Film editing reconstruction and semantic analysis

Abstract

In the present paper the problem of video segmentation and semantic analysis for cinematographic language classification is addressed. Video analysis is here focused on the automatic detection of editing procedures, through which the shots are fused into the video stream. This work proposes new data-driven algorithms to detect cuts between two shots, and special editing artifacts, as well. The second part of this work is devoted to a higher level analysis, which involves the semantics of a film. On the basis of the common film editing rules, a method is presented to detect sets of shots having unitary content. Experimental validation of the techniques proposed is thereby presented.