Image Retargeting Subjective Quality Database

Lin Ma	Weisi Lin	Chenwei Deng	King Ngi Ngan
lma@ee.cuhk.edu.hk	wslin@ntu.edu.sg	cwdeng@ntu.edu.sg	knngan@ee.cuhk.edu.hk
Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong	School of Computer Engineering, Nanyang Technological University, Singapore	School of Computer Engineering, Nanyang Technological University, Singapore	Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong

Download:

The subjective testing is performed in two sessions. And the obtained subjective ratings are also processed seperatedly.

Download the image retargeting subjective database SESSION_1 & SESSION_2, and the SOURCE IMAGES ONLY.

For requiring the unzipping password, please contact the investigator Lin Ma (lma@ee.cuhk.edu.hk).

How to Cite the Image Retargeting Subjective Quality Database:

This websit accompanies our papers:

Lin Ma, Weisi Lin, Chenwei Deng, and King N. Ngan, "Image Retargeting Quality Assessment: A Study of Subjective Scores and Objective Metrics", IEEE Journal of Selected Topics in Signal Processing, Special Issue on New Subjective and Objective Methodologies for Audio and Visual Signal Processing, vol. 6, no. 6, pp. 626-639, Oct. 2012. [Full Text]

Lin Ma, Weisi Lin, Chenwei Deng, and King N. Ngan, "Study of Subjective and Objective Quality Assessment of Retargeted Images", International Symposium on Circuits and Systems (ISCAS 2012), Seoul, Korea, May 20-23, 2012. [Full Text]

Please cite these two papers if you use any part of the images, or data supplied in this website. For questions or comments, please contact Lin Ma.

Online Subjective Testing and Results:


Online Subjective Testing	Database and Results

Copyright Notice:

All rights reserved.Permission is hereby granted, without written agreement and without license or royalty fees, to use, copy, and distribute this database (the images, the results, and the source files) and its documentation for non-commercial research and educational purposes only, provided that the copyright notice in its entirety appear in all copies of this database, and the original source of this database, Image and Video Processing Laboratory (IVP, http://ivp.ee.cuhk.edu.hk/) at The Chinese University of Hong Kong, is acknowledged in any publication that reports research using this database.

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