Cut detection in video sequences using phase correlation

A novel algorithm for the detection of cuts in video sequences is proposed. The algorithm uses phase correlation to obtain a measure of content similarity for temporally adjacent frames and responds very well to scene cuts. The algorithm is insensitive to the presence of global illumination changes and noise and outperforms established methods for cut detection. As the proposed scheme is implemented in the frequency domain, the availability of fast hardware makes the scheme attractive for interactive and on-line applications.