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Journal Article

Improving Access to Digital Video Archives through Informedia Technology

Authors: Christel, Michael G.; Wactlar, Howard D.; Hauptmann, Alexander G.

Journal of the Audio Engineering Society · Volume 49 · Issue 7/8 · pp. 595–600 · July 2001

Abstract

Informedia research at Carnegie Mellon University combines speech recognition, image processing, and natural language processing to automatically index a digital video library. This engineering report focuses on the contribution of speech analysis for transcript generation and alignment, and the use of these features in library interface development. By deepening the automated analysis, such as using named entity extraction to identify people and place names in the audio transcript, better summaries and visualizations can be produced to navigate through video libraries holding thousands of hours of material.

Details

Publication
Journal of the Audio Engineering Society
Volume
49
Issue
7/8
Pages
595–600
Publication date
July 6, 2001
Affiliation
Carnegie Mellon University, Pittsburgh, PA (See document for exact affiliation information.)
Type
Journal Article