A new bottom-up method for saliency detection

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

doi:10.1109/ISCE.2013.6570272

A new bottom-up method for saliency detection

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

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
Pages	97-98
Number of pages	2
DOIs	https://doi.org/10.1109/ISCE.2013.6570272
Publication status	Published - 11 Sept 2013
Event	2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013 - Hsinchu, Taiwan Duration: 3 Jun 2013 → 6 Jun 2013

Conference

Conference	2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013
Country/Territory	Taiwan
City	Hsinchu
Period	3/06/13 → 6/06/13

ASJC Scopus subject areas

General Engineering

More information

10.1109/ISCE.2013.6570272

Cite this

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title = "A new bottom-up method for saliency detection",

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.",

author = "Xiaolong Ma and Xudong Xie and Lam, {Kin Man} and Yisheng Zhong",

year = "2013",

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doi = "10.1109/ISCE.2013.6570272",

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Y1 - 2013/9/11

N2 - 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.

AB - 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.

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U2 - 10.1109/ISCE.2013.6570272

DO - 10.1109/ISCE.2013.6570272

M3 - Conference article published in proceeding or book

SN - 9781467361996

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EP - 98

BT - 2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013

T2 - 2013 IEEE 17th International Symposium on Consumer Electronics, ISCE 2013

Y2 - 3 June 2013 through 6 June 2013

ER -

A new bottom-up method for saliency detection

Abstract

Conference

ASJC Scopus subject areas

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