multimedia description and extraction could be provided.
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.
The final part of the book discusses research in multimedia content management systems and the semantic web, and presents examples and applications for semantic multimedia analysis in search and retrieval systems. These chapters describe example systems in which current projects have been implemented, and include extensive results and real demonstrations. For example, real case scenarios such as ECommerce medical applications and Web services have been introduced. Topics in natural language, speech and image processing techniques and their application for multimedia indexing, and content-based retrieval have been elaborated upon with extensive examples and deployment methods. The editors of the book themselves provide the readers with a chapter about their latest research results on knowledge-based multimedia content indexing and retrieval. Some interesting applications for multimedia content and the semantic web are introduced. Applications that have taken advantage of the metadata provided by MPEG7 in order to realize advance-access services for multimedia content have been provided. The applications discussed in the third part of the book provide useful guidance to researchers and practitioners properly planning to implement semantic multimedia analysis techniques in new research and development projects in both academia and industry. A fourth part should be added to this book: performance measurements for integrated approaches of multimedia analysis and the semantic web. Performance of the semantic approach is a very sophisticated issue and requires extensive elaboration and effort. Measuring the semantic search is an ongoing research area; several chapters concerning performance measurement and analysis would be required to adequately cover this area and introduce it to readers."

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Theme

Computer Based Training

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Theme

Computer Based Training

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Theme

Computer Based Training

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Computer Based Training

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Abstract

Presents a 3 facet adaptive authoring model for online hypermedia information systems. It provides spatial reconfiguration of the presentation objects based on activation frequency, information content customization based on author specified criteria, and hypergraphic network optimization based on usage. Discusses the theory underlying the model, its architecture and hypermedia structure, and provides a preliminary quantitative measure and evaluation of its impact on authoring time, as well as study time

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Theme

Computer Based Training

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Theme

Computer Based Training

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Abstract

Discusses an architecture for knowledge-based hypermedia systems based on work from semantic databases. Its power derives from its use of a single, uniform data structure which can be used to store both the intensional and extensional information needed to generate hypermedia systems. The architecture is also sufficiently powerful to accomodate the representation of reasonable amount of knowledge within a hypermedia system. Work has been conducted in building a number of prototypes on a small information base of digital image data. The prototypes serve as demonstrators of systems for managing the large amount of information held by museums of their artifacts. The aim of this work is to demonstrate the flexibility of the architecture in sereving the needs of a number of distinct user groups. The first prototype has demonstrated that the virtual architecture is capable of supporting some of the main hypermedia access methods. The current demonstrator is being used to investigate the potential of the approach for handling multiple classifications of hypermedia material. The research is particularly directed at the incorporation of evolving temporal and spatial knowledge

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Theme

Computer Based Training

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Theme

Computer Based Training

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Abstract

How to design and develop, maintain and use a hypermedia interface is the topic of this book. Based on a ESPRIT workshop, it discusses actual methodological issues comprising theoretical design aspects as well as detailed practical design proposals

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Abstract

Presents a graph based object model that may be used as a uniform framework for direct manipulation of multimedia information. Outlines design and implementation issues for the MORE (Multimedia Object Retrieval Environment) prototype system. Discusses user interface functionalities. Presents interaction sessions including schema creation, information loading, and information retrieval