Robust identification of gradual shot-transition types

Abstract

Many video related applications require identification of shot transition and its type. Several algorithms for detecting both abrupt and gradual transitions exist. However, there is no integrated and robust framework for detecting transition types accurately. We show in this paper that combination of individual works by different researchers for identifying different transition types yields poor performance. An approach is presented using several algorithms working on patterns of effective average gradient, double chromatic difference etc. such that the approach is robust to false detection or false-alarms. A comparison with the standard approaches over 3 hours of experimental data on non-trivial video classes such as commercials, MTV, sports etc. shows the superiority of our approach.