Abstract
In this thesis, we propose algorithms based on intensity and motion information to detect scene changes such as abrupt scene changes, gradual scene changes and wipes. Two major features are chosen to be our basic dissimilarity measures, and self- and cross-validation mechanisms are employed via static scene test. We also develop a novel statistical model for detecting gradual scene changes. Experimental results show that the proposed algorithms are effective and outperform the previous approaches.