• DocumentCode
    968899
  • Title

    Perceptually based techniques for image segmentation and semantic classification

  • Author

    Pappas, Thrasyvoulos N. ; Chen, Junqing ; Depalov, Dejan

  • Author_Institution
    Northwestern Univ., Evanston, IL
  • Volume
    45
  • Issue
    1
  • fYear
    2007
  • Firstpage
    44
  • Lastpage
    51
  • Abstract
    We present a new approach for semantic image analysis that combines knowledge of human perception with an understanding of signal characteristics to segment natural scenes into perceptually uniform regions, and then uses the region statistics to extract semantic information. Applications include content-based image retrieval and region of interest extraction for efficient compression/transmission over heterogeneous networks
  • Keywords
    image classification; image segmentation; content-based image retrieval; heterogeneous networks; human perception; image segmentation; natural scene segmentation; perceptually based techniques; region statistics; region-of-interest extraction; semantic classification; semantic image analysis; semantic information; Face detection; Humans; Image analysis; Image coding; Image color analysis; Image segmentation; Image texture analysis; Information analysis; Layout; Shape;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2007.284537
  • Filename
    4064624
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=968899