A web-enabled video indexing system

Video parsing and indexing is an important early stage of contentbased video analysis. In this paper, we present a new web-enabled video indexing system that integrates Synchronized Multimedia Integration Language (SMIL) standard. New algorithms are proposed for video temporal segmentation. Sharp transition detection is achieved by an enhanced histogram-based method that is robust to illumination changes. For gradual transition detection, new features are introduced for dissolve detection. The proposed dissolve detector is based on a combined analysis of mean-variance-skewness of intensity. Compared with existing variance-based approaches, the introduced new features improve the discrimination ability on shot boundaries. We also describe methods for eliminating false positives. Experimental results show that the proposed algorithms can effectively detect shot boundaries. Detected scenes and other cinematic attributes are structured and organized by integrating HTML and SMIL. For each ...

• Type: Conference
• Year: 2004
• Where: MIR
• Authors: Jian Zhou, Xiao-Ping Zhang
• Keywords: MIR 2004, Multimedia, Video Indexing, Video Temporal Segmentation, Web-enabled Video Indexing