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 gadget as well as a Labs product. 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.