• DocumentCode
    3350538
  • Title

    A scene recognition algorithm based on covariance descriptor

  • Author

    Ge, Yinghui ; Yu, Jianjun

  • Author_Institution
    Fac. of Inf. Sci. & Technol., Ningbo Univ., Ningbo
  • fYear
    2008
  • fDate
    21-24 Sept. 2008
  • Firstpage
    838
  • Lastpage
    842
  • Abstract
    Covariance descriptor which is a good method for object detection represents a region of interest by using the covariance of d-features. Different scene images are regarded as textures with different labels in this paper, and then a novel scene recognition algorithm based on covariance descriptor is proposed. Firstly, the covariance feature of scene image is retrieved. Secondly, support vector machine is employed for training the combination classifiers which recognize the scene images. The experimental results demonstrate the feasibility and validity of the proposed algorithm.
  • Keywords
    covariance analysis; object recognition; support vector machines; combination classifiers; covariance descriptor; object detection; scene recognition algorithm; support vector machine; Computer science; Covariance matrix; Feature extraction; Image recognition; Image retrieval; Image segmentation; Information science; Layout; Support vector machine classification; Support vector machines; SVM; covariance descriptor; scene recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems, 2008 IEEE Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-1673-8
  • Electronic_ISBN
    978-1-4244-1674-5
  • Type

    conf

  • DOI
    10.1109/ICCIS.2008.4670816
  • Filename
    4670816