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Situated Models of Meaning for Sports Video Retrieval

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TLDR
A method is proposed that uses data mining to discover temporal patterns in video, and pair these patterns with associated closed captioning text that is used to train a situated model of meaning that significantly improves video retrieval performance.
Abstract
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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References
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