Video OCR: indexing digital news libraries by recognition of superimposed captions

摘要

The automatic extraction and recognition of news captions and annotations can be of great help locating top- ics of interest in digital news video libraries. To achieve this goal, we present a technique, called Video OCR (Op- tical Character Reader), which detects, extracts, and reads text areas in digital video data. In this paper, we address problems, describe the method by which Video OCR op- erates, and suggest applications for its use in digital news archives.