In this paper, we propose a spatial temporal video-text detection technique which proceed in two principal steps:potential text region detection and a filtering process. In the first step we divide dynamically each pair of consecutive video frames into sub block in order to detect change. A significant difference between homologous blocks implies the appearance of an important object which may be a text region. The temporal redundancy is then used to filter these regions and forms an effective text region. The experimentation driven on a variety of video sequences shows the effectiveness of our approach by obtaining a 89,39% as precision rate and 90,19 as recall.
@article{arxiv.1301.2173,
title = {AViTExt: Automatic Video Text Extraction, A new Approach for video content indexing Application},
author = {Baseem Bouaziz and Tarek Zlitni and Walid Mahdi},
journal= {arXiv preprint arXiv:1301.2173},
year = {2013}
}
Comments
5 pages, 5 figures, 3rd International Conference on Information and Communication Technologies: From Theory to Applications(ICTTA 2008)