Indexing text events in digital video databases

Like shot changes, the presence of text in digital video is an important event that can be used to index digital video and provide extremely useful semantic information about the scene content. The special characteristics of digital video compared to document images both require and allow new robust approaches to recognition of text in video. We discuss the characteristics and special challenges of text in video and present a strategy of detecting, localizing, and segmenting text from video data for the text indexing problem. Preliminary results from our approach are presented.

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