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