A Dynamic Approach to Extract Texts and Captions from Videos?

Detecting text and caption from videos is of great importance and is of greater demand for video retrieval, annotation, indexing, and content analysis etc. In this paper, we have chosen 2 approaches to treat the text extraction problem, to detect text and caption from videos. Each of both uses the characteristics of artificial text. In connected regions approach we use split and merge algorithm in order to split non homogeneous regions and to merge adjacent homogeneous regions. Using edge detection, edges will be computed using certain threshold. Then each text area will be binarized. Then the region with a possibility of text in the video is detected. The most distinctive feature of the proposed operator over most other operators is that it offers excellent line, edge, detail, and texture preservation performance while, at the same time, effectively removing noise from the input image. Finally, the same process will be executed for the different frames, and the results will be temporally integrated in order to keep only the elements which are present in all the frames.