Shot boundary detection via similarity analysis

Abstract

In this paper, we present a 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 both feature parametrization and similarity measure and it is robust because the data is used to model itself. We present the approach and its application to shot boundary detection.