Video browsing system based on compressed domain feature extraction

We present a video browsing system that dynamically extracts features and o ther content-description (meta-data) from compressed video. We devise a des cription scheme for a video browsing system that combines color and motion descriptors extracted in the compressed domain. The extraction is fast and enables our proposed dynamic feature extraction based video browsing system . We examine the tradeoff between fast feature extraction and accuracy of m atching to arrive at a combination of color and motion descriptors that is easy to extract and provides accurate matching.