Video indexing is an important problem that has occupied recent research efforts. The text appearing in video can provide semantic information about the scene content. Detecting and recognizing text events can provide indices into the video for content-based querying. We describe a system for detecting, tracking, and extracting artificial and scene text in MPEG–1 video. Preliminary results are presented.