Visual-attention-based thumbnail using two-stage GrabCut

Keisuke Arai, Hiromasa Takei, Hayato Yamana

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

1 Citation (Scopus)

Abstract

This paper proposes a new thumbnail generation method to improve the recognizability of visual attention objects on small displays. Previous methods such as simple scaling reduce the recognizability of original images because the visual attention objects become too small to recognize. When we view thumbnails on small displays such as those of mobile devices, recognizability is indispensable for handling many images simultaneously. To solve the problem of low recognizability of visual attention objects, we adopt GrabCut to extract visual attention objects from an original image and then divide the original image into visual attention objects and a background image. While the background image is reduced to fit the size of a thumbnail, the extracted visual attention objects are merged into the reduced background image to preserve their recognizability. In adopting GrabCut, we propose a two-stage GrabCut method to automate the extraction of attention objects; the extraction was performed by hand in previous methods. Our experimental results show that our proposed method is able to shorten the search time by 44% and improve the precision of the search by 19% in comparison with simple scaling.

Original languageEnglish
Title of host publicationProceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012
Pages96-101
Number of pages6
DOIs
Publication statusPublished - 2012 Nov 29
Event2012 International Conference on Multimedia Computing and Systems, ICMCS 2012 - Tangiers, Morocco
Duration: 2012 May 102012 May 12

Publication series

NameProceedings of 2012 International Conference on Multimedia Computing and Systems, ICMCS 2012

Conference

Conference2012 International Conference on Multimedia Computing and Systems, ICMCS 2012
CountryMorocco
CityTangiers
Period12/5/1012/5/12

Keywords

  • GrabCut
  • content-aware image resizing
  • seam carving
  • small-size displays
  • thumbnail

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

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