A new bottom-up method for saliency detection

Xiaolong Ma, Xudong Xie, Kin Man Lam, Yisheng Zhong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In this paper, we propose a new method for saliency detection. Unlike other algorithms, our method considers non-salient regions first, and extracts information in the wavelet transform domain only. Our method need not perform the inverse transform back to the image domain, which can greatly reduce the computational requirements. Experimental results show that our method can achieve excellent results when compared to the state-of-the-art methods.
Original languageEnglish
Title of host publication2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
Pages97-98
Number of pages2
DOIs
Publication statusPublished - 11 Sep 2013
Event2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013 - Hsinchu, Taiwan
Duration: 3 Jun 20136 Jun 2013

Conference

Conference2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
CountryTaiwan
CityHsinchu
Period3/06/136/06/13

ASJC Scopus subject areas

  • Engineering(all)

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