• DocumentCode
    3413469
  • Title

    AVOCR: Arabic video OCR

  • Author

    Ben Halima, M. ; Karray, H. ; Alimi, A.M.

  • Author_Institution
    REGIM: RE search Group on Intell. Machines, Univ. of Sfax, Sfax, Tunisia
  • fYear
    2010
  • fDate
    Sept. 30 2010-Oct. 2 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Nowadays the majority of TV channels are performing digitization of their archival materials. The digitization enhances preservation of records and makes the access to documents easier. However, when the quantity of documents become important the digitization is not enough to insure an efficient access. Indeed, we need to extract semantic information to help users to find what we need quickly. The text included in video sequences is an important needful for indexing and searching system. However, this text is difficult to detect and recognize because of the variability of it size, their low resolution characters and the complexity of the backgrounds. To solve these problems, we propose a system performing in two main tasks: first we extract the textual information from the video sequence and second we recognize this text.
  • Keywords
    feature extraction; image resolution; image sequences; indexing; optical character recognition; query formulation; AVOCR; Arabic video OCR; TV channels; digitization; documents access; indexing; resolution characters; searching system; semantic information extraction; video sequences; Character recognition; Feature extraction; Image segmentation; Optical character recognition software; Pixel; Text recognition; Video sequences; Text extraction; Text localization; Video news; Videotext recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    I/V Communications and Mobile Network (ISVC), 2010 5th International Symposium on
  • Conference_Location
    Rabat
  • Print_ISBN
    978-1-4244-5996-4
  • Type

    conf

  • DOI
    10.1109/ISVC.2010.5656411
  • Filename
    5656411