Automatic text recognition in digital videos


Lienhart, Rainer ; Stuber, Frank


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URL: https://ub-madoc.bib.uni-mannheim.de/826
URN: urn:nbn:de:bsz:180-madoc-8262
Document Type: Working paper
Year of publication: 1995
The title of a journal, publication series: Technical Reports
Volume: 95-036
Place of publication: Mannheim
Publication language: English
Institution: School of Business Informatics and Mathematics > Sonstige - Fakultät für Mathematik und Informatik
MADOC publication series: Veröffentlichungen der Fakultät für Mathematik und Informatik > Institut für Informatik > Technical Reports
Subject: 004 Computer science, internet
Subject headings (SWD): Videoverarbeitung , Optische Zeichenerkennung
Abstract: We have developed algorithms for automatic character segmentation in motion pictures which extract automatically and reliably the text in pre-title sequences, credit titles, and closing sequences with title and credits. The algorithms we propose make use of typical characteristics of text in videos in order to enhance segmentation and, consequently, recognition performance. As a result, we get segmented characters from video pictures. These can be parsed by any OCR software. The recognition results of multiple instances of the same character throughout subsequent frames are combined to enhance recognition result and to compute the final output. We have tested our segmentation algorithms in a series of experiments with video clips recorded from television and achieved good segmentation results.
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Dieser Eintrag ist Teil der Universitätsbibliographie.

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Lienhart, Rainer ; Stuber, Frank (1995) Automatic text recognition in digital videos. Open Access Technical Reports Mannheim 95-036 [Working paper]
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