Object Retrieval by Query with Sensibility Based on the KANSEI-Vocabulary Scale

  • Sunkyoung Baek
  • Myunggwon Hwang
  • Miyoung Cho
  • Chang Choi
  • Pankoo Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3979)


Recently the demand for image retrieval and recognizable extraction corresponding to KANSEI (sensibility) has been increasing, and the studies focused on establishing those KANSEI-based systems have been progressing more than ever. In addition, the attempt to understand, measure and evaluate, and apply KANSEI to situational design or products will be required more and more in the future. Particularly, study of KANSEI-based image retrieval tools have especially been in the spotlight. So many investigators give a trial of using KANSEI for image retrieval. However, the research in this area is still under its primary stage because it is difficult to process higher-level contents as emotion or KANSEI of human. To solve this problem, we suggest the KANSEI-Vocabulary Scale by associating human sensibilities with shapes among visual information. And we construct the object retrieval system for evaluation of KANSEI-Vocabulary Scale by shape. In our evaluation results, we are able to retrieve object images with the most appropriate shape in term of the query’s KANSEI. Furthermore, the method achieves an average rate of 71% user’s satisfaction.


Visual Information Image Retrieval Geometrical Form Contour Detection Object Retrieval 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sunkyoung Baek
    • 1
  • Myunggwon Hwang
    • 1
  • Miyoung Cho
    • 1
  • Chang Choi
    • 1
  • Pankoo Kim
    • 1
  1. 1.Dept. of Computer ScienceChosun UniversityGwangjuKorea

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