Automatic Text Recognition for Video Indexing


Lienhart, Rainer



URL: http://dx.doi.org/10.1145/244130.244137
Document Type: Conference or workshop publication
Year of publication: 1996
Book title: ACM Multimedia '96 : proceedings; [fourth ACM International Multimedia Conference], Boston Massachusetts, November 18 - 22, 1996
The title of a journal, publication series: Proceedings of the ACM Multimedia '96
Page range: 11-20
Publisher: Hall, Wendy
Place of publication: New York, NY
Publishing house: ACM Press
ISBN: 0-89791-871-1 , 0-201-92140-X
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik IV (Effelsberg 1989-2017)
Subject: 004 Computer science, internet
Abstract: Efficient indexing and retrieval of digital video is an impor-tant 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 seg-mentation and recognition of text in digital videos. The algorithms we propose make use of typical characteristics 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 and from a video data-base. 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.




Dieser Eintrag ist Teil der Universitätsbibliographie.




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