DocumentCode :
460427
Title :
A Comprehensive Motion Videotext Detection Localization and Extraction Method
Author :
Tsai, Tsung-Han ; Chen, Yung-Chien ; Fang, Chih-Lun
Author_Institution :
Dept. of Electr. Eng., Nat. Central Univ., Chung-li
Volume :
1
fYear :
2006
fDate :
25-28 June 2006
Firstpage :
515
Lastpage :
519
Abstract :
In video indexing and summarization, video text is the very compact and accurate information. Most video text detection and extraction methods deal with the static videotext on video frames. Few methods can handle motion videotext well since motion videotext may be hardly be extracted well. In this paper, we propose a low computation method to detect and localize the scrolling videotexts to provide this information. Besides, we propose an extraction method to extract the videotext. The extraction method consists of adaptive thresholding and our proposed modified seed-fill algorithm. The detection method is carried out by edge detection, and the projection profile method is used to localize the text region well. We have completed the whole system and the experimental results all of the horizontal and vertical scrolling videotexts can be extracted well
Keywords :
edge detection; feature extraction; image motion analysis; image segmentation; indexing; text analysis; video databases; video retrieval; video signal processing; viewdata; adaptive thresholding; computation method; edge detection; extraction method; modified seed-fill algorithm; motion videotext detection; projection profile method; scrolling videotext localization; video indexing; video summarization; Data mining; Filters; IP networks; Image edge detection; Indexing; Interpolation; Motion detection; TV broadcasting; Text recognition; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Circuits and Systems Proceedings, 2006 International Conference on
Conference_Location :
Guilin
Print_ISBN :
0-7803-9584-0
Electronic_ISBN :
0-7803-9585-9
Type :
conf
DOI :
10.1109/ICCCAS.2006.284689
Filename :
4063933
Link To Document :
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