Alberti, Christopher et al.
An Audio Indexing System for Election Video Material.
Paper presented to the IEEE International Conference on Acoustics, Speech and Signal Processing, 2009.
Abstract:
In the 2008 presidential election race in the United States, the prospective candidates made extensive use of YouTube to post video material. We developed a scalable system that transcribes this material and makes the content searchable (by indexing the meta-data and transcripts of the videos) and allows the user to navigate through the video material based on content. The system is available as an iGoogle gadget1 as well as a Labs product (labs.google.com/gaudi). Given the large exposure, special emphasis was put on the scalability and reliability of the system. This paper describes the design and implementation of this system.
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