Search (173 results, page 1 of 9)

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Abstract

Tests were carried out on 120 grade 6 students to compare Compton's Multimedia Encyclopedia on CD-ROM and its printe equivalent in terms of students' ability to recall information and to draw inferences from it. Between-subject varaibles were 3 presentation conditions (printed text with illustrations, text-on-screen, and multimedia-text, still images, and animation) and a retrieval condition (topic retrieved before viewing / topic presented without retrieval). Within-subject variables were text complexity (complex or simple), text type (descriptive or procedural), and measure (propositions recalled versus propositions inferred). Presentation conditions produced no significant main effect although text-on-screen resulted in somewhat higher recall and multimedia resulted in somewhat higher inference scores. Multimedia had the greatest effect in the case of simple topics, and especially the simple procedural topic

Source

Journal of the American Society for Information Science. 45(1994) no.7, S.515-528

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Footnote

Zugl.: Cardiff, Univ. of Wales, Diss., 1990

LCSH

Library science / Technological innovations

Subject

Library science / Technological innovations

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Abstract

A brief overview on the recent technological development in the area of multimedia technologies to enhance information access. Topics covered will include analog videodisc, digital technologies and their interactive applications, and the current media-mixed information provision environment. As an illustration to the technological development discussed. an update the recent development of the 6-year R&D project, PROJECT EMPEROR-I. will he given. Implications of these technologies in enhancing information access and provision will he discussed.

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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).

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Abstract

Models administrative and operating costs surrounding a hypermedia database and determines 7 conditions for the cost justification of hypermedia; higher linking costs proportionately reduce the total number of links implemented; increasing the benefits from using the database increases the total number of links proportionately; increasing database size results in an increase in the total number of links implemented; if the database user learns from the database slowly, then a larger number of links need to be provided: the maximum size of databases which is justified on cost will increase as the average cost of linking each node becomes smaller; the total benefit from usage required in order to cost justify a database will decrease as the average cost of linking each node becomes smaller and the maximum size of database which is cost justified will increase rapidly as the learning rate increases. The learning rate can be increased by construction of links and nodes so that they are maximally informative

Date

7. 3.1999 14:22:45

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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

The workshop aimed to provide a forum for researchers and practitioners from a variety of backgrounds to discuss the many facets of hypermedia design. Among the specific topics covered by the papers are: design methods, multimedia modelling, higher structures in hypermedia design spaces, user-interface design for hypermedia, building distributed web applications, and hyperdialogues. The resulting volume provides a comprehensive overview of the state of the art in this important field

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Abstract

Reports the 3rd and final phase of a research project to investigate the role of animation in enhancing recall and comprehension of text by grade 6 primary school students. Its aims were to: determine whether a complex descriptive text is enhanced by animation so long as the animation exhibits close semantic links with the text; to explore the importance of captions in linking an animation with a text so as to increase comprehension of that text; and to investigate the relationship between students' spatial skills and their ability to recall and comprehend a text enhanced with still images and animation. A descriptive text on the structure and functions of the heart from Compton's Multimedia Encyclopedia was used

Source

Journal of the American Society for Information Science. 47(1996) no.6, S.437-448

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Abstract

Reports the results from the 2nd phase of a cognitive study of multimedia and its effect on children's learning. A sample of 12 year old primary schools viewed a procedural text that included a 4 sequence animation with captions on how to find south using the sun's shadow, adapted from Compton's Mutlimedia Encyclopedia using Apple QuickTime. The children were divided into 4 grouos; text plus animation, text plus catptions plus animation; and caption with animation. They were then asked to undertake to recall in their own words what they had learned, and also to enact how they would find south usng a specially designed model. No significant differences were found among the groups regarding literal recall of what they had read and seen, or in their ability to draw inferences from it. The children in the text plus animation and captions groups, however, were more successful at identifying the major steps in the procedure and at enhancing that procedure whereas the children who read the text only experienced the most difficulty in performing the procedure

Source

Journal of the American Society for Information Science. 46(1995) no.5, S.340-347

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Abstract

Awareness of another's activity is an important aspect of facilitating collaboration between users, enabling an "understanding of the activities of others" (Dourish & Bellotti, 1992). In this paper we investigate the role of awareness and its effect on search performance and behaviour in collaborative multimedia retrieval. We focus on the scenario where two users are searching at the same time on the same task, and via an interface, can see the activity of the other user. The main research question asks: does awareness of another searcher aid a user when carrying out a multimedia search session? To encourage awareness, an experimental study was designed where two users were asked to compete to find as many relevant video shots as possible under different awareness conditions. These were individual search (no awareness), Mutual awareness (where both users could see the other's search screen), and unbalanced awareness (where one user is able to see the other's screen, but not vice-versa). Twelve pairs of users were recruited, and the four worst performing TRECVID 2006 search topics were used as search tasks, under four different awareness conditions. We present the results of this study, followed by a discussion of the implications for multimedia information retrieval systems.

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Abstract

Describes technological developments that have taken place in the last 12 months that are bringing widespread use of multimedia systems closer. Outlines some real world practical uses of multimedia systems and looks to future growth in their use

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Abstract

Analyzes the fundamental role that the new optical multimedia information technologies play in museums as a solution to problems in the management of museum documentation and assesses the advantages that this new technology can give to museums. Notes the new optical means of information storage and the problems hindering the hypermedia interactive development in these institutions: legal, technological, standardization and resources. Describes a range of multimedia projects in the art information community

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Abstract

Compilation of overhead sheets of papers given at the workshop. Describes standards for multimedia and hypermedia

Footnote

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

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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.

Source

Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch

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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

Considers the new Guidelines for bibliographic description of interactive multimedia published by the ALA in 1994. Examines the current and future status of the Guidelines and discusses the problems involved in applying them to the media coming into the library at La Trobe University, Victoria, Australia

Footnote

Paper presented at the Australian Committee on Cataloguing (ACOC) seminar 'Rule revisions: who needs them' held prior to the National Cataloguing Conference in Oct. 95

Source

Cataloguing Australia. 22(1996) nos.1/2, S.17-20

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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

Footnote

Contribution to a special issue devoted to the Proceedings of the 7th International World Wide Web Conference, held 14-18 April 1998, Brisbane, Australia

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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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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."