skip to main content
10.1145/1631272.1631537acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
short-paper

Classification and quality assessment of high quality digital photographs

Published:19 October 2009Publication History

ABSTRACT

We are interested in high quality photographs. This paper outlines our research proposal for the tasks of classification and quality assessment. We address these challenges by exploring the aesthetics from the combined perspectives of the artists and the photographers. We propose to use the aesthetic primitives of images for visualization as a guideline for high and low-level image feature extraction and to classify this high quality content into six creative exposure themes, which are commonly followed by the professional photographers. Then, we suggest to evaluate the quality of the photograph accordingly to these themes. We solve the problems using statistical modeling and learning approach.

References

  1. EXIF Specification. http://www.exif.org.Google ScholarGoogle Scholar
  2. Flickr Website. http://www.flickr.com.Google ScholarGoogle Scholar
  3. R. Datta, D. Joshi, J. Li, and J. Wang. Studying aesthetics in photographic images using a computational approach. In Proceedings of the ECCV'06, pages III: 288--301, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. M. J. Huiskes and M. S. Lew. The mir flickr retrieval evaluation. In MIR '08: Proceeding of the 1st ACM international conference on Multimedia information retrieval, pages 39--43, NY, USA, 2008. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Y. Ke, X. Tang, and F. Jing. The design of high-level features for photo quality assessment. In Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, volume 1, pages 419--426, 17-22 June 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. C. Li and T. Chen. Aesthetic visual quality assessment of paintings. IEEE Journal of Selected Topics in Signal Processing, 3(2):236--252, April 2009.Google ScholarGoogle ScholarCross RefCross Ref
  7. G. Peters. Aesthetic primitives of images for visualization. In Proc. 11th International Conference Information Visualization IV '07, pages 316--325, 4-6 July 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. B. Peterson. Understanding Exposure {Revised Edition}. AMPHOTO Book, 2004.Google ScholarGoogle Scholar

Index Terms

  1. Classification and quality assessment of high quality digital photographs

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Article Metrics

      • Downloads (Last 12 months)1
      • Downloads (Last 6 weeks)0

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader