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Detection of Disaster-Affected Cultural Heritage Sites from Social Media Images Using Deep Learning Techniques
2020
ACM Journal on Computing and Cultural Heritage
This paper describes a method for early detection of disaster-related damage to cultural heritage. It is based on data from social media, a timely and large-scale data source that is nevertheless quite noisy. First, we collect images posted on social media that may refer to a cultural heritage site. Then, we automatically categorize these images according to two dimensions: whether they are indeed a photo in which a cultural heritage resource is the main subject, and whether they represent
doi:10.1145/3383314
fatcat:jztfswkcvzdadcla22yvuhbn7m