Video grammar for locating named people

Authors:
Jun Yang;Alexander Hauptmann
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA
Venue:
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Year:
2004

Citing 1
Cited 1

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Digital libraries' support for the user's 'information journey'

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Abstract

Finding a named person in broadcast news video is important to video retrieval. Relying on the text information such as video tran-script and OCR text, this task suffers from the temporal mismatch between a person's visual appearance and his/her name occurred in text. By exploring video grammar on the concurrence pattern between faces and names, we propose an extended text-based IR method to overcome this problem and yield superior performance.