Search (177 results, page 1 of 9)

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Abstract

Universal Multimedia Access (UMA) deals with seamless access to once-only-created content via any kind of terminal and any kind of network connectivity, which implies that the content should be adapted in order to fit a variety of terminal and network characteristics, as well as user preferences. The MPEG-7 standard offers some support for UMA within its section on Multimedia Description Schemes (MDS). Within the standard, several groups of tools serve this purpose. For instance, the Navigation and Access Tools provide some Description Schemes that allow the description of adapted content variations and summaries and allow for preprocessed content versions. Some support is also found in the Content Metadata Tools (Media and Usage Tools), for real-time ease in creation of online content versions and in limited support for session description, which is completed in MPEG-21.

Source

Journal of the American Society for Information Science and Technology. 58(2007) no.9, S.1374-1376

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Footnote

Referat im Rahmen des Workshops 'Cooperation between Institutions concerning access to audiovisual and multimedia material' der IFLA Section on audiovisual and Multimedia, Jerusalem, 17.8.2000

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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

Footnote

Bezugnahme auf: Enser, P.G.B.: Visual image retrieval. In: Annual review of information science and technology. 42(2008), S.3-42.

Source

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

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Source

Journal of the American Society for Information Science and Technology. 58(2007) no.9, S.1321-1380

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Abstract

This paper will focus on the place of multimedia technology in education, and the need to consider pedagogical concerns which must to be addressed for such technology to be successfully applied

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Footnote

Part of a special issue featuring papers from the workshop on hypermedia and hypertext standards held in Amsterdam, Netherlands, 22-23 April 1993

Source

Information services and use. 13(1993) no.2, S.89-91

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Abstract

Considers the new roles of those involved in multimedia, the information superhighway and electronic publishing. The growth of technology has developed the market of the home computer, multimedia machines, CD-ROM and the Internet. discusses the use of information highways, interactive television, standards for those media and sources of funding

Source

Bulletin des Bibliothèques de France. 40(1995) no.2, S.18-22

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Abstract

Over the past few years multimedia technology has matured dramatically and its widespread use in daily life is leading to the convergence of the entertainment, education and information industries. Describes some international projects which combine imaging and multimedia for the preservation of cultural heritage artifacts. Discusses issues facing the multimedia industry including standardization; database management; indexing multimedia, networked mutlimedia; intellectual property issues; legal issues; and the multimedia market. Considers the role of the information industry and the impact of multimedia technolgy on libraries and information centres

Source

Journal of information; communication; and library science. 2(1995) no.1, S.11-24

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Abstract

The use of multimedia technology can facilitate access to archives and special collections and, once they are digitized, they are preserved and can be reproduced easily. Describes how the library of Lund University in Sweden has provided access to some of its special collections using a VTLS Infostation, a hypermedia information access and authoring system for library automation, by creating some prototypes og inhouse multimedia products

Source

Audiovisual librarian. 22(1996) no.3, S.194-197

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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."

LCSH

Information storage and retrieval systems

RSWK

Semantic Web / Multimedia / Automatische Indexierung / Information Retrieval

Subject

Semantic Web / Multimedia / Automatische Indexierung / Information Retrieval
Information storage and retrieval systems

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Abstract

Although Twinfo BV, Netherlands, is not a publisher, it has for 20 years been occupied with new development in electronic publishing and gained expertise in the field of online information retrieval (terminal emulation and client server), CD-ROMs, interactive television and other interactive media forms via government bodies that in practice are often acting as publishers wanting to open up new markets. Focuses on the concept of multimedia information kiosks

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Abstract

Examines the market for multimedia systems in business. Describes multimedia systems and potential users. Describes aerly uses of multimedia for training, point of sale and point of information systems, and niche markets. Discusses emerging standards, and business applications such as desktop presentation, information access, just-in-time training. Examines the potential of multimedia communications systems for video mail, videoconferencing on the desktop and work group support

Source

Information management and technology. 26(1993) no.5, S.222-225,228

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Abstract

Reports results of the MARS project, conducted at Illinois University, to bring together researchers in the fields of computer vision, compression, information management and database systems with the goal of developing an effective multimedia database management system. Describes the first step, involving the design and implementation of an image retrieval system incorporating novel approaches to image segmentation, representation, browsing and information retrieval supported by the developed system. Points to future directions for the MARS project

Date

22. 9.1997 19:16:05

Imprint

Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Department of Library and Information Science

Source

Digital image access and retrieval: Proceedings of the 1996 Clinic on Library Applications of Data Processing, 24-26 Mar 1996. Ed.: P.B. Heidorn u. B. Sandore

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Abstract

Presents a multimedia model which describes the various multimedia components, their structure and their relationships with a pre-defined taxonomy of concepts, in order to support search engine information retrieval process

