Multi-information Integrated Method for Text Extraction from Videos

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 225-226)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

827-830

DOI:

10.4028/www.scientific.net/AMR.225-226.827

Citation:

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

Online since:

April 2011

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Price:

$35.00

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