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AesthetiCropper: A Cropping System for Novice Users to Make Aesthetic Images.

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Title: AesthetiCropper: A Cropping System for Novice Users to Make Aesthetic Images.
Authors: Wei, Suzhou (AUTHOR), Li, Jiahao (AUTHOR), Zhang, Yilong (AUTHOR), Liang, Xiao (AUTHOR), Sun, Haopeng (AUTHOR), Zhang, Yan (AUTHOR), Yao, Wei (AUTHOR), Xing, Shusong (AUTHOR), Zhang, Haining (AUTHOR), Wang, Binhui (AUTHOR)
Source: International Journal of Human-Computer Interaction. Mar2026, Vol. 42 Issue 6, p4290-4317. 28p.
Subjects: Aesthetics, Deep learning, User interfaces, Laypersons, User-centered system design, Image enhancement (Imaging systems)
Abstract: Image cropping is a crucial means of enhancing the aesthetic quality of images. However, it relies on photographic knowledge and experience. For novice users, it is challenging to obtain satisfactory results through cropping. To meet the image cropping needs of novice users and improve efficiency, this article designs and develops an intelligent image cropping application, AesthetiCropper, and proposes two cropping methods. One is based on visual balance. The other is based on deep learning. This system features an intuitive user interface and automatically crops images to high aesthetic standards. It also offers customizable parameters and an editing module to meet users' personalized requirements. User studies show that participants are more satisfied with the system's cropping results compared to manual ones. The System Usability Scale (SUS) score indicates that its usability reaches a good level, making it worthy of promotion. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
FullText Text:
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DbLabel: Psychology and Behavioral Sciences Collection
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PubType: Academic Journal
PubTypeId: academicJournal
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IllustrationInfo
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  Data: AesthetiCropper: A Cropping System for Novice Users to Make Aesthetic Images.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Wei%2C+Suzhou%22">Wei, Suzhou</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Jiahao%22">Li, Jiahao</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yilong%22">Zhang, Yilong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liang%2C+Xiao%22">Liang, Xiao</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Haopeng%22">Sun, Haopeng</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yan%22">Zhang, Yan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yao%2C+Wei%22">Yao, Wei</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xing%2C+Shusong%22">Xing, Shusong</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Haining%22">Zhang, Haining</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Binhui%22">Wang, Binhui</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Mar2026, Vol. 42 Issue 6, p4290-4317. 28p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Aesthetics%22">Aesthetics</searchLink><br /><searchLink fieldCode="DE" term="%22Deep+learning%22">Deep learning</searchLink><br /><searchLink fieldCode="DE" term="%22User+interfaces%22">User interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Laypersons%22">Laypersons</searchLink><br /><searchLink fieldCode="DE" term="%22User-centered+system+design%22">User-centered system design</searchLink><br /><searchLink fieldCode="DE" term="%22Image+enhancement+%28Imaging+systems%29%22">Image enhancement (Imaging systems)</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Image cropping is a crucial means of enhancing the aesthetic quality of images. However, it relies on photographic knowledge and experience. For novice users, it is challenging to obtain satisfactory results through cropping. To meet the image cropping needs of novice users and improve efficiency, this article designs and develops an intelligent image cropping application, AesthetiCropper, and proposes two cropping methods. One is based on visual balance. The other is based on deep learning. This system features an intuitive user interface and automatically crops images to high aesthetic standards. It also offers customizable parameters and an editing module to meet users' personalized requirements. User studies show that participants are more satisfied with the system's cropping results compared to manual ones. The System Usability Scale (SUS) score indicates that its usability reaches a good level, making it worthy of promotion. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=192312366
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        Type: general
      – SubjectFull: User interfaces
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              Text: Mar2026
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