Abstract
Similarly to text, video is hierarchically structured. The analogies of text and video structures are discussed. Then the juxtaposition is presented of two indexing processes, i.e. of text and video indexing based on the content analysis of their structure units. Several frameworks of automatic detection and categorisation of video shots and scenes reporting the sport events in a given discipline in TV sports news have already been proposed. It has been observed that many sport videos such as archery, diving, soccer, and tennis have repetitive structure patterns. In the tests performed using the Automatic Video Indexer AVI shots and then scenes have been detected in tested TV news videos. Experimental results show good performance of the scheme of video scene detection of a given sport discipline in TV sports news. The Automatic Video Indexer is a research project investigating tools and techniques of automatic video indexing for retrieval systems.
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Choroś, K. (2010). Video Structure Analysis and Content-Based Indexing in the Automatic Video Indexer AVI. In: Nguyen, N.T., Zgrzywa, A., Czyżewski, A. (eds) Advances in Multimedia and Network Information System Technologies. Advances in Intelligent and Soft Computing, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14989-4_8
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DOI: https://doi.org/10.1007/978-3-642-14989-4_8
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