DocumentCode :
2481289
Title :
Gray-based news video text extraction approach
Author :
Xiaoling, Fu ; Hua, Gao
Author_Institution :
Inf. Eng. Coll., North China Univ. Of Technol., Beijing, China
fYear :
2010
fDate :
Nov. 30 2010-Dec. 2 2010
Firstpage :
208
Lastpage :
211
Abstract :
In the news video, As a high-level semantic features, video text play a crucial role for the semantics understanding, video analysis, quick video clips retrieval of news video. We propose a new video character extraction method that is gray-based. It makes full use of gray information of the video image and the news video text features to detect the video frame which contain text information, and uses mathematical statistical method to find the location where text appears, then do the binary processing of the candidate region image, at last uses OCR software package to recognize the text. This article also finish a simple news video retrieval system, and text extraction algorithm is applied to the system. Experiment results on Chinese CCTV news video show the encouraging performance of the proposed algorithm.
Keywords :
optical character recognition; software packages; statistical analysis; text analysis; video retrieval; Chinese CCTV news video; Gray-based news video text extraction approach; OCR software package; mathematical statistical method; semantics understanding; text recognition; video analysis; video character extraction method; video clips retrieval; Character recognition; Data mining; Feature extraction; Image edge detection; Image segmentation; Optical character recognition software; Semantics; binaryzation; edge detection; projection; text extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Sciences and Convergence Information Technology (ICCIT), 2010 5th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-8567-3
Electronic_ISBN :
978-89-88678-30-5
Type :
conf
DOI :
10.1109/ICCIT.2010.5711058
Filename :
5711058
Link To Document :
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