Mining semantic content using association rules in video surveillance
B. F. Momin, Vinod S. Kande · 2016
With the technical advances, multimedia data is growing exponentially. It is progressively vital to mine the information from a video database consequently. Finding association between things in a large video assumes an extensive part in the video information mining. In light of the innovative work in the previous years, use of association mining is developing in various areas, for example, surveillance, sports, news, documents, motion pictures, and individual and online media accumulations. This paper provides a general framework of mining the association rules from video surveillance data. Our approach will provide semantic content extraction from surveillance videos using video association mining.