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High-level event detection in video exploiting discriminant concepts
2011
2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI)
In this paper a new approach to video event detection is presented, combining visual concept detection scores with a new dimensionality reduction technique. Specifically, a video is first decomposed to a sequence of shots, and trained visual concept detectors are used to represent video content with model vector sequences. Subsequently, an improved subclass discriminant analysis method is used to derive a concept subspace for detecting and recognizing high-level events. In this space, the
doi:10.1109/cbmi.2011.5972525
dblp:conf/cbmi/GkalelisMK11
fatcat:dxkm6yps5jfwnedtqzfas5wlbq