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Toward a Key-frame Extraction Framework for Video Storyboard Surrogates Based on Users’ EEG Signals

Kim, Hyun Hee 1 Yong-Ho Kim 2

1명지대학교
2부경대학교

Accredited

ABSTRACT

This study examined the feasibility of using EEG signals and ERP P3b for extracting video key-frames based on users’ cognitive responses. Twenty participants were used to collect EEG signals. This research found that the average amplitude of right parietal lobe is higher than that of left parietal lobe when relevant images were shown to participants; there is a significant difference between the average amplitudes of both parietal lobes. On the other hand, the average amplitude of left parietal lobe in the case of non-relevant images is lower than that in the case of relevant images. Moreover, there is no significant difference between the average amplitudes of both parietal lobes in the case of non-relevant images. Additionally, the latency of MGFP1 and channel coherence can be also used as criteria to extract key-frames.

Citation status

* References for papers published after 2022 are currently being built.