-
Dammeyer, A.; Jürgensen, W.; Krüwel, C.; Poliak, E.; Ruttkowski, S.; Schäfer, Th.; Sirava, M.; Hermes, T.: Videoanalyse mit DiVA (1998)
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- Abstract
- Die Bedeutung von Videos nimmt für multimediale Systeme stetig zu. Dabei existiert eine Vielzahl von Produkten zur Betrachtung von Videos, allerdings nur wenige Ansätze, den Inhalt eines Videos zu erschließen. Das DiVA-System, welches an der Universität Bremen im Rahmen eines studentischen Projektes entwickelt wird, dient der automatischen Analyse von MPEG-I Videofilmen. Der dabei verfolgte Ansatz läßt sich in vier Phasen gliedern. Zunächst wird der Videofilm durch eine Shotanalyse in seine einzelnen Kameraeinstellungen (Shots) unterteilt. Darauf aufbauend findet eine Kamerabewegungsanalyse sowie die Erstellung von Mosaicbildern statt. Mit Methoden der künstlichen Intelligenz und der digitalen Bildverarbeitung wird das analysierte Material nach Bild- und Toninformationen ausgewertet. Das Resultat ist eine textuelle Beschreibung eines Videofilms, auf der mit Hilfe von Text-Retrieval-Systemen recherchiert werden kann
- Imprint
- Bremen : Universität Bremen / Fachbereich Mathematik und Informatik
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Goh, A.; Hui, S.C.: TES: a text extraction system (1996)
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- Abstract
- With the onset of the information explosion arising from digital libraries and access to a wealth of information through the Internet, the need to efficiently determine the relevance of a document becomes even more urgent. Describes a text extraction system (TES), which retrieves a set of sentences from a document to form an indicative abstract. Such an automated process enables information to be filtered more quickly. Discusses the combination of various text extraction techniques. Compares results with manually produced abstracts
- Date
- 26. 2.1997 10:22:43
-
Ruda, S.: Abstracting: eine Auswahlbibliographie (1992)
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- Abstract
- Die vorliegende Auswahlbibliographie ist in 9 Themenbereiche unterteilt. Der erste Abschnitt enthält Literatur, in der auf Abstracts und Abstracting-Verfahren allgemein eingegangen und ein Überblick über den Stand der Forschung gegeben wird. Im nächsten Abschnitt werden solche Aufsätze referiert, die die historische Entwicklung des Abstracting beschreiben. Im dritten Teil sind Abstracting-Richtlinien verschiedener Institutionen aufgelistet. Lexikalische, syntaktische und semantische Textkondensierungsverfahren sind das Thema der in Abschnitt 4 präsentierten Arbeiten. Textstrukturen von Abstracts werden unter Punkt 5 betrachtet, und die Arbeiten des nächsten Themenbereiches befassen sich mit dem Problem des Schreibens von Abstracts. Der siebte Abschnitt listet sog. 'maschinelle' und maschinen-unterstützte Abstracting-Methoden auf. Anschließend werden 'maschinelle' und maschinenunterstützte Abstracting-Verfahren, Abstracts im Vergleich zu ihren Primärtexten sowie Abstracts im allgemeien bewertet. Den Abschluß bilden Bibliographien
-
Endres-Niggemeyer, B.: Summarizing information (1998)
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- Abstract
- Summarizing is the process of reducing the large information size of something like a novel or a scientific paper to a short summary or abstract comprising only the most essential points. Summarizing is frequent in everyday communication, but it is also a professional skill for journalists and others. Automated summarizing functions are urgently needed by Internet users who wish to avoid being overwhelmed by information. This book presents the state of the art and surveys related research; it deals with everyday and professional summarizing as well as computerized approaches. The author focuses in detail on the cognitive pro-cess involved in summarizing and supports this with a multimedia simulation systems on the accompanying CD-ROM
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Robin, J.; McKeown, K.: Empirically designing and evaluating a new revision-based model for summary generation (1996)
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- Date
- 6. 3.1997 16:22:15
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Jones, P.A.; Bradbeer, P.V.G.: Discovery of optimal weights in a concept selection system (1996)
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- Source
- Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
