Detecting cuts and dissolves through linear regression analysis

Abstract

A reliable detection method for cuts and dissolves by linear regression analysis of temporal block differences is presented. Scene-dependent problems, i.e. false detection induced by large motion, and missed detection of dissolves that involve low variance (or monochrome) frames and motion, are addressed.