• DocumentCode
    1797061
  • Title

    Integration of Points of Interest and Regions of Interest

  • Author

    Qi Li ; Yongyi Gong ; Yixuan Lu

  • Author_Institution
    Dept. of Comput. Sci., Western Kentucky Univ., Bowling Green, KY, USA
  • fYear
    2014
  • fDate
    9-13 July 2014
  • Firstpage
    369
  • Lastpage
    373
  • Abstract
    Images consist of different low-level features, such as Points of Interest (POIs) and Regions of Interest (ROIs). A distinction between POIs and ROIs is that the latter ones have intrinsic scale information while the former ones may not have. In this paper, we propose a scheme to integrate these two kinds of image features. The proposed scheme optimizes feature distribution so that the optimized features become more compact. The scheme also assigns scale information to a POI via a stable association between the POI and a certain “nearest” ROI. We test the proposed integration scheme in terms of the repeatability across various imaging transformations. The experimental results demonstrate the effectiveness of the integration scheme.
  • Keywords
    feature extraction; optimisation; POI; ROI; feature distribution optimization; image feature integration; imaging transformation; point of interest; region of interest; repeatability; scale information assignment; Computer vision; Context; Detectors; Educational institutions; Feature extraction; Lighting; Optimization; Points of Interest (POIs); Regions of Interest (ROIs); repeatability; scale;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4799-5401-8
  • Type

    conf

  • DOI
    10.1109/ChinaSIP.2014.6889266
  • Filename
    6889266