Novel color, shape and texture-based scene image descriptors

Sugata Banerji, Atreyee Sinha, Chengjun Liu

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

1 Scopus citations

Abstract

This paper introduces several novel color, shape and texture-based image descriptors for scene image classification with applications to image search and retrieval. Specifically, first, a new 3-Dimensional Local Binary Pattern (3D-LBP) descriptor is proposed for color image local feature extraction. Second, a new shape descriptor (HaarHOG) is introduced by combining Haar wavelet transformation and Histogram of Oriented Gradients (HOG). Third, these descriptors are fused using an optimal feature representation technique to generate a robust 3-Dimensional LBP-HaarHOG (3DLH) descriptor that can perform well on different scene image categories. Finally, the Enhanced Fisher Model (EFM) is applied for discriminatory feature extraction and the nearest neighbor classification rule is used for image classification. The proposed descriptors and fusion technique are evaluated using three grand challenge datasets: the MIT Scene dataset, the UIUC Sports Event dataset, and a part of the Caltech 256 dataset.

Original languageEnglish (US)
Title of host publicationProceedings - 2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing, ICCP 2012
Pages245-248
Number of pages4
DOIs
StatePublished - Dec 31 2012
Event2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing, ICCP 2012 - Cluj-Napoca, Romania
Duration: Aug 30 2012Sep 1 2012

Publication series

NameProceedings - 2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing, ICCP 2012

Conference

Conference2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing, ICCP 2012
CountryRomania
CityCluj-Napoca
Period8/30/129/1/12

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications

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