Semantic model vectors for complex video event recognition
We propose semantic model vectors, an intermediate level semantic representation, as a basis for modeling and detecting complex events in unconstrained real-world videos, such as those from YouTube. The semantic model vectors are extracted using a set of
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Multimedia|
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