R. Lienhart, S. Pfeiffer, and W. Effelsberg. The MoCA Workbench: Support for Creativity in Movie Content Analysis. Proc. IEEE Conference on Multimedia Computing & Systems, Hieroshima, Japan, pp. 314-321, June 1996. Home/Search Document Details and Download
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Modeling of Moving Objects in a Video Database - Li, Özsu, Szafron (1997) (4 citations) (Correct)
....is to achieve automatic extraction of feature semantics from a video and to support content based video retrieval. Feature extraction includes object recognition, spatiotemporal encoding, scene analysis, etc. We do not address feature extraction in this paper, but a few prototype systems [SZ94, LPE96, SK96, YYL96] have been reported that can be used in conjunction with our work. A survey of technologies for parsing and indexing digital videos is in [AL96] Egenhofer [EF91] has specified eight fundamental topological relations that can hold between two planar regions. These relations are ....
R. Lienhart, S. Pfeiffer, and W. Effelsberg. The MoCA workbench: Support for creativity in movie content analysis. In Proceedings of IEEE International Conference on Multimedia Computing and Systems, pages 314---321, Hiroshima, Japan, June 1996.
Automatic Movie Abstracting - Lienhart, Pfeiffer, Fischer (1997) (2 citations) Self-citation (Lienhart Pfeiffer) (Correct)
....difficulty in determining important parts of the audio and image track. Research to this aim is abundant. In our MoCA (Movie Content Analysis) research project, we have presented algorithms to automatically retrieve content information from the video and audio tracks of digitized films [3] 4] 7][8][9] 13] We have also presented a video abstracting system called VAbstract [14] In this paper, we restrict video abstracting to trailer production and expand the result by other retrieved content information like the title or main actors. The demands on a trailer depend on the video genre ....
R. Lienhart, S. Pfeiffer, and W. Effelsberg. The MoCA Workbench: Support for Creativity in Movie Content Analysis. Proc. IEEE Conference on Multimedia Computing & Systems, Hieroshima, Japan, pp. 314-321, June 1996.
VisualGREP: A systematic method to compare and retrieve .. - Lienhart, Effelsberg.. (1998) (9 citations) Self-citation (Lienhart Effelsberg) (Correct)
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Rainer Lienhart, Silvia Pfeiffer, and Wolfgang Effelsberg, "The MoCA Workbench: Support for Creativity in Movie Content Analysis", Proc. of the IEEE Conference on Multimedia Computing & Systems, Hiroshima, Japan, pp. 314-321, June 1996.
On the Detection and Recognition of Television Commercials - Lienhart, Kuhmünch.. (1996) (12 citations) Self-citation (Lienhart Effelsberg) (Correct)
....and spots is their restricted temporal length. Generally, a spot lasts no longer than 30 s and a block no longer than 6:30 min. The maxima ever observed were 90 s for a spot and 8 min for a block. 2. Two consecutive commercials are separated by a short break of 5 to 12 dark monochrome frames [5][10]. 3. The volume of the audio signal is turned up during commercials and turned down afterwards. Indirectly Measurable Features 1. A human observer perceives commercials as full of motion, animated, and full of action. This sensation is supported by a high frequency of cuts and quick changes in ....
....4.2 Comparison Let us now introduce our fingerprint matching algorithm. Given a query string A of length P and a longer subject string B of length N, the approximate substring matching finds the substring of B that aligns with A with minimal substitutions, deletions and insertions of characters [10] [13] The minimal number of substitutions, deletions and insertions transforming A into B is called the minimal distance D between A and B. Two fingerprint sequences A and B are regarded as identical if the minimal distance D between query string A and subject string B does not exceed the ....
Rainer Lienhart, Silvia Pfeiffer, and Wolfgang Effelsberg. The MoCA Workbench: Support for Creativity in movie content analysis. Proc. of the IEEE Conference on Multimedia Computing & Systems, Hiroshima, Japan, pp. 314-321, June 1996.
The MoCA Project - Movie Content Analysis Research .. - Pfeiffer.. Self-citation (Lienhart Pfeiffer Effelsberg) (Correct)
....by our image and video processing algorithms, the Vista library 1.3, the DEC AudioFile V3.0 and a JPEG image viewer. Currently, we are developing new fast 2D and 3D visualization widgets for our Tcl Tk interpreter. The MoCA Workbench has been used successfully in different MoCA subprojects. See [8] for more details. 4 3 Commercial segmentation recognition 3.1 Motivation TV commercials are interesting in many respects: advertisers and psychologists are interested in their influence on purchasing habits, while parents might be interested in shielding their children from their ....
Rainer Lienhart, Silvia Pfeiffer, and Wolfgang Effelsberg. The MoCA workbench: Support for creativity in movie content analysis. In Proc. IEEE Conf. on Multimedia Computing and Systems, pages 314 -- 321, Hiroshima, Japan, June 1996.
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