Review on Generating Social Event Storyboard

Traditional websites have been driven by means of human-edited events which cause large web seeks visitors. This paper is a survey performed for identifying the various event detection strategies that are beneficial for event mining. Moreover this work indicates an automatic system to detect events from search log data and generates a storyboard where events are arranged chronologically. To detect events from search log data, an approach known as Smooth Nonnegative Matrix Factorization framework (SNMF) is used. In addition, to describe events set of relevant images are attached to each event. These relevant images are taken from image log data by analyzing both local and global image content feature. Traditional websites have been driven by means of human-edited events which cause large web seeks visitors. This paper is a survey performed for identifying the various event detection strategies that are beneficial for event mining. Moreover this work indicates an automatic system to detect events from search log data and generates a storyboard where events are arranged chronologically. To detect events from search log data, an approach known as Smooth Nonnegative Matrix Factorization framework (SNMF) is used. In addition, to describe events set of relevant images are attached to each event. These relevant images are taken from image log data by analyzing both local and global image content feature.