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URL:
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https://ub-madoc.bib.uni-mannheim.de/781
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URN:
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urn:nbn:de:bsz:180-madoc-7810
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Document Type:
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Working paper
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Year of publication:
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1998
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The title of a journal, publication series:
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Technical Reports
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Volume:
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98-009
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Place of publication:
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Mannheim
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Publication language:
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English
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Institution:
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School of Business Informatics and Mathematics > Sonstige - Fakultät für Mathematik und Informatik
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MADOC publication series:
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Veröffentlichungen der Fakultät für Mathematik und Informatik > Institut für Informatik > Technical Reports
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Subject:
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004 Computer science, internet
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Subject headings (SWD):
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Videobearbeitung , Indizierung <Informatik> , Optische Zeichenerkennung , Automatische Inhaltsanalyse
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Individual keywords (German):
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Videoverarbeitung , Automatische Inhaltsanalyse , Indizierung <Informatik> , Optische Zeichenerkennung
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Keywords (English):
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video processing , character segmentation , character recognition , OCR , video indexing , video content analysis
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Abstract:
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Efficient indexing and retrieval of digital video is an important function of video databases. One powerful index for retrieval is the text appearing in them. It enables content-based browsing. We present our methods for automatic seg-mentation of text in digital videos. The output is directly passed to a standard OCR software package in order to translate the segmented text into ASCII. The algorithms we propose make use of typical characteristics of text in videos in order to enable and enhance segmentation performance. Especially the inter-frame dependencies of the characters provide new possibilities for their refinement. Then, a straightforward indexing and retrieval scheme is intro-duced. It is used in the experiments to demonstrate that the proposed text segmentation algorithms together with exist-ing text recognition algorithms are suitable for indexing and retrieval of relevant video sequences in and from a video database. Our experimental results are very encouraging and suggest that these algorithms can be used in video retrieval applications as well as to recognize higher seman-tics in videos.
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Technical Reports
Mannheim
98-009
[Working paper]
![[img]](https://madoc-dev.bib.uni-mannheim.de/style/images/fileicons/application_pdf.png)
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