• DocumentCode
    1125214
  • Title

    Iconic Indexing by 2-D Strings

  • Author

    Chang, Shi-Kuo ; Shi, Qing-Yun ; Yan, Cheng-Wen

  • Author_Institution
    Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60616; Department of Computer Science, University of Pittsburgh, Pittsburgh, PA 15260.
  • Issue
    3
  • fYear
    1987
  • fDate
    5/1/1987 12:00:00 AM
  • Firstpage
    413
  • Lastpage
    428
  • Abstract
    In this paper, we describe a new way of representing a symbolic picture by a two-dimensional string. A picture query can also be specified as a 2-D string. The problem of pictorial information retrieval then becomes a problem of 2-D subsequence matching. We present algorithms for encoding a symbolic picture into its 2-D string representation, reconstructing a picture from its 2-D string representation, and matching a 2-D string with another 2-D string. We also prove the necessary and sufficient conditions to characterize ambiguous pictures for reduced 2-D strings as well as normal 2-D strings. This approach thus allows an efficient and natural way to construct iconic indexes for pictures.
  • Keywords
    Indexing; Vocabulary; Iconic indexing; pictorial information retrieval; string matching algorithms; two-dimensional string representation;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1987.4767923
  • Filename
    4767923