Study of subjective and objective quality assessment of retargeted images

This paper presents the result of a recent large-scale subjective study of image retargeting quality on a collection of images generated by several representative image retargeting methods. Owning to many approaches to image retargeting that are developed, there is a need for a diverse independent p...

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Main Authors: Ma, Lin, Lin, Weisi, Deng, Chenwei, Ngan, King Ngi
Other Authors: School of Computer Engineering
Format: Conference Paper
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/102863
http://hdl.handle.net/10220/16927
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author Ma, Lin
Lin, Weisi
Deng, Chenwei
Ngan, King Ngi
author2 School of Computer Engineering
author_facet School of Computer Engineering
Ma, Lin
Lin, Weisi
Deng, Chenwei
Ngan, King Ngi
author_sort Ma, Lin
collection NTU
description This paper presents the result of a recent large-scale subjective study of image retargeting quality on a collection of images generated by several representative image retargeting methods. Owning to many approaches to image retargeting that are developed, there is a need for a diverse independent public database of the retargeted images and the corresponding subjective scores that is freely available. We build an image retargeting quality database, in which 171 retargeted images (obtained from 57 natural source images of different contents) were generated by several representative image retargeting methods. The perceptual quality of each image is evaluated by at least 30 human subjects and the mean opinion scores (MOS) were recorded. Furthermore, several publicly available quality metrics for the retargeted images are evaluated on the built database. The database is made available [1] to the research community in order to further research on the perceptual quality assessment of the retargeted images.
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spelling ntu-10356/1028632020-05-28T07:19:15Z Study of subjective and objective quality assessment of retargeted images Ma, Lin Lin, Weisi Deng, Chenwei Ngan, King Ngi School of Computer Engineering IEEE International Symposium on Circuits and Systems (2012 : Seoul, Korea) DRNTU::Engineering::Computer science and engineering::Information systems::Database management This paper presents the result of a recent large-scale subjective study of image retargeting quality on a collection of images generated by several representative image retargeting methods. Owning to many approaches to image retargeting that are developed, there is a need for a diverse independent public database of the retargeted images and the corresponding subjective scores that is freely available. We build an image retargeting quality database, in which 171 retargeted images (obtained from 57 natural source images of different contents) were generated by several representative image retargeting methods. The perceptual quality of each image is evaluated by at least 30 human subjects and the mean opinion scores (MOS) were recorded. Furthermore, several publicly available quality metrics for the retargeted images are evaluated on the built database. The database is made available [1] to the research community in order to further research on the perceptual quality assessment of the retargeted images. 2013-10-25T07:41:56Z 2019-12-06T21:01:17Z 2013-10-25T07:41:56Z 2019-12-06T21:01:17Z 2012 2012 Conference Paper Ma, L., Lin, W., Deng, C., & Ngan, K. N. (2012). Study of subjective and objective quality assessment of retargeted images. 2012 IEEE International Symposium on Circuits and Systems, 2677-2680. https://hdl.handle.net/10356/102863 http://hdl.handle.net/10220/16927 10.1109/ISCAS.2012.6271858 en © 2012 IEEE
spellingShingle DRNTU::Engineering::Computer science and engineering::Information systems::Database management
Ma, Lin
Lin, Weisi
Deng, Chenwei
Ngan, King Ngi
Study of subjective and objective quality assessment of retargeted images
title Study of subjective and objective quality assessment of retargeted images
title_full Study of subjective and objective quality assessment of retargeted images
title_fullStr Study of subjective and objective quality assessment of retargeted images
title_full_unstemmed Study of subjective and objective quality assessment of retargeted images
title_short Study of subjective and objective quality assessment of retargeted images
title_sort study of subjective and objective quality assessment of retargeted images
topic DRNTU::Engineering::Computer science and engineering::Information systems::Database management
url https://hdl.handle.net/10356/102863
http://hdl.handle.net/10220/16927
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AT dengchenwei studyofsubjectiveandobjectivequalityassessmentofretargetedimages
AT ngankingngi studyofsubjectiveandobjectivequalityassessmentofretargetedimages