Color CENTRIST: A color descriptor for scene categorization

Wei Ta Chu, Chih Hao Chen

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

8 Citations (Scopus)

Abstract

We design a method to incorporate color information into the framework of CENsus Transform histogram (CENTRIST), a stateof-the-art visual descriptor for scene categorization. The newly proposed color CENTRIST descriptor describes global shape information by not only gradient derived from intensity values but also color variations between pixels in local image patches. Through extensive evaluations on various datasets, we demonstrate that the color CENTRIST descriptor is not only easily to be implemented, but also reliably achieves performance over that of CENTRIST.

Original languageEnglish
Title of host publicationProceedings of the 2nd ACM International Conference on Multimedia Retrieval, ICMR 2012
DOIs
Publication statusPublished - 2012 Jul 27
Event2nd ACM International Conference on Multimedia Retrieval, ICMR 2012 - Hong Kong, China
Duration: 2012 Jun 52012 Jun 8

Publication series

NameProceedings of the 2nd ACM International Conference on Multimedia Retrieval, ICMR 2012

Conference

Conference2nd ACM International Conference on Multimedia Retrieval, ICMR 2012
CountryChina
CityHong Kong
Period12-06-0512-06-08

All Science Journal Classification (ASJC) codes

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

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