13 March 1996 Automatic text recognition in digital videos
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rainer W. Lienhart, Rainer W. Lienhart, Frank Stuber, Frank Stuber, "Automatic text recognition in digital videos", Proc. SPIE 2666, Image and Video Processing IV, (13 March 1996); doi: 10.1117/12.234741; https://doi.org/10.1117/12.234741


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