  With the ever-growing digital libraries and video databases, it is
increasingly important to understand and mine the knowledge from video database
automatically. Discovering association rules between items in a large video
database plays a considerable role in the video data mining research areas.
Based on the research and development in the past years, application of
association rule mining is growing in different domains such as surveillance,
meetings, broadcast news, sports, archives, movies, medical data, as well as
personal and online media collections. The purpose of this paper is to provide
general framework of mining the association rules from video database. This
article is also represents the research issues in video association mining
followed by the recent trends.
