The effect of automatic tagging using multilingual metadata for image retrieval

Arinori Takahashi, Reiko Hishiyama

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

Abstract

One of multimedia content acquisition method on the Web is using tag which is describe of content. However, different words may be tagged to the same or similar subjects, because tagging is performed in an essentially arbitrary manner by a human. In addition, tags are provided in specific language from the content. This model proposes the method of automatically tagging which compensate insufficient described content by using multilanguage. Our experimental evaluations showed that users could obtain more appropriate images with this method.

Original languageEnglish
Title of host publicationAdvances in Natural Language Processing, Intelligent Informatics and Smart Technology - Selected Revised Papers from the 11th International Symposium on Natural Language Processing SNLP-2016 and the 1st Workshop in Intelligent Informatics and Smart Technology
EditorsRachada Kongkachandra, Thepchai Supnithi, Thanaruk Theeramunkong
PublisherSpringer Verlag
Pages112-123
Number of pages12
ISBN (Print)9783319700151
DOIs
Publication statusPublished - 2018
Event11th International Symposium on Natural Language Processing, SNLP-2016 and 1st Workshop in Intelligent Informatics and Smart Technology, 2016 - Phranakhon Si Ayutthaya, Thailand
Duration: 2016 Feb 102016 Feb 12

Publication series

NameAdvances in Intelligent Systems and Computing
Volume684
ISSN (Print)2194-5357

Other

Other11th International Symposium on Natural Language Processing, SNLP-2016 and 1st Workshop in Intelligent Informatics and Smart Technology, 2016
CountryThailand
CityPhranakhon Si Ayutthaya
Period16/2/1016/2/12

Keywords

  • Automatic tagging
  • Image retrieval
  • Language grid
  • Multilingual retrieval

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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