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Understanding Topical Relevance of Multimedia based on EEG Techniques

뇌파측정기술(EEG)에 기초한 멀티미디어 자료의 주제 적합성에 관한 연구

  • 김현희 (명지대학교 문헌정보학과) ;
  • 김용호 (부경대학교 신문방송학과)
  • Received : 2016.07.25
  • Accepted : 2016.08.18
  • Published : 2016.08.30

Abstract

This study proposed two topical relevance models, simple and complex models, using EEG/ERP techniques. In the simple model regarding simple search tasks, N300 and P3b components are used. The N300 is specific to the semantic processing of pictures and the P3b reflects mechanisms involved in the decision about whether an external stimulus matches or does not match an internal representation of a specific category. In the complex model regarding complex search tasks, on the other hand, N400 and P600 components are used. The N400 reflects activation of an amodel system that integrates both image-based and conceptual representations into a context, whereas the P600 is related to complex cognitive processes. Our research results can be used as a source to design an EEG-based interactive multimedia system.

Keywords

EEG;ERP;Simple Topical-relevance Model;Complex Topical-relevance Model;Video;Relevance

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