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Video Summarization Using Eye Tracking and Electroencephalogram (EEG) Data

  • Journal of the Korean Society for Library and Information Science
  • 2022, 56(1), pp.95-117
  • DOI : 10.4275/KSLIS.2022.56.1.095
  • Publisher : 한국문헌정보학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : January 17, 2022
  • Accepted : February 22, 2022
  • Published : February 28, 2022

Kim, Hyun Hee 1 Yong-Ho Kim 2

1명지대학교
2부경대학교 신문방송학과

Excellent Accredited

ABSTRACT

This study developed and evaluated audio-visual (AV) semantics-based video summarization methods using eye tracking and electroencephalography (EEG) data. For this study, twenty-seven university students participated in eye tracking and EEG experiments. The evaluation results showed that the average recall rate (0.73) of using both EEG and pupil diameter data for the construction of a video summary was higher than that (0.50) of using EEG data or that (0.68) of using pupil diameter data. In addition, this study reported that the reasons why the average recall (0.57) of the AV semantics-based personalized video summaries was lower than that (0.69) of the AV semantics-based generic video summaries. The differences and characteristics between the AV semantics-based video summarization methods and the text semantics-based video summarization methods were compared and analyzed.

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.