Loading...
Please wait, while we are loading the content...
Automatic text recognition in digital videos
| Content Provider | Semantic Scholar |
|---|---|
| Author | Lienhart, Rainer Stuber, Frank |
| Copyright Year | 1995 |
| 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.fmi.uni-mannheim.de/fileadmin/lehrstuehle/pi4/content/publications/Lienhart1996c.pdf |
| Alternate Webpage(s) | http://www.multimedia-computing.de/mediawiki/images/e/e1/1995-tr-95-036.pdf |
| Alternate Webpage(s) | https://ub-madoc.bib.uni-mannheim.de/826/1/TR-95-036.pdf |
| Alternate Webpage(s) | http://www.informatik.uni-mannheim.de/informatik/pi4/publications/library/Lienhart1996c.ps.gz |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Algorithm Closing (morphology) Comparison of optical character recognition software Cumulative Trauma Disorders Experiment Frame (physical object) Parsing Personality Character Video clip biologic segmentation videocassette |
| Content Type | Text |
| Resource Type | Article |
