JOURNAL OF DIGITAL INFORMATION MANAGEMENT V1.I1 MARCH 2003 ABSTRACTS

JOURNAL OF DIGITAL INFORMATION MANAGEMENT

(ISSN 0972-7272) The peer reviewed journal

Volume 1 Issue 1 March 2003

Abstracts

Harald Krottmaier
Institute for Information Processing and Computer Supported new Media (IICM)
In_eldgasse 16c, A-8010 Graz, Austria
email: hkrott@iicm.edu

Abstract

This article is about an upcoming feature in the Journal of Universal Computer Science ([J.UCS, 2002]) related on typed-links. We will introduce the concept of "Links to the Future" in context of the journal. Articles published in J.UCS are stored in an object-oriented database. Therefore features such as fulltext- and index-search are already available out-of-the-box. With the concept of "Links to the Future" it is possible to automatically generate a link to an already published article in J.UCS. Utilizing the paradigm of bidirectional links will help the reader to use this additional information about an article. It will be shown that this concept is limited to articles stored in the local database. However, a simple extension (i.e. working with so called surrogate-objects) will make it possible to enhance this idea to resources referenced in articles published in J.UCS. References to traditional resources (books and other printed material) are also analyzed. In the electronic environment several techniques (such as DOI, Digital Object Identifier) are available to refer to an unique electronic resource. Using surrogates of traditional material makes it possible to link to traditional material. Identification systems for traditional material (ISBN and ISSN) are already available and digital libraries should make use of them. To enable this feature it is necessary to add attributes to link-objects. Problems related to this upcoming feature are discussed. This article will give an outline and status report of the implementation work.

Indexing an intelligent video database using evolutionary control

Ronnie Cheung
Department of Computing
Hong Kong Polytechnic University
Hung Hom, Kowloon, Hong Kong
email: csronnie@comp.polyu.edu.hk

Abstract

In this paper we present the implementation of an intelligent video database using evolutionary control. By using automatic video indexing techniques, the retrieval of video segments can be performed using free natural language queries. Retrieval of video segments from a database for editing and viewing is becoming an important topic in video processing. A cinematic movie consists of video segments, which are semantically related. Current approach to video retrieval emphasize on the low level semantics such as colour and textures of the video segments. However, it is difficult for the users to formulate queries in terms of these low level features. Associated with each video segment in a movie there are video scripts. Each video script contains descriptions about the content of the video and the subtitles for the video segment. Using a database of video segments with associated textual information, it is possible to provide information for video retrieval using free natural language texts. Fully automated indexing and query processing is a key problem in text-based video retrieval. To solve the associated problems, we have implemented an Automatic Video Indexing System (AVIS) using information retrieval and machine learning techniques. The system was tested using the original movie scripts from "STAR WAR - return of the JEDI" (139 movie segments) and "Star Wars - A New hope" (476 movie segments). We have formally evaluated the system using formal precision and recall measures with a fully automated indexing system. The system is able to achieve good precision-recall values. The results show that information retrieval and machine learning techniques can be applied to video information systems effectively.

Designing A Method for Detecting the Inconsistent Loops in the Specification of Multimedia Hyper-Presentation Using Petri-Net

Jong-Keun Cho¹, Si-Yeon Woo^2, Younghwan Lim³

¹Department of Computer Science, Graduated School of Soongsil University,
1-1 SangDo-Dong DongJak-Ku, Seoul, Korea
email: jkdang@empal.com

² 2FL, KangNam OfficeTel, 1308-25,
SeoCho-Dong, SeoCho-Gu, Seoul, Korea
email: silky@mildsky.com

³ School of Media, Soongsil University,
1-1 SangDo-Dong DongJak-Ku, Seoul, Korea
email: yhlim@computing.ssu.ac.kr

Abstract

This paper introduces the method of describing the hyper-presentation using Petri-Net and proposes the method of detecting inconsistent hyper-link loop in the hyper-presentation description. The concept of a hyper-presentation, as an extension of a hypermedia, is the presentation in which time-varying multimedia presentations are dynamically linked together and a hyperlink's context can be changed over time at any time during a continuous presentation. For the purpose of detecting such inconsistent hyper-linked loop, we propose Multi Dimensional Timed Petri-Net Model for specification of a multimedia hyper-Presentation. Then, based on the model, two methods, one for detecting the inconsistent loop and the other for finding the critical path for the actual presentation of the hyper-Presentation specification are described.

Fine-tuning of Graphic Thesaurus Displays

Timothy C. Craven
Faculty of Information and Media Studies
The University of Western Ontario,
London, Ontario N6A 5B7
Canada.
email: craven@uwo.ca

Abstract

A general graph-drawing algorithm has been extended to provide for directional biases associated with certain concept link types. Users may employ a graphic interface to adjust directional biases to suit their own needs in thesaurus display.

The dawn of a new era for mobile and Ambient Learning: MOBIlearn

Giorgio Da Bormida¹, Paul Lefrere², Roberto Vaccaro³, Mike Sharples⁴

¹GIUNTI Ricerca S.r.l.
via Portobello, Abbazia dell'Annunziata
16039 Sestri Levante (Genoa), Italy
email:g.dabormida@giuntilabs.com

²Open University
WALTON HALL
MILTON KEYNES, MK7 6AA, United Kingdom
email:P.Lefrere@open.ac.uk

³GIUNTI Ricerca S.r.l.
via Portobello, Abbazia dell'Annunziata
16039 Sestri Levante (Genoa), Italy
email: r.vaccaro@giuntilabs.com

⁴University of Birmingham
Edgbaston, Birmingham, B15 2TT, United Kingdom
email: m.sharples@bham.ac.uk

Abstract

The MOBIlearn project, co-funded by the European Commission, the National Science Foundation and AU Department of Education, Science and Training, is strategically positioned to provide relevant research outcomes in the field of innovative use of mobile environments to meet the needs of learners, working by themselves and with others. State-of-the-art mobile devices will be available. A new m-learning architecture will support creation, brokerage, delivery and tracking of learning and information contents, using ambient intelligence, location-dependence, personalization, multimedia, instant messaging (text, video) and distributed databases. Field trials will cover "blended learning" (as part of formal courses); "adventitious, location-dependent learning" (during visits to museums); and "learning to interpret information sources and advice" (acquiring medical information for everyday needs).

Vision Online

Emmanuelle Clement
European Liaison Officer
euspen
Building 70
Cranfield University Campus
Bedford MK43 0AL
UK

Abstract

EC virtual institute delivering a range of on-line services to promote industrial growth and awareness in precision engineering and nanotechnologies.