Situated Models of Meaning for Sports Video Retrieval

Michael Fleischman, Deb Roy


Situated models of meaning ground words in the non-linguistic context, or situation, to which they refer. Applying such models to sports video retrieval requires learning appropriate representations for complex events. We propose a method that uses data mining to discover temporal patterns in video, and pair these patterns with associated closed captioning text. This paired corpus is used to train a situated model of meaning that significantly improves video retrieval performance.

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