Video summarization and semantics editing tools

This paper describes a video summarization and semantics editing tool that is suited for content-based video indexing and retrieval with appropriate human operator assistance. The whole system has been designed with a clear focus on the extraction and exploitation of motion information inherent in the dynamic video scene. The dominant motion information has been used explicitly for shot boundary detection, camera motion characterization, visual content variations description, and for key frame extraction. Various contributions have been made to ensure that the system works robustly with complex scenes and across different media types. A window-based graphical user interface has been designed to make the task very easy for interactive analysis and editing of semantic events and episode where appropriate.

• Type: Conference
• Year: 2001
• Where: SPIESR
• Authors: Li-Qun Xu, Jian Zhu, Fred Stentiford
• Keywords: Appropriate Human Operator, Content-Based Video Indexing, Database, Motion Information, SPIESR 2001