Abstract
A lifelog is a digital record of human life and behavior. In recent years, with the development of wearable devices, it has become possible to record personal experiences for long periods. Future devices might record long lifelogs without imposing a heavy burden. Nevertheless, an important difficulty is that reviewing data recorded over a long period takes much time. Therefore, for this study, we aim to create a system that summarizes a lifelog video automatically for easy review. As described herein, we specifically emphasized eye tracking and examined which of three methods is most effective for video summarization: pupil diameter, saccade, or saliency map.
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Uchiya, T., Sugiura, S., Takumi, I. (2020). Proposal of Recollection Support System After Motorcycle Touring with Eye Tracking. In: Barolli, L., Hussain, F., Ikeda, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2019. Advances in Intelligent Systems and Computing, vol 993. Springer, Cham. https://doi.org/10.1007/978-3-030-22354-0_55
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DOI: https://doi.org/10.1007/978-3-030-22354-0_55
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