Algorithmic inferencing of aesthetics and emotion in natural images: An exposition

Ritendra Datta, Jia Li, James Z. Wang

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

91 Scopus citations

Abstract

Initial studies have shown that automatic inference of high-level image quality or aesthetics is very challenging. The ability to do so, however, can prove beneficial in many applications. In this paper, we define the aesthetics gap and discuss key aspects of the problem of aesthetics and emotion inference in natural images. We introduce precise, relevant questions to be answered, the effect that the target audience has on the problem specification, broad technical solution approaches, and assessment criteria. We then report on our effort to build real-world datasets that provide viable approaches to test and compare algorithms for these problems, presenting statistical analysis of and insights into them.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages105-108
Number of pages4
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: Oct 12 2008Oct 15 2008

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2008 IEEE International Conference on Image Processing, ICIP 2008
CountryUnited States
CitySan Diego, CA
Period10/12/0810/15/08

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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    Datta, R., Li, J., & Wang, J. Z. (2008). Algorithmic inferencing of aesthetics and emotion in natural images: An exposition. In 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings (pp. 105-108). [4711702] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2008.4711702