International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 58 - Number 6 |
Year of Publication: 2012 |
Authors: P. Rajendra Kumar, Y. Rama Devi, T. Prathima |
10.5120/9289-3490 |
P. Rajendra Kumar, Y. Rama Devi, T. Prathima . Text Detection and Localization in Low Quality Video Images through Image Resolution Enhancement Technique. International Journal of Computer Applications. 58, 6 ( November 2012), 31-35. DOI=10.5120/9289-3490
Video text information plays an important role in semantic-based video analysis, indexing, and retrieval. Text embedded in the image or video contains very useful information like the name of the person, title, location and sometimes brief description of the image. Many algorithms have been proposed to detect and localize the text information present in video images. In this paper, we proposed a methodology to enhance the quality of the image and then detect and localize text regions from low quality video images. Experimental results show the proposed method achieves improved precision rate and recall rate.