An Implementation Method of Associative Search for Heterogenous Mediadata Utilizing the Mathematical Model of Meaning and its Application to Image Data and Facial Expression

Takafumi Nakanishi, Takashi Kitagawa, Yasushi Kiyoki

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

This paper presents an implementation method of associative search for heterogenous mediadata. This method applies several recognition mechanisms of human "Kansei" for realizing associative search. The feature of this method is to bridge over heterogeneous mediadata which exist independently as different database resources. In this paper, we show an associative search method with media-to-media transformation from a picture to a facial expression. We clarify the effectiveness of our method by showing several experimental results.

Original languageEnglish
Pages613-618
Number of pages6
Publication statusPublished - 2003 Nov 7
Event2003 IEEE Pacific Rim Conference on Communications Computers and Signal Processing (PACRIM 2003) - Victoria, B.C., Canada
Duration: 2003 Aug 282003 Aug 30

Other

Other2003 IEEE Pacific Rim Conference on Communications Computers and Signal Processing (PACRIM 2003)
CountryCanada
CityVictoria, B.C.
Period03/8/2803/8/30

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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    Nakanishi, T., Kitagawa, T., & Kiyoki, Y. (2003). An Implementation Method of Associative Search for Heterogenous Mediadata Utilizing the Mathematical Model of Meaning and its Application to Image Data and Facial Expression. 613-618. Paper presented at 2003 IEEE Pacific Rim Conference on Communications Computers and Signal Processing (PACRIM 2003), Victoria, B.C., Canada.