User study of automatic photo classifier by color and timestamp

Yuki Orii, Takayuki Nozawa, Toshiyuki Kondo

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

Abstract

We developed a new web-based intelligent photo browsing system which helps to find desired photos more efficiently from unfamiliar photo collections. We conducted a user study to assess the effectiveness of the developed photo browser (automatic photo classifier by color and timestamp, APC-CT) compared to ones with other clustering methods. The user task adopted here was to find some target photographs indicated by the experimenter from somebody else's photo collections. The results show that APC-CT makes it faster to find the target photographs. Also, we confirmed that clustering using timestamp makes photo browsing more efficient even for unfamiliar photo collections.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Pages9-12
Number of pages4
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009 - Milano, Italy
Duration: 2009 Sep 152009 Sep 18

Publication series

NameProceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Volume3

Other

Other2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
CountryItaly
CityMilano
Period09/9/1509/9/18

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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