English

AViTExt: Automatic Video Text Extraction, A new Approach for video content indexing Application

Multimedia 2013-01-11 v1 Information Retrieval

Abstract

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.

Keywords

Cite

@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)

R2 v1 2026-06-21T23:07:15.782Z