Subjectivity in aesthetic quality assessment of digital photographs: Analysis of user comments

Won Hee Kim, Jun Ho Choi, Jong Seok Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

While most of the existing work in aesthetic image quality assessment focuses on the overall (or average) opinion of users, this paper raises the issue of subjectivity (or taste) of aesthetic quality. We argue that subjectivity differs among different images, and investigate what causes such difference. We first analyze statistics of the user ratings of photos in a photo contest website, DPChallenge, in the viewpoint of average and standard deviation values of the ratings. Then, more importantly, we analyze the users' comments in order to identify sources contributing to subjectivity. When considering the importance of personalization in photo applications, we believe that our findings will be a valuable first step in the relevant future research.

Original languageEnglish
Title of host publicationMM 2015 - Proceedings of the 2015 ACM Multimedia Conference
PublisherAssociation for Computing Machinery, Inc
Pages983-986
Number of pages4
ISBN (Electronic)9781450334594
DOIs
Publication statusPublished - 2015 Oct 13
Event23rd ACM International Conference on Multimedia, MM 2015 - Brisbane, Australia
Duration: 2015 Oct 262015 Oct 30

Publication series

NameMM 2015 - Proceedings of the 2015 ACM Multimedia Conference

Other

Other23rd ACM International Conference on Multimedia, MM 2015
CountryAustralia
CityBrisbane
Period15/10/2615/10/30

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

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    Kim, W. H., Choi, J. H., & Lee, J. S. (2015). Subjectivity in aesthetic quality assessment of digital photographs: Analysis of user comments. In MM 2015 - Proceedings of the 2015 ACM Multimedia Conference (pp. 983-986). (MM 2015 - Proceedings of the 2015 ACM Multimedia Conference). Association for Computing Machinery, Inc. https://doi.org/10.1145/2733373.2806380