A New Approach for Video Scene Boundary Detection

Abstract

Scene is the semantic unit in video. Video scene segmentation is a difficult task in content based video structure analysis. This paper proposes a new approach for scene boundary detection. We first construct shot content coherence signal using Normalized Cut criterion and then use a heuristic algorithm to detect scene boundary. Because the Normalized Cut criterion simultaneously emphasizes on the inhomogeneity of shots in different scenes and the homogeneity of shots in the same scene, the continuous signal reflects the coherence of shot content well. Experiments on different kinds of video clips demonstrate our approach performs well in scene segmentation.