Chenwei Deng |
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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 |
We have considered four attributes, specifically face and people, clear foreground object, natural scenery, and geometric structure. We define the clear foreground object attribute as that the salient object should occupy the image region smaller than 50% of the source image. The natural scenery attribute means that a large proportion of the image contains the texture or smooth information. And the geometric structure attribute denotes that there are evident edges or lines in the source image. The detailed attribute information of each source image is illustrated in the following table. Firstly, it can be observed that one image may contain more than one attributes. Secondly, the dominant attribute of each source image is illustrated. We sort the attributes of each source image according to the attribute importance.
The attribute information of the source image. (1 indicates the attribute of “face and people”; 2 indicates the attribute of “clear foreground object”; 3 indicates the attribute of “natural scenery”; 4 indicates the attribute of the “geometric structure”. The attributes are sorted according to their corresponding importance. The left attribute denotes the most important, while the right one is the least important.)
Detailed information about the source image attribute information can be found in the SUPPLEMENTARY.
The obtained MOS value of each retargeted image after the subjective testing and data processing. The horizontal axes corresponds to the image number, and the vertical axes corresponds to the MOS value. The red star indicates the obtained MOS value for each retargeted image. The blue error bar indicates the standard deviation of the subjective scores.
There are in total 171 retargeted images in the built database. Detailed information about the retargeted image name and its corresponding number are shown in the SUPPLEMENTARY. It can be observed that each source image shown in session 1 generates 3 retargeted images by different methods and in different scales.
Histogram of the MOS values in 15 equally spaced bins between the minimum and maximum MOS values of the image retargeting database (In total, 171 retargeted images are included in the database).
The perceptual qualities of the retargeted images in the database should span the entire range of visual quality and exhibit good perceptual quality separation. The histogram of the MOS values is illustrated above. It can be observed that the perceptual qualities of the images range from low to high values. Also it demonstrates that the subjective study samples a range of perceptual quality in an approximately uniform fashion. The image perceptual qualities exhibit a good separation.
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