Abstract
Social media on the Internet where millions of people share their personal experiences, can be considered as an information source that implies people’s implicit and/or explicit visual attentions. Especially, when the attentions of many people around a specific geographic location focus on a common content, we may assume that there is a certain target that attracts people’s attentions in the area. In this paper, we propose a framework that detects people’s common attention in a local area (local attraction) from a large number of geo-tagged photos, and its visualization on the “Local Attraction Map”. Based on the framework, as a first step of the research, we report the results from a user study performed on a Local Attraction Map browsing interface that showed the representative scene categories as local attractions for geographic clusters of the geo-tagged photos.
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Ide, I., Wang, J., Noda, M., Takahashi, T., Deguchi, D., Murase, H. (2012). Construction of a Local Attraction Map According to Social Visual Attention. In: Watanabe, T., Watada, J., Takahashi, N., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia: Systems and Services. Smart Innovation, Systems and Technologies, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29934-6_15
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DOI: https://doi.org/10.1007/978-3-642-29934-6_15
Publisher Name: Springer, Berlin, Heidelberg
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