Scene Boundary Detection Via Video Self-Similarity Analysis

In this paper, we present a novel framework for analyzing video using self-similarity Video scenes are located by analyzing inter-frame similarity matrices The approach is flexible to the choice of similarity measure and is robust and data-independent because the data is used to model itself We present the approach and its application to scene boundary detection This is shown to dramatically outperform a conventional scene-boundary detector that uses a histogram-based measure of frame difference.