A robust scene-change detection method for video segmentation

This paper proposes a new method that combines the intensity and motion information to detect scene changes such as abrupt scene changes and gradual scene changes. Two major features are chosen as the basic dissimilarity measures, and self- and cross-validation mechanisms are employed via a static scene test. We also develop a novel intensity statistics model for detecting gradual scene changes. Experimental results show that the proposed algorithms are effective and outperform the previous approaches.