Search (7 results, page 1 of 1)

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Abstract

News is information about recent events of general interest, especially as currently reportes by newspapers, periodicals, radio or television. News is the quintessential multimedia data. While newspaper editors (human and/or algorithmic) may still define the core content of electronic news, new communication technologies will enable the integration of news from a wide variety of sources and provide access to supplemental material from enormous archives of electronic news data (text, photos, and video) in digital libraries as well as the continual streams of newly created data. The goal of electronic news delivery within this context is, however, distiguishable from both news news groups and document retrieval. Electronic news promises to deliver to the reader an edited collage of recent events from wide domains in a manner that is both comprehensive and personalized. As part of a long-term research project into the design of future news delivery systems, we have developed an overall architecture and several prototypes. These prototypes are presented in the article, along with a discussion of issues related to the presentation metaphor and to the functionality of electronic news delivery services. A prototype was demonstrated at the 1995 G-7 Economic Summit in Halifax, Canada, integrating newspaper text and photographs with television news video clips across an ATM network

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Abstract

Indexing remains one of the most popular tools provided by digital libraries to help users identify and understand the characteristics of the information they need. Despite extensive studies of the problem of automatic index construction for text-based digital libraries, the construction of multimedia digital libraries continues to represent a challenge, because multimedia objects usually lack sufficient text information to ensure reliable index learning. This research attempts to tackle the problem of automatic index construction for multimedia objects by employing Web usage logs and limited keywords pertaining to multimedia objects. The tests of two proposed algorithms use two different data sets with different amounts of textual information. Web usage logs offer precious information for building indexes of multimedia digital libraries with limited textual information. The proposed methods generally yield better indexes, especially for the artwork data set.

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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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Content

Enthält u.a. die Beiträge:MÜLLER, R.S.: Mythos Netz: Multimedia, der Kampf um Techniken und Märkte; RIEGER, F.: Denn sie wissen, was sie tun: eine Handvoll Firmen verwalten die wichtigsten Informationen der Welt; JACOB, J.: Datenspur beim Tastendruck (Interview); BRENNER, T.: Digital Life: die Geburt eines neuen Glaubens; KARTTE, S.: Wer kennt George: über die tückischen Verlockungen des Teleshopping; TANGENS, R. u. P. GLASER: Die Zivilisation: Information wird die Menschheit nicht retten;

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Source

Proceedings of the 2nd British-Nordic Conference on Library and Information Studies, Edinburgh, 1997. Organized by the British Association for Information and Library Education (BAILER). Ed.: Micheline Beaulieu et al

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Abstract

Internetseiten aufrufen und E-Mails vom Sofa aus versenden: Das Fernsehgerät wird in Zukunft mehr können als bisher - Unter den Produktnamen iesy TV, iesy Net und iesy Phone will der Netzbetreiber eKabel in Hessen Kunden für neue Multimediaangebote gewinnen. 2000 Haushalte im Frankfurter Westend werden in einer ersten Stufe mit einem Teil der Dienste versorgt werden. In den nächsten Monaten sollen sukzessive weitere Wohnungen an ein modernisiertes Breitbandnetz angeschlossen werden. Doch für die Digital-TV-Fans entsteht mit dem neuen Angebot eine schwierige Lage

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Abstract

Relevance has been a difficult concept to define, let alone measure. In this paper, a simple operational definition of relevance is proposed for a Web-based library catalog: whether or not during a search session the user saves, prints, mails, or downloads a citation. If one of those actions is performed, the session is considered relevant to the user. An analysis is presented illustrating the advantages and disadvantages of this definition. With this definition and good transaction logging, it is possible to ascertain the relevance of a session. This was done for 905,970 sessions conducted with the University of California's Melvyl online catalog. Next, a methodology was developed to try to predict the relevance of a session. A number of variables were defined that characterize a session, none of which used any demographic information about the user. The values of the variables were computed for the sessions. Principal components analysis was used to extract a new set of variables out of the original set. A stratified random sampling technique was used to form ten strata such that each new strata of 90,570 sessions contained the same proportion of relevant to nonrelevant sessions. Logistic regression was used to ascertain the regression coefficients for nine of the ten strata. Then, the coefficients were used to predict the relevance of the sessions in the missing strata. Overall, 17.85% of the sessions were determined to be relevant. The predicted number of relevant sessions for all ten strata was 11 %, a 6.85% difference. The authors believe that the methodology can be further refined and the prediction improved. This methodology could also have significant application in improving user searching and also in predicting electronic commerce buying decisions without the use of personal demographic data