  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.
