Using Self-similarity Matrices for Structure Mining on News Video

摘要

Video broadcast series like news or magazine broadcasts usually expose a strong temporal structure, along with a characteristic audio-visual appearance. This results in frequent patterns occurring in the video signal. We propose an algorithm for the automatic detection of such patterns that exploits the video's self-similarity induced by the patterns. The approach is applied to the problem of anchor shot detection, but can also be used for other related purposes. Tests on real-world video data show that it is possible with our method to detect anchor shots fully automatically with high reliability.