Impact of image appeal on visual attention during photo triaging

Syed Omer Gilani, Ramanathan Subramanian, Huang Hua, Stefan Winkler, Shih Cheng Yen

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

7 Citations (Scopus)

Abstract

Image appeal is determined by factors such as exposure, white balance, motion blur, scene perspective, and semantics. All these factors influence the selection of the best image(s) in a typical photo triaging task. This paper presents the results of an exploratory study on how image appeal affected selection behavior and visual attention patterns of 11 users, who were assigned the task of selecting the best photo from each of 40 groups. Images with low appeal were rejected, while highly appealing images were selected by a majority. Images with higher appeal attracted more visual attention, and users spent more time exploring them. A comparison of user eye fixation maps with three state-of-the-art saliency models revealed that these differences are not captured by the models.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
EditorsDavid Taubman, Min Wu
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages231-235
Number of pages5
ISBN (Print)9781479923410
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: 15 Sep 201318 Sep 2013

Publication series

Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Conference

Conference2013 20th IEEE International Conference on Image Processing, ICIP 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period15/09/1318/09/13

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