Abstract
A system was proposed in this thesis for automatic segmentation, indexing and retrieval of audiovisual data based on multimodal media content analysis. The video stream was demultiplexed into different media types such as audio, image and caption. An index table was generated for each video clip by combining results from content analysis of these diverse media types. Structures for different video types were described, and models were built for each video type individually. This general modeling and structuring of video content parsing is very unique. It achieves more functions than existing approaches which normally adopt a single model with focus on the pictorial information alone.
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© 2001 Springer Science+Business Media New York
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Zhang, T., Kuo, CC.J. (2001). Conclusion and Extensions. In: Content-Based Audio Classification and Retrieval for Audiovisual Data Parsing. The Springer International Series in Engineering and Computer Science, vol 606. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3339-6_8
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DOI: https://doi.org/10.1007/978-1-4757-3339-6_8
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4878-6
Online ISBN: 978-1-4757-3339-6
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