A team from Google Research has developed a prototype system that uses a home computer’s internal microphone to listen to the ambient audio in a room, determine what is being watched on TV and offer web-based supplemental...
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A team from Google Research has developed a prototype system that uses a home computer’s internal microphone to listen to the ambient audio in a room, determine what is being watched on TV and offer web-based supplemental information, services and shopping contextual to each program being watched. It’s strange, but it sounds like it works and people might really like it. There’s no indication yet whether or when this could be available as a service. Google Research team members Michele Covell and Shumeet Baluja along with Michael Fink of the Hebrew University of Jerusalem’s Center for Neural Computation were given the best paper award for their report on the system at the the Euro ITV (interactive television) conference last week. (“Social- and Interactive-Television Applications Based on Real-Time Ambient-Audio Identification” 10 pg PDF, see also the Google Research blog post on the paper.) The system compresses the captured audio into irreversible (emphasis theirs) summary statistics which are then compared to a database of mass media statistics and used to determine what the browser should display. Possible service offerings discussed in the paper fall into four categories:
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