Video OCR: indexing digital new libraries by recognition of superimposed captions
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Caption graphically superimposed in news video frames can provide important indexing information. The automatic extraction and recognition of news captions can be of great help in querying topics of interest in a digital news video library. To develop such a system for Chinese news video, we present algorithms for detection, extraction, binarization and recognition of Chinese video captions. Experimental results show that our caption processing scheme is effective and robust and signicantly improves video caption OCR results.