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Video event classification using string kernels
2009
Multimedia tools and applications
Event recognition is a crucial task to provide high-level semantic description of the video content. The bag-of-words (BoW) approach has proven to be successful for the categorization of objects and scenes in images, but it is unable to model temporal information between consecutive frames. In this paper we present a method to introduce temporal information for video event recognition within the BoW approach. Events are modeled as a sequence composed of histograms of visual features, computed
doi:10.1007/s11042-009-0351-3
fatcat:eo3yu7k7gfgmhg3b43mlja3z6y