• DocumentCode
    2425468
  • Title

    A novel shape matching method using biological sequence dynamic alignment

  • Author

    Zhang, Shaojie ; Ma, Kai-Kuang

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    343
  • Abstract
    Shape description and its corresponding matching algorithm is one of the main concerns in MPEG-7. A novel dynamic shape matching algorithm is proposed. First, the conventional 8-directional chain code is exploited to describe the binary shape. A dynamic shape matching algorithm, which is derived from the solution for the biological sequence similarity analysis based on molecular evolutionary theory, is proposed to measure the similarity distance between the shapes by computing their similarity score (SS). Based on a large set of MPEG-7 binary shapes, simulation results have shown that the proposed dynamic alignment matching algorithm is fairly promising and also robust to scale changes, small non-rigid deformation, and similarity based shape matching defined in MPEG-7 core experiments
  • Keywords
    biology computing; image coding; image matching; image retrieval; multimedia computing; 8-directional chain code; MPEG-7 binary shapes; MPEG-7 core experiments; MPEG-7 standard; binary shape; biological sequence dynamic alignment; biological sequence similarity analysis; dynamic alignment matching algorithm; dynamic shape matching algorithm; matching algorithm; molecular evolutionary theory; non-rigid deformation; shape description; shape matching method; similarity based shape matching; similarity distance; similarity score; simulation results; Algorithm design and analysis; Biological information theory; Biological system modeling; Biology computing; Computational modeling; Deformable models; Heuristic algorithms; MPEG 7 Standard; Robustness; Shape measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-7803-6536-4
  • Type

    conf

  • DOI
    10.1109/ICME.2000.869611
  • Filename
    869611