The Video Semantic Summarization System generates a summarized video for a user based on his/her preference and delivers the personalized content effectively to the user. It is a complete summarization system to dynamically generate personalized video summaries using MPEG-7 descriptions of video contents in a middleware architecture. Our Video Semantic Summarization System is designed and implemented for: (1) the stand-alone application, (2) mobile platform, and (3) web browser. Each system allows the user to specify topic preferences, query keywords and total summary time. The summarization techniques involve optimizing the relevance scores of user parameters against the MPEG-7 semantic descriptions of our video content.

Our contributions include:

	VideoAnnEx Annotation Tool
	VideoEd Editing Software
	VideoSue Summarization on User Environment
	Universal Tuner Pervasive Application