The process of shot break detection is a fundamental component in automatic video indexing, editing and archiving. This paper introduces a novel approach to the detection and classification of shot transitions in video sequences including cuts, fades and dissolves. It uses the average inter-frame correlation coefficient and block-based motion estimation to track image blocks through the video sequence and to distinguish changes caused by shot transitions form those caused by camera and object motion. We present a number of experiments in which we achieve better results compared with two established techniques.
|Translated title of the contribution||Temporal video segmentation and classification of edit effects|
|Pages (from-to)||1097 - 1106|
|Number of pages||10|
|Journal||Image and Vision Computing|
|Publication status||Published - 1 Dec 2003|