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Discovering Collective Narratives of Theme Parks from Large Collections of Visitors' Photo Streams
2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15
We present an approach for generating pictorial storylines from large collections of online photo streams shared by visitors to theme parks (e.g. Disneyland), along with publicly available information such as visitor's maps. The story graph visualizes various events and activities recurring across visitors' photo sets, in the form of hierarchically branching narrative structure associated with attractions and districts in theme parks. We first estimate story elements of each photo stream,
doi:10.1145/2783258.2788569
dblp:conf/kdd/KimS15
fatcat:xhztwmtaajckjp62jpqjerswae