Efficient and robust shot change detection |
| |
Authors: | Sébastien Lefèvre Nicole Vincent |
| |
Affiliation: | (1) LSIIT, Université Louis Pasteur (Strasbourg I), Parc d’Innovation, Bd Brant, P. O. Box 10413, 67412 Illkirch Cedex, France;(2) CRIP5, Université René Descartes (Paris V), 45 rue des Saints Pères, 75270 Paris Cedex 06, France |
| |
Abstract: | In this article, we deal with the problem of shot change detection which is of primary importance when trying to segment and abstract video sequences. Contrary to recent experiments, our aim is to elaborate a robust but very efficient (real-time even with uncompressed data) method to deal with the remaining problems related to shot change detection: illumination changes, context and data independency, and parameter settings. To do so, we have considered some adaptive threshold and derivative measures in a hue-saturation colour space. We illustrate our robust and efficient method by some experiments on news and football broadcast video sequences. |
| |
Keywords: | Shot change Hue saturation luminance Illumination invariance Context independency Real-time Parameter robustness |
本文献已被 SpringerLink 等数据库收录! |
|