Publications of Wolfgang Effelsberg
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Artikel
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Rainer Lienhart, Silvia Pfeiffer und Wolfgang Effelsberg.
1997
Video Abstracting
Communications of the ACM, 40, 2, 55-62
Konferenz Beitrag
- Andreas Eckert, Werner Geyer und Wolfgang Effelsberg. AACE, 1997 A Distance Learning System for Higher Education Based on Telecommunications and Multimedia . Charlottesville, Va. br>This paper addresses the Semi-virtual Multidimensional Distance Learning System (SMDL), which is a technical, pedagogical, and organisational prototype-structure of a semi-virtual university. SDML includes both synchronous and asynchronous learning modes. During the initial stage of our project, we regularly transmitted a lecture from a specially equipped lecture room in one university to an equally equipped lecture room in another university using ATM technology. The project is evaluated with consideration to technical and pedagogical issues. A variety of technical problems could be addressed during the regular transmission of the lecture for the course of a semester. Empirical data suggested that the remote students were appreciating the new technologies, whereas the local students seemed to be somewhat sceptical. Moreover, the organisational problems in setting up a semi-virtual university seem to be vastly underestimated in comparison to the technical issues.
- Wolfgang Effelsberg. Karlsruher Kongreß und Ausstellungs-GmbH, 1997 Das Projekt TeleTeaching der Universitäten Mannheim und Heidelberg . Karlsruhe br>
- Thomas T. Fuhrmann, Christoph Kuhmünch, Gunther Schöppe, Gerald Pätzold, Dieter W. Heermann und Wolfgang Effelsberg. Deutsche Telekom AG, Technologiezentrum Darmstadt, 1997 Java Teachware - The Java Remote Control Tool and its Applications . Darmstadt br>
- Rainer Lienhart, Christoph Kuhmünch und Wolfgang Effelsberg. Springer, 1997 Aufspüren und Erkennen von Werbung in laufenden Fernsehsendungen Mustererkennung. Berlin [u.a.] br>Fersehwerbung ist in vielerlei Hinsicht interessant: Werbedesigner und Psychologen interessieren sich für ihren (positiven) Einfluß auf das Kaufverhalten der Menschen; Eltern andererseits möchten ihre Kinder besser vor dem Einfluß der Werbung schützen. In diesem Artikel werden zwei Methoden zum Aufspüren und Erkennen von Werbung in laufenden Fernsehsendungen beschrieben. Die erste Methode basiert auf meßbaren, statistischen Merkmalen von Werbespots und Werbeblöcken und ermöglicht so deren schnelle Lokalisierung. Die zweite Methode basiert auf einer Werbespotdatenbank und erlaubt es, Werbespots präzise aufspüren und zu erkennen. Zuletzt wird gezeigt, wie beide Verfahren in einem selbstlernenden System integriert werden können.
- Rainer Lienhart, Christoph Kuhmünch und Wolfgang Effelsberg. IEEE Computer Soc. Press, 1997 On the Detection and Recognition of Television Commercials . Los Alamitos, Calif. [u.a.] br>
Forschungs Papier
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Rainer Lienhart, Wolfgang Effelsberg und Ramesh Jain. ,
. 1997
VisualGREP : a systematic method to compare and retrieve video sequences
Mannheim, .
In this paper, we consider the problem of similarity between video sequences. Three basic questions are raised and (partially) answered. Firstly, at what temporal duration can video sequences be compared? The frame, shot, scene and video levels are identified. Secondly, given some image or video feature, what are the requirements on its distance measure and how can it be "easily" transformed into the visual similarity desired by the inquirer? Thirdly, how can video sequences be compared at different levels? A general approach based on either a set or sequence representation with variable degrees of aggregation is proposed and applied recursively over the different levels of temporal resolution: It allows the inquirer to fully control the importance of temporal ordering and duration. The general approach is illustrated by introducing and discussing some of the many possible image and video features. Promising experimental results are presented. -
Rainer Lienhart, Silvia Pfeiffer und Wolfgang Effelsberg. ,
Technical Reports. 1997
Automatic Movie Abstracting
Mannheim, . 97-003
Presented is an algorithm for automatic production of a video abstract of a feature film, similar to a movietrailer. It selects clips from the original movie based on detection of special events like dialogs, shots, explosions and text occurrences, and on general action indicators applied to scenes. These clips are then assembled to form a video trailer using a model of editing. Additional clips, audio pieces, images and text, which are also retrieved from the original video for their content, are added to produce a multimedia abstract. The collection of multime dia objects is presented on an HTML-page.