Object and scene image classification using unconventional color descriptors

Sugata Banerji, Atreyee Sinha, Chengjun Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents novel color, texture and shape descriptors for scene and object image classification and evaluates their performance in unconventional color spaces. First, a new three dimensional Local Binary Pattern (3D-LBP) descriptor is proposed for color and texture feature extraction. Second, a novel color HWML (HOG of Wavelet of Multiplanar LBP) descriptor is derived by computing the histogram of the orientation gradients (HOG) of the Haar wavelet transformation of the original image and the 3D-LBP images. Third, these descriptors are generated in the unconventional color spaces like oRGB, I1I2I3, uncorrelated and discriminating color spaces to improve performance over conventional color spaces like RGB and HSV. Fourth, the Enhanced Fisher Model (EFM) is applied for discriminatory feature extraction and the nearest neighbor classification rule is used for image classification. Finally, the Caltech 256 object categories database and the MFT scene dataset are used to demonstrate the feasibility of the proposed new methods.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012
Pages695-701
Number of pages7
StatePublished - 2012
Event2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012 - Las Vegas, NV, United States
Duration: Jul 16 2012Jul 19 2012

Publication series

NameProceedings of the 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012
Volume2

Other

Other2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2012
CountryUnited States
CityLas Vegas, NV
Period7/16/127/19/12

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Keywords

  • Enhanced Fisher Model (EFM)
  • Haar wavelets
  • Image search
  • Scene classification
  • The HOG of wavelet of multiplanar LBP (HWML) descriptor
  • The fused-HWML descriptor

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