Publications of Wolfgang Effelsberg

Sorted by Year

Artikel

  • Reinhard Gotzhein, Jan Bredereke, Wolfgang Effelsberg, Stefan Fischer, Thomas Held und Hartmut König. 1996 Improving the Efficiency of Automated Protocol Implementation Using Estelle Computer Communications, 19, 2, 1226-1235
  • Reinhard Gotzhein, Jan Bredereke, Wolfgang Effelsberg, Stefan Fischer, Thomas Held und Hartmut König. 1996 Improving the Efficiency of Automated Protocol Implementations Using Estelle Computer Communications, 19, 2, 1226-1235
  • Silvia Pfeiffer, Rainer Lienhart, Stephan Fischer und Wolfgang Effelsberg. 1996 Abstracting Digital Movies Automatically Journal of Visual Communication and Image Representation, 7, 3, 345-353
    Large video on demand databases consisting of thousands of digital movies are not easy to handle: the user must have an attractive means to retrieve his movie of choice. For analog video, movie trailers are produced to allow a quick preview and perhaps stimulate possible buyers. This paper presents techniques to automatically produce such movie abstracts of digtial videos.

Konferenz Beitrag

  • Rainer Lienhart, Silvia Pfeiffer und Wolfgang Effelsberg. IEEE Computer Soc. Press, 1996 The MoCA Workbench: Support for Creativity in Movie Content Analysis . Los Alamitos, Calif.
  • Silvia Pfeiffer, Stephan Fischer und Wolfgang Effelsberg. ACM Press, 1996 Automatic Audio Content Analysis . New York, NYThis paper describes the theoretic framework and applications of automatic audio content analysis. After explaining the basic properties of audio analysis, we present a toolbox being the basis for the development of audio analysis algorithms. We also describe new applications which can be developed using the toolset, among them music indexing and retrieval as well as violence detection in the sound track of videos.

Buch

Forschungs Papier

  • Rainer Lienhart, Christoph Kuhmünch und Wolfgang Effelsberg. , Technical Reports. 1996 On the Detection and Recognition of Television Commercials Mannheim, . 96-016
    TV commercials are interesting in many respects: advertisers and psychologists are interested in their influence on human purchasing habits, while parents might be interested in shielding their children from their influence. In this paper, two methods for detecting and extracting commercials in digital videos are described. The first method is based on statistics of measurable features and enables the detection of commercial blocks within TV broadcasts. The second method performs detection and recognition of known commercials with high accuracy. Finally, we show how both approaches can be combined into a self-learning system. Our experimental results underline the practicality of the methods.
  • Silvia Pfeiffer, Stefan Fischer und Wolfgang Effelsberg. , Technical Reports. 1996 Automatic Audio Content Analysis Mannheim, . 96-008
    This paper describes the theoretic framework and applications of automatic audio content analysis. Research in multimedia content analysis has so far concentrated on the video domain. We demonstrate the strength of automatic audio content analysis. We explain the algorithms we use, including analysis of amplitude, frequency and pitch, and simulations of human audio perception. These algorithms serve us as tools for further audio content analysis. We use these tools in applications like the segmentation of audio data streams into logical units for further processing, the analysis of music, as well as the recognition of sounds indicative of violence like shots, explosions and cries.
  • Silvia Pfeiffer, Rainer Lienhart, Stephan Fischer und Wolfgang Effelsberg. , Technical Reports. 1996 Abstracting Digital Movies Automatically Mannheim, . 96-005
    Large video on demand databases consisting of thousands of digital movies are not easy to handle: the user must have an attractive means to retrieve his movie of choice. For analog video, movie trailers are produced to allow a quick preview and perhaps stimulate possible buyers. This paper presents techniques to automatically produce such movie abstracts of digtial videos. We define a video abstract to be a sequence of still or moving images presenting the content of a video in such a way that the resprective target groupis rapidly provided with concise information about the content while the essential message of the original is preserved. We therefore mainly distinguish video abstracts consisting of a collection of salient still images and video abstracts consisting of a collection of scenes (sequences of images) which are therefore a video themselves. Still-images abstracting systems have been reported often in the literature. We propose a moving-images abstracting system, called VAbstract, and explain its concept, algorithmic realization and advantages. The paper also describes a series of abstracting experiments in which we compared our automatically produced abstracts to manually produced trailers of TV series.