An evaluation strategy for visual key image retrieval on mobile devices

Kazushi Okamoto*, Kazuhiko Kawamoto, Fangyan Dong, Shinichi Yoshida, Kaoru Hirota

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

An evaluation strategy for visual key image retrieval systems is proposed in order to show the design criteria of a querying interface on mobile devices. Indexes (lists of visual keys) generated by different number of visual keys and visual features are validated using Art- Explosion 600,000, which contains about 300 semantic categories and over 100,000 natural photos. The result suggests that access to a collection with a visual key can provide a relevant image in rank 10 and 4 relevant images in rank 20 when the number of visual keys is 60, which is the lower limit. In portable devices, which display 16 visual keys per page, users can at least access a required image by browsing only 4 pages with 60 visual keys, and can use the image for related subsequent queries by using the other image retrieval functions.

Original languageEnglish
Pages (from-to)713-722
Number of pages10
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Volume16
Issue number6
DOIs
Publication statusPublished - Sept 2012
Externally publishedYes

Keywords

  • Clustering
  • Image retrieval
  • Indexing
  • Retrieval accuracy
  • Visual feature

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