Automatic visual data management system

Abstract

In this paper, we introduce an automatic video management system for personal video recorder. With the system, visual data can be summarized and indexed based on the face recognition techniques. The developed system also supplies basic summarizing, indexing, and retrieving functionalities for visual data. Several conventional algorithms are adapted for cut detection and video summarizing. And MPEG-7 visual descriptors are utilized to retrieve similar scene. For face detection in real-time, the Haar-like feature method is applied and PCA/LDA method is selected for face recognition. The resulting index generates not only a preview of a movie, but also allows non-linear access with thumbnails. Moreover, implemented face recognition techniques makes character based video summarization and indexing possible in stored video data. © IFIP International Federation for Information Processing 2004.