Saliency map based on color histograms of inside and outside of clipped rectangular region

Kohei Inoue; Kenji Hara; Kiichi Urahama

doi:10.3169/itej.65.996

Saliency map based on color histograms of inside and outside of clipped rectangular region

Kohei Inoue, Kenji Hara, Kiichi Urahama

Research output: Contribution to journal › Article › peer-review

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Abstract

We have proposed a method for clipping a rectangular region from an image by minimizing a weighted intersection of two color histograms that are constructed with pixels inside and outside the rectangular region. We propose a method for detecting salient regions which is based on two color histograms obtained by the clipping. We experimentally compared our method with the latest method by Achanta et al., and the results show that salient regions can be detected more clearly with our method.

Original language	English
Pages (from-to)	996-999
Number of pages	4
Journal	Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
Volume	65
Issue number	7
DOIs	https://doi.org/10.3169/itej.65.996
Publication status	Published - 2011

All Science Journal Classification (ASJC) codes

Media Technology
Computer Science Applications
Electrical and Electronic Engineering

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10.3169/itej.65.996

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title = "Saliency map based on color histograms of inside and outside of clipped rectangular region",

abstract = "We have proposed a method for clipping a rectangular region from an image by minimizing a weighted intersection of two color histograms that are constructed with pixels inside and outside the rectangular region. We propose a method for detecting salient regions which is based on two color histograms obtained by the clipping. We experimentally compared our method with the latest method by Achanta et al., and the results show that salient regions can be detected more clearly with our method.",

author = "Kohei Inoue and Kenji Hara and Kiichi Urahama",

year = "2011",

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T1 - Saliency map based on color histograms of inside and outside of clipped rectangular region

AU - Inoue, Kohei

AU - Hara, Kenji

AU - Urahama, Kiichi

PY - 2011

Y1 - 2011

N2 - We have proposed a method for clipping a rectangular region from an image by minimizing a weighted intersection of two color histograms that are constructed with pixels inside and outside the rectangular region. We propose a method for detecting salient regions which is based on two color histograms obtained by the clipping. We experimentally compared our method with the latest method by Achanta et al., and the results show that salient regions can be detected more clearly with our method.

AB - We have proposed a method for clipping a rectangular region from an image by minimizing a weighted intersection of two color histograms that are constructed with pixels inside and outside the rectangular region. We propose a method for detecting salient regions which is based on two color histograms obtained by the clipping. We experimentally compared our method with the latest method by Achanta et al., and the results show that salient regions can be detected more clearly with our method.

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Saliency map based on color histograms of inside and outside of clipped rectangular region

Abstract

All Science Journal Classification (ASJC) codes

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