| Techreport |
| Type of Publication |
| Automatic Text Recognition in Digital Videos |
| Title |
|
Frank Stuber
|
| Authors |
| Technical Report Department for Mathematics and Computer Science,
University of Mannheim, 1996 |
| Published in |
| We have developed algorithms for automatic
character segmentation in motion pictures which extract
automati-cally 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. |
| Abstract |
|
| Projects |
|
Character segmentation
character recognition
content-based indexing and retrieval
video processing
|
| Keywords |
| [PDF]
[BIB] [XML] |
| Downloads & Bib-Entries |
