NDLI: Saliency detection: A self-ordinal resemblance approach

Content Provider	IEEE Xplore Digital Library
Author	Wonjun Kim Chanho Jung Changick Kim
Copyright Year	2010
Description	Author affiliation: Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon 305-714, South Korea (Wonjun Kim; Chanho Jung; Changick Kim)
Abstract	In saliency detection, regions attracting visual attention need to be highlighted while effectively suppressing non-salient regions for the semantic scene understanding. However, most previous methods tend to fail in suppressing highly textured backgrounds and also high contrast edges belonging to the non-salient regions. To address this problem, we propose a method for detecting salient regions based on a self-ordinal resemblance measure (SORM). Our saliency map is defined by using the center-surround computations based on the ordinal signatures obtained from local regions centered at each pixel. It can be regarded as an energy map and thus extended to image retargeting. Our approach is fully automatic and nonparametric. To justify robustness of our approach, the proposed method is compared with the state of the art methods on various $images.^{1}$
Starting Page	1260
Ending Page	1265
File Size	926331
Page Count	6
File Format	PDF
ISBN	9781424474912
ISSN	1945788X
e-ISBN	9781424474936
DOI	10.1109/ICME.2010.5583287
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-19
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pixel Image color analysis Image edge detection Robustness Noise measurement Noise Visualization energy map Saliency detection visual attention self-ordinal resemblance
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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