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