Video storage on the basis of content is the problem under consideration. The research addresses classifying video content into clusters and how this classification can be used for business intelligence and other content guided parameterization. With fast growing concepts of video share and uploads, it has become difficult to store and retrieve videos in an effective manner and how to perform filtering for videos that do not fit into the classified search item or in that particular cluster.