Title :
The MoCA Workbench: support for creativity in movie content analysis
Author :
Lienhart, Rainer ; Pfeiffer, Silvia ; Effelsberg, Wolfgang
Author_Institution :
Praktische Inf. IV, Mannheim Univ., Germany
Abstract :
Semantic access to the content of a video is highly desirable for multimedia content retrieval. Automatic extraction of semantics requires content analysis algorithms. Our MoCA (Movie Content Analysis) project provides an interactive workbench supporting the researcher in the development of new movie content analysis algorithms. The workbench offers data management facilities for large amounts of video/audio data and derived parameters. It also provides an easy-to-use interface for a free combination of basic operators into more sophisticated operators. We can combine results from video track and audio track analysis. The MoCA Workbench shields the researcher from technical details and provides advanced visualization capabilities, allowing attention to focus on the development of new algorithms. The paper presents the design and implementation of the MoCA Workbench and reports practical experience
Keywords :
interactive video; multimedia computing; query processing; user interfaces; visual databases; MoCA Workbench; Movie Content Analysis project; audio data; audio track analysis; content analysis algorithms; creativity; data management; easy-to-use interface; interactive workbench; movie content analysis; multimedia content retrieval; video content semantic access; video data; video track analysis; visualization; Algorithm design and analysis; Content based retrieval; Data mining; Data visualization; Humans; Motion pictures; Software algorithms; Software prototyping; Testing;
Conference_Titel :
Multimedia Computing and Systems, 1996., Proceedings of the Third IEEE International Conference on
Conference_Location :
Hiroshima
Print_ISBN :
0-8186-7438-5
DOI :
10.1109/MMCS.1996.534993