Abstract
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Efficient indexing and retrieval of digital
video is an important aspect 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 and
recognition of text in digital videos. The algorithms we propose make
use of typical character istics of text in videos in order to enable
and enhance segmentation and recognition 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 and text recognition algorithms
are suitable for indexing and retrieval of relevant video scenes in 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 video.
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