DocumentCode :
2459269
Title :
Compound Image Compression with Multi-step Text Extraction Method
Author :
Xi Qi ; Wu, Xing ; Zhang, Shensheng
Author_Institution :
Univ. of Michigan-SJTU Joint Inst., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2009
fDate :
12-14 Sept. 2009
Firstpage :
1270
Lastpage :
1273
Abstract :
Texts appearing on compound image are usually classified into scene text and imposed text. Imposed text, like scripts in videos, slogans in advertisements and titles in magazine covers, contains important information. In this paper, a multistep compression method that could preserve imposed text quality in restored image is presented. The method separates imposed text from background and compresses the two with different schemes. Experiment results show satisfying text-image separation could be achieved, and clear texts could be restored under high compression ratio.
Keywords :
data compression; feature extraction; image coding; text analysis; compound image compression; compression ratio; imposed text; multi-step text extraction method; multistep compression method; scene text; text quality; Computer vision; Data mining; Feature extraction; Histograms; Image coding; Image edge detection; Image restoration; Layout; Signal processing; Videos; compound image; image compression; text extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-4717-6
Electronic_ISBN :
978-0-7695-3762-7
Type :
conf
DOI :
10.1109/IIH-MSP.2009.230
Filename :
5337216
Link To Document :
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