• DocumentCode
    2507511
  • Title

    FIND: A Neat Flip Invariant Descriptor

  • Author

    Guo, Xiaojie ; Cao, Xiaochun

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    515
  • Lastpage
    518
  • Abstract
    In this paper, we introduce a novel Flip Invariant Descriptor (FIND). FIND improves the degenerated performance resulted from image flips and reduces both space and time costs. Flip invariance of FIND enables the intractable flip detection to be achieved easily, instead of duplicately implementing the procedure. To alleviate the pressure brought by the increasing scale of image and video data, FIND utilizes a concise structure with less storage space. Comparing to SIFT, FIND reduces 35.94% length for a descriptor. We compare FIND against SIFT with respect to accuracy, speed and space cost. An application to image search over a database of 3.27 million descriptors is also shown.
  • Keywords
    image retrieval; FIND; flip invariant descriptor; image data; image search; intractable flip detection; video data; Accuracy; Databases; Detectors; Pixel; Redundancy; Robustness; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.131
  • Filename
    5597426