DocumentCode :
2357268
Title :
A Comprehensive Motion Videotext Detection Localization and Extraction Method
Author :
Tsung-Han Tsai ; Yung-Chien Chen
Author_Institution :
Nat. Central Univ., Taoyuan
fYear :
2007
fDate :
17-20 April 2007
Firstpage :
113
Lastpage :
116
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; image motion analysis; indexing; text analysis; video signal processing; edge detection; horizontal scrolling videotexts; motion video text detection localization; vertical scrolling videotexts; video indexing; video summarization; video text extraction methods; Data mining; Filters; IP networks; Image edge detection; Indexing; Interpolation; Motion detection; TV broadcasting; Text recognition; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering Workshop, 2007 IEEE 23rd International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-0832-0
Electronic_ISBN :
978-1-4244-0832-0
Type :
conf
DOI :
10.1109/ICDEW.2007.4400980
Filename :
4400980
Link To Document :
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