Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The prospects for unrestricted speech input for TV content search
Proceedings of the working conference on Advanced visual interfaces
Mass personalization: social and interactive applications using sound-track identification
Multimedia Tools and Applications
Is this urgent?: exploring time-sensitive information needs in collaborative question answering
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Ad quality on TV: predicting television audience retention
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising
An architecture for non-intrusive user interfaces for interactive digital television
EuroITV'07 Proceedings of the 5th European conference on Interactive TV: a shared experience
Wisdom of artificial crowds algorithm for solving NP-hard problems
International Journal of Bio-Inspired Computation
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Television has always been a popular entertainment medium with considerable impact on consumer purchase behaviors. However. unlike mobiles and pes, it has yet to support an explicit search capability that extends beyond simple content navigation. A core reason for this is lack of usable input inteifaces for TV coupled with the dtfJiculty of creating and executing queries based on rich media context, In this paper, we present TV Answers - a system that combines a novel context capture capability (Freeze-Frame) with an intelligent web services mediator (Edge Proxy) to "crowd-source" user-generated queries. We describe the design and implementation of an early prototype of TV Answers and highlight the challenges and opportunities presented by such systems. Our goal is to demonstrate the viability of using "social search" as a complement to existing algorithm-driven search solutions for rich media consumption.