| Article |
| Type of Publication |
| Automatic Text Segmentation and Text Recognition for Video
Indexing |
| Title |
|
|
| Authors |
| ACM/Springer Multimedia Systems Volume 8pp.
69-81, 2000 |
| Published in |
| 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
segmentation 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 introduced. It is used in the experiments to
demonstrate that the proposed text segmentation algorithms
together with existing 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
semantics in videos. |
| Abstract |
|
| Projects |
|
video processing
character segmentation
character recognition
OCR
video indexing
video content analysis
|
| Keywords |
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