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Publication

Publikation

Techreport
Type of Publication
Automatic Text Segmentation and Text Recognition for Video Indexing
Title
Authors
Technical Report TR-98-009, Department for Mathematics and Computer Science, University of Mannheim, 1998
Published in
Efficient indexing and retrieval of digital video is an impor-tant 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 seg-mentation 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 intro-duced. It is used in the experiments to demonstrate that the proposed text segmentation algorithms together with exist-ing 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 seman-tics in videos.
Abstract
Projects
video processing
character segmentation
character recognition
OCR
video indexing
video content analysis
Keywords
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