Construction of a Local Attraction Map According to Social Visual Attention

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.