A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
The Journal of Machine Learning Research
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Mining temporal patterns of movement for video content classification
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
A unified approach to shot change detection and camera motion characterization
IEEE Transactions on Circuits and Systems for Video Technology
SportSense: using motion queries to find scenes in sports videos
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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This demonstration presents an interface to a corpus of broadcast baseball games that have been indexed using an unsupervised content-based method introduced here. The method uses the concept of a grounded language model to motivate a framework in which video is searched using natural language with no reliance on predetermined concepts or hand labeled events. The interface demonstrates the effectiveness of the technique and the ease of use it affords the user.