Scene similarity measure for video content segmentation in the framework of a rough indexing paradigm

Abstract

This article presents a scene similarity measure for video content segmentation. In the context of the rough indexing paradigm, we extract only partial information from MPEG compressed streams to measure the similarity of video frames through time. The similarity measure of I-Frames is defined based on motion compensation of DC images and local contrast computation. The method allows a real-time segmentation of the video content. © 2006 Wiley Periodicals, Inc. Int J Int Syst 21: 765–783, 2006.