Multi-information Integrated Method for Text Extraction from Videos
Video text provides important semantic information in video content analysis. However, video text with complex background has a poor recognition performance for OCR. Most of the previous approaches to extracting overlay text from videos are based on traditional binarization and give little attention on multi-information integration, especially fusing the background information. This paper presents an effective method to precisely extract characters from videos to enable it for OCR with a good recognition performance. The proposed method combines multi-information together including background information, edge information, and character’s spatial information. Experimental results show that it is robust to complex background and various text appearances.
Helen Zhang, Gang Shen and David Jin
A. W. Jiang and G. R. Zeng, "Multi-information Integrated Method for Text Extraction from Videos", Advanced Materials Research, Vols. 225-226, pp. 827-830, 2011