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Towards the Generation of Language-based Sound Summaries Using Electroencephalogram Measurements

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2019, 36(3), pp.131~148
  • DOI : 10.3743/KOSIM.2019.36.3.131
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : August 19, 2019
  • Accepted : September 24, 2019
  • Published : September 30, 2019

Kim, Hyun Hee 1 Yong-Ho Kim 2

1명지대학교
2부경대학교

Accredited

ABSTRACT

This study constructed a cognitive model of information processing to understand the topic of a sound material and its characteristics. It then proposed methods to generate sound summaries, by incorporating anterior-posterior N400/P600 components of event-related potential (ERP) response, into the language representation of the cognitive model of information processing. For this end, research hypotheses were established and verified them through ERP experiments, finding that P600 is crucial in screening topic-relevant shots from topic-irrelevant shots. The results of this study can be applied to the design of classification algorithm, which can then be used to generate the content-based metadata, such as generic or personalized sound summaries and video skims.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.