Abstract
In this paper, we investigate the influence of facial parameters on the subjective impression that is created when looking at photographs containing people in the context of keyframe extraction from home video. Hypotheses about the influence of investigated parameters on the impression are experimentally validated with respect to a given viewing perspective. Based on the findings from a conducted user experiment, we propose a novel human-centric image scoring method based on weighted face parameters. As a novelty to the field of keyframe extraction, the proposed method considers facial expressions besides other parameters. We evaluate its effectiveness in terms of correlation between the image score and a ground truth user impression score. The results show that the consideration of facial expressions in the proposed method improves the correlation compared to image scores that rely on commonly used face parameters such as size and location.
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Kowalik, U., Irie, G., Miyazaki, Y., Kojima, A. (2010). Facial Parameters and Their Influence on Subjective Impression in the Context of Keyframe Extraction from Home Video Contents. In: Boll, S., Tian, Q., Zhang, L., Zhang, Z., Chen, YP.P. (eds) Advances in Multimedia Modeling. MMM 2010. Lecture Notes in Computer Science, vol 5916. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11301-7_11
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DOI: https://doi.org/10.1007/978-3-642-11301-7_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11300-0
Online ISBN: 978-3-642-11301-7
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