• DocumentCode
    2032217
  • Title

    Using H.264/AVC-Intra for Segmentation-Driven Compound Document Coding

  • Author

    Zaghetto, Alexandre ; De Queiroz, Ricardo L.

  • Author_Institution
    Univ. de Brasilia, Brasilia
  • Volume
    2
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    In this paper we explore H.264/AVC operating in intraframe mode to compress a mixed image, i.e. composed of text, graphics and pictures. Even though mixed contents (compound) documents usually require the use of multiple compressors, we apply a single compressor for both text and pictures. For that, distortion is taken into account differently between text and picture regions. Our approach is to use a segmentation-driven adaptation strategy to change the H.264/ AVC quantization parameter on a macroblock by macroblock basis, i.e. we deviate bits from pictorial regions to text in order to keep text edges sharp. We show results of a segmentation driven quantizer adaptation method applied to compress documents. Our reconstructed images have better text sharpness compared to straight unadapted coding, at negligible visual losses on pictorial regions. Our results also highlight the fact that H.264/AVC-INTRA outperforms coders such as JPEG-2000 as a single coder for compound images.
  • Keywords
    document handling; image reconstruction; image segmentation; vector quantisation; video coding; H.264 AVC quantization parameter; H.264 AVC-INTRA; compound documents; document compression; image reconstruction; intraframe mode; mixed contents documents; mixed image compression; multiple compressors; segmentation-driven compound document coding; segmentation-driven quantizer adaptation; text compression; text edges; Automatic voltage control; Compression algorithms; Compressors; Graphics; Image coding; Image segmentation; PSNR; Quantization; Testing; Video compression; Compound document coding; H.264/AVC; segmentation-driven image coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4379160
  • Filename
    4379160