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Hierarchical visual event pattern mining and its applications
2010
Data mining and knowledge discovery
In this paper, we propose a hierarchical visual event pattern mining approach and utilize the patterns to address the key problems in video mining and understanding field. We classify events into primitive events (PEs) and compound events (CEs), where PEs are the units of CEs, and CEs serve as smooth priors and rules for PEs. We first propose a tensor-based video representation and Joint Matrix Factorization (JMF) for unsupervised primitive event categorization. Then we apply frequent pattern
doi:10.1007/s10618-010-0195-5
fatcat:vkddeao4cvcqxerfjqezbj4k7m