Annotation used expansion of case framework for video event with multi-dimensional association rules mining method
Ke Ji · Jisuanji yingyong yanjiu · 2013
This paper analyzed complex motion events of the video,extended the case grammar theory of natural language processing,and increased the time case structure.Then it used the extension method to annotate video complex events,and stored data in the data cube.Finally,it used the MDFP-growth method to mine association rule for multi-dimensional case concepts.In the experimental section,this paper compared the results of the extended case framework and the original method of annotating a complex event,and compared the four-dimensional data extended the time case to the three-dimensional data mining association rules in the system.Finally,numbers of rules between the two and the precision and recall rate of video detection had been compared.The experiments show that the proposed method can be more accurately annotated a complex event and the higher processing efficiency.