Abstract
In this paper, we present an approach to estimate dynamic relations among major characters in family photo collections. This is a fully automated procedure which first identifies major characters in photo collections through face clustering. Then, based on demographic estimation, facial similarity, co-appearance information and people’s positions in photos, social relations of people such as husband/wife, parents/kids, siblings, relatives and friends can be derived. A workflow is proposed to integrate the information from different aspects in order to give the optimal result. Especially, based on timestamps of photos, dynamic relation trees are displayed to show the evolution of people’s relations over time.
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhang, T., Chao, H., Tretter, D. (2011). Dynamic Estimation of Family Relations from Photos. In: Lee, KT., Tsai, WH., Liao, HY.M., Chen, T., Hsieh, JW., Tseng, CC. (eds) Advances in Multimedia Modeling. MMM 2011. Lecture Notes in Computer Science, vol 6524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17829-0_7
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DOI: https://doi.org/10.1007/978-3-642-17829-0_7
Publisher Name: Springer, Berlin, Heidelberg
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