• 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