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