DocumentCode :
2835438
Title :
Fast Text Registration and Enhancement in Digital Video
Author :
Hui, Ding ; Xiao-qing, Ding ; Sheng-jin, Wang
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing
fYear :
2008
fDate :
Aug. 29 2008-Sept. 2 2008
Firstpage :
884
Lastpage :
888
Abstract :
This paper addresses a fast and reliable video text registration and enhancement algorithm suitable to tracking text and optical character recognition (OCR). The fast registration algorithm based on the normalized cross-correlation and pyramid structure in a coarse-to-fine scheme. After extracting reference text block, we use the text registration method to find the corresponding text blocks in next consecutive frames. By using intensity-hue-saturation (IHS) fusion method to enhance text block. This proposed algorithm working with rectangular sub-images, which obtained by down-sampling the frames at different levels of the pyramid, the speed of the algorithm can be increased. We have tested our match algorithm in a large set of experiments with video clips recorded from television and achieved good matching results.
Keywords :
feature extraction; image colour analysis; image enhancement; image registration; optical character recognition; optical tracking; text analysis; video signal processing; digital video; intensity-hue-saturation fusion; optical character recognition; reference text block extraction; text tracking; video text enhancement; video text registration; Computer science; Data mining; Feature extraction; Information science; Information technology; Intelligent systems; Laboratories; Optical character recognition software; Text recognition; Videoconference; IHS conversion; Pyramid down-sampling; Video text enhancement; Video text matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3308-7
Type :
conf
DOI :
10.1109/ICCSIT.2008.150
Filename :
4624994
Link To Document :
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