Date

1. 8.1996 22:08:06

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Abstract

Reviews early developments in multimedia, its uses, and its role as a learning and teaching tool. Briefly discusses early multimedia programmes and projects in colleges and schools and gives basic information about multimedia technology which provides information regarding multimedia system configuration and suggests upgrading exisitng personal computers to multimedia systems for those institutions and individuals with financial constraints

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Abstract

Improvements in network bandwidth along with dramatic drops in digital storage and processing costs have resulted in the explosive growth of multimedia (combinations of text, image, audio, and video) resources on the Internet and in digital repositories. A suite of computer technologies delivering speech, image, and natural language understanding can automatically derive descriptive metadata for such resources. Difficulties for end users ensue, however, with the tremendous volume and varying quality of automated metadata for multimedia information systems. This lecture surveys automatic metadata creation methods for dealing with multimedia information resources, using broadcast news, documentaries, and oral histories as examples. Strategies for improving the utility of such metadata are discussed, including computationally intensive approaches, leveraging multimodal redundancy, folding in context, and leaving precision-recall tradeoffs under user control. Interfaces building from automatically generated metadata are presented, illustrating the use of video surrogates in multimedia information systems. Traditional information retrieval evaluation is discussed through the annual National Institute of Standards and Technology TRECVID forum, with experiments on exploratory search extending the discussion beyond fact-finding to broader, longer term search activities of learning, analysis, synthesis, and discovery.

Content

Table of Contents: Evolution of Multimedia Information Systems: 1990-2008 / Survey of Automatic Metadata Creation Methods / Refinement of Automatic Metadata / Multimedia Surrogates / End-User Utility for Metadata and Surrogates: Effectiveness, Efficiency, and Satisfaction

Series

Synthesis lectures on information concepts, retrieval & services

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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

Source

Information and software technology. 36(1994) no.6, S.323-329

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Abstract

Describes the work of the Working Group 8 of ISO/IEC Joint Technical Committee 1 subcommittee 18 (JTC1/SC18/WG8) which is developing information technology standards for use in text and Office systems. In 1986 the Standard Generalized Markup Language (SGML) was introduced as one of the key standards in developing systems for open information interchange. In Nov 92 the Hypermedia/Time-based Structuring Language (HyTime) detailed in ISO 10744 was introduced for the interchange of multimedia and hypermedia. They are currently working on a Standard Multimedia Scripting Language (SMSL) which will enable system developers to interchange multimedia scripts, probably using the UK developed Architecture Neutral Distribution Format (ANDF)

Source

Information services and use. 13(1993) no.2, S.93-102

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Abstract

Currently, there is no structured data standard for representing elements commonly found in transmedia fictional worlds. Although there are websites dedicated to individual universes, the information found on these sites separate out the various formats, concentrate on only the bibliographic aspects of the material, and are only searchable with full text. We have created an ontological model that will allow various user groups interested in transmedia to search for and retrieve the information contained in these worlds based upon their structure. We conducted a domain analysis and user studies based on the contents of Harry Potter, Lord of the Rings, the Marvel Universe, and Star Wars in order to build a new model using Ontology Web Language (OWL) and an artificial intelligence-reasoning engine. This model can infer connections between transmedia properties such as characters, elements of power, items, places, events, and so on. This model will facilitate better search and retrieval of the information contained within these vast story universes for all users interested in them. The result of this project is an OWL ontology reflecting real user needs based upon user research, which is intuitive for users and can be used by artificial intelligence systems.

Source

Journal of the Association for Information Science and Technology. 68(2017) no.12, S.2771-2782

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Abstract

Recent technological developments have increased the use of machine learning to solve many problems, including many in information retrieval. Multimedia information retrieval as a problem represents a significant challenge to machine learning as a technological solution, but some problems can still be addressed by using appropriate AI techniques. We review the technological developments and provide a perspective on the use of machine learning in conjunction with knowledge organization to address multimedia IR needs. The semantic gap in multimedia IR remains a significant problem in the field, and solutions to them are many years off. However, new technological developments allow the use of knowledge organization and machine learning in multimedia search systems and services. Specifically, we argue that, the improvement of detection of some classes of lowlevel features in images music and video can be used in conjunction with knowledge organization to tag or label multimedia content for better retrieval performance. We provide an overview of the use of knowledge organization schemes in machine learning and make recommendations to information professionals on the use of this technology with knowledge organization techniques to solve multimedia IR problems. We introduce a five-step process model that extracts features from multimedia objects (Step 1) from both knowledge organization (Step 1a) and machine learning (Step 1b), merging them together (Step 2) to create an index of those multimedia objects (Step 3). We also overview further steps in creating an application to utilize the multimedia objects (Step 4) and maintaining and updating the database of features on those objects (Step 5).