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Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
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MYU K.K.
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The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 29, Number 11 (2017)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 1483-1490
S&M1442 Research Paper of Special Issue https://doi.org/10.18494/SAM.2017.1657 Published: November 24, 2017 Image Resizing in Saliency Histogram Domain [PDF] Hsi-Chin Hsin, Chien-Kun Su, and Yueh-Chi Chen (Received March 30, 2017; Accepted August 4, 2017) Keywords: image resizing, video resizing, saliency map, warping, mesh
The saliency map of an image provides useful information regarding the region of interest. In this paper, the normalized saliency map, called the saliency histogram, is used as a valid probability density function, based on which an efficient algorithm has been proposed for image resizing in the saliency histogram domain. Moreover, the saliency-histogram-based image resizing algorithm has been extended to video applications. Experimental results show the performance of the saliency histogram in terms of the preservation of salient objects in resized images and videos. The proposed approach is suitable for content-driven surveillance with multiresolution image sensor systems.
Corresponding author: Hsi-Chin Hsin Cite this article Hsi-Chin Hsin, Chien-Kun Su, and Yueh-Chi Chen, Image Resizing in Saliency Histogram Domain, Sens. Mater., Vol. 29, No. 11, 2017, p. 1483-1490. |
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