An evaluation of video cut detection techniques

Abstract

Accurate detection of shot transitions plays an important role on automatic analysis of digital video contents, and it is a key issue for video indexing and summarization, amongst other tasks. This work presents in more detail a novel strategy, based on the concept of visual rhythm, to automatically detect sharp transitions or cuts in arbitrary videos. The central part of the work is a comparative evaluation of this strategy versus three other very competitive approaches for video cut detection: one based on the visual rhythm concept, other based on pixel differentiation and a last one based on color histograms. The evaluation carried out demonstrated that the proposed method achieves, on average, higher recall rates at a cost of a slightly lower precision. © Springer-Verlag Berlin Heidelberg 2007.