• DocumentCode
    815683
  • Title

    SPIHT-Based Coding of the Shape and Texture of Arbitrarily Shaped Visual Objects

  • Author

    Martin, Karl ; Lukac, Rastislav ; Plataniotis, Konstantinos N.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Toronto Univ., Ont.
  • Volume
    16
  • Issue
    10
  • fYear
    2006
  • Firstpage
    1196
  • Lastpage
    1208
  • Abstract
    A new scheme for coding both the shape and texture of arbitrarily shaped visual objects is presented. Based on set partitioning on hierarchical trees (SPIHT), the proposed Shape and Texture SPIHT (ST-SPIHT) employs a novel implementation of the shape-adaptive discrete wavelet transform (SA-DWT) using in-place lifting, along with parallel coding of texture coefficients and shape mask pixels to create a single embedded code that allows for fine-grained rate-distortion scalability. The single output code simplifies the logistics of object storage and transmission compared to previously published schemes. An input parameter provides control over the relative progression between shape and texture coding in the embedded code, allowing for adjustment of the emphasis of shape versus texture quality in low bit rate reconstructions. The combination of features provided by ST-SPIHT, namely, explicit and progressive shape coding in parallel with wavelet-based embedded coding of the object texture, is unique compared to previously published schemes. Computational complexity is minimized since the shape coding takes advantage of the decomposition and spatial orientation trees used for texture coding. Objective and subjective simulation results show that the proposed ST-SPIHT scheme has rate-distortion performance comparable or superior to MPEG-4 Visual Texture Coding for most bit rates
  • Keywords
    computational complexity; discrete wavelet transforms; image coding; image reconstruction; image texture; trees (mathematics); MPEG-4 visual texture coding; SPIHT-based coding; ape-adaptive discrete wavelet transform; arbitrarily shaped visual objects; computational complexity; explicit shape coding; fine-grained rate-distortion scalability; hierarchical trees; in-place lifting; low bit rate reconstructions; parallel coding; progressive shape coding; set partitioning; shape mask pixels; shape versus texture quality; spatial orientation trees; texture coding; texture coefficients; wavelet-based embedded coding; Set partitioning in hierarchical trees (SPIHT); shape and texture coding; shape-adaptive coding; shape-adaptive discrete wavelet transform (SA-DWT); visual object coding; wavelet-based coding;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/TCSVT.2006.882388
  • Filename
    4011981