Title :
AViTExt: Automatic Video Text Extraction; A new Approach for video content indexing Application
Author :
Bouaziz, Baseem ; Zlitni, Tarek ; Mahdi, Walid
Author_Institution :
MIRACL: Multimedia Inf. Syst., Adv. Comput. Lab. Sfax, Sfax
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 :
data compression; text analysis; video coding; automatic video text extraction; filtering process; spatial temporal video-text detection technique; temporal redundancy; video content indexing; video sequences; Data mining; Feature extraction; Image edge detection; Indexing; Information systems; Laboratories; Multimedia computing; Multimedia systems; Video compression; Video on demand; Non compressed video; Spatio-temporal approach; Text extractin; Video indexing and browsing; component; multiple-frame;
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
Conference_Location :
Damascus
Print_ISBN :
978-1-4244-1751-3
Electronic_ISBN :
978-1-4244-1752-0
DOI :
10.1109/ICTTA.2008.4530004