Image retargeting quality assessment : a study of subjective scores and objective metrics

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 have been developed, there is a need for a diverse indepen...

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Main Authors: Ma, Lin, Lin, Weisi, Deng, Chenwei, Ngan, King Ngi
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/102770
http://hdl.handle.net/10220/16442
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1027702020-05-28T07:17:56Z Image retargeting quality assessment : a study of subjective scores and objective metrics Ma, Lin Lin, Weisi Deng, Chenwei Ngan, King Ngi School of Computer Engineering DRNTU::Engineering::Computer science and engineering 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 have been developed, there is a need for a diverse independent public database of the retargeted images and the corresponding subjective scores to be freely available. We build an image retargeting quality database, in which 171 retargeted images (obtained from 57 natural source images of different contents) were created by several representative image retargeting methods. And the perceptual quality of each image is subjectively rated by at least 30 viewers, meanwhile the mean opinion scores (MOS) were obtained. It is revealed that the subject viewers have arrived at a reasonable agreement on the perceptual quality of the retargeted image. Therefore, the MOS values obtained can be regarded as the ground truth for evaluating the quality metric performances. The database is made publicly available (Image Retargeting Subjective Database, [Online]. Available: http://ivp.ee.cuhk.edu.hk/projects/demo/retargeting/index.html) to the research community in order to further research on the perceptual quality assessment of the retargeted images. Moreover, the built image retargeting database is analyzed from the perspectives of the retargeting scale, the retargeting method, and the source image content. We discuss how to retarget the images according to the scale requirement and the source image attribute information. Furthermore, several publicly available quality metrics for the retargeted images are evaluated on the built database. How to develop an effective quality metric for retargeted images is discussed through a specifically designed subjective testing process. It is demonstrated that the metric performance can be further improved, by fusing the descriptors of shape distortion and content information loss. 2013-10-10T08:46:27Z 2019-12-06T21:00:02Z 2013-10-10T08:46:27Z 2019-12-06T21:00:02Z 2012 2012 Journal Article Ma, L., Lin, W., Deng, C., & Ngan, K. N. (2012). Image retargeting quality assessment : a study of subjective scores and objective metrics. IEEE journal of selected topics in signal processing, 6(6), 626-639. 1932-4553 https://hdl.handle.net/10356/102770 http://hdl.handle.net/10220/16442 10.1109/JSTSP.2012.2211996 en IEEE journal of selected topics in signal processing © 2012 IEEE
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Ma, Lin
Lin, Weisi
Deng, Chenwei
Ngan, King Ngi
Image retargeting quality assessment : a study of subjective scores and objective metrics
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 have been developed, there is a need for a diverse independent public database of the retargeted images and the corresponding subjective scores to be freely available. We build an image retargeting quality database, in which 171 retargeted images (obtained from 57 natural source images of different contents) were created by several representative image retargeting methods. And the perceptual quality of each image is subjectively rated by at least 30 viewers, meanwhile the mean opinion scores (MOS) were obtained. It is revealed that the subject viewers have arrived at a reasonable agreement on the perceptual quality of the retargeted image. Therefore, the MOS values obtained can be regarded as the ground truth for evaluating the quality metric performances. The database is made publicly available (Image Retargeting Subjective Database, [Online]. Available: http://ivp.ee.cuhk.edu.hk/projects/demo/retargeting/index.html) to the research community in order to further research on the perceptual quality assessment of the retargeted images. Moreover, the built image retargeting database is analyzed from the perspectives of the retargeting scale, the retargeting method, and the source image content. We discuss how to retarget the images according to the scale requirement and the source image attribute information. Furthermore, several publicly available quality metrics for the retargeted images are evaluated on the built database. How to develop an effective quality metric for retargeted images is discussed through a specifically designed subjective testing process. It is demonstrated that the metric performance can be further improved, by fusing the descriptors of shape distortion and content information loss.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Ma, Lin
Lin, Weisi
Deng, Chenwei
Ngan, King Ngi
format Article
author Ma, Lin
Lin, Weisi
Deng, Chenwei
Ngan, King Ngi
author_sort Ma, Lin
title Image retargeting quality assessment : a study of subjective scores and objective metrics
title_short Image retargeting quality assessment : a study of subjective scores and objective metrics
title_full Image retargeting quality assessment : a study of subjective scores and objective metrics
title_fullStr Image retargeting quality assessment : a study of subjective scores and objective metrics
title_full_unstemmed Image retargeting quality assessment : a study of subjective scores and objective metrics
title_sort image retargeting quality assessment : a study of subjective scores and objective metrics
publishDate 2013
url https://hdl.handle.net/10356/102770
http://hdl.handle.net/10220/16442
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