Abstract
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 |
|---|---|
| Original language | English |
| Pages (from-to) | 1097 - 1106 |
| Number of pages | 10 |
| Journal | Image and Vision Computing |
| Volume | 21 (13-14) |
| DOIs | |
| Publication status | Published - 1 Dec 2003 |