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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 damage. Both categorizations are challenging image classification tasks, given the ambiguity of these visual categories; we tackle both tasks using a convolutional neural network. We test our methodology on a large collection of thousands of images from the web and social media, which exhibit the diversity and noise that is typical of these sources, and contain buildings and other architectural elements, heritage and not-heritage, damaged by disasters as well as intact. Our results show that while the automatic classification is not perfect, it can greatly reduce the manual effort required to find photos of damaged cultural heritage by accurately detecting relevant candidates to be examined by a cultural heritage professional.<\/jats:p>","DOI":"10.1145\/3383314","type":"journal-article","created":{"date-parts":[[2020,7,7]],"date-time":"2020-07-07T12:36:59Z","timestamp":1594125419000},"page":"1-31","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":58,"title":["Detection of Disaster-Affected Cultural Heritage Sites from Social Media Images Using Deep Learning Techniques"],"prefix":"10.1145","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6656-164X","authenticated-orcid":false,"given":"Pakhee","family":"Kumar","sequence":"first","affiliation":[{"name":"IMT School for Advanced Studies Lucca, Piazza San Francesco, Lucca, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3918-3230","authenticated-orcid":false,"given":"Ferda","family":"Ofli","sequence":"additional","affiliation":[{"name":"Qatar Computing Research Institute, HBKU, Doha, Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad","family":"Imran","sequence":"additional","affiliation":[{"name":"Qatar Computing Research Institute, HBKU, Doha, Qatar"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlos","family":"Castillo","sequence":"additional","affiliation":[{"name":"Universitat Pompeu Fabra, Boronat, Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,8,16]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1080\/13527250600604639"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3110025.3110164"},{"key":"e_1_2_1_3_1","volume-title":"Proceedings of the International AAAI Conference on Web and Social Media (ICWSM). 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In ISCRAM."},{"key":"e_1_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/DigitalHeritage.2013.6744769"},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1002\/meet.14504901287"},{"key":"e_1_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1177\/2455929616649476"},{"key":"e_1_2_1_50_1","volume-title":"et\u00a0al","author":"Jigyasu Rohit","year":"2013","unstructured":"Rohit Jigyasu , Manas Murthy , Giovanni Boccardi , Christopher Marrion , Diane Douglas , Joseph King , Geoff O\u2019Brien , Glenn Dolcemascolo , Yongkyun Kim , Paola Albrito , et\u00a0al . 2013 . Heritage and resilience: Issues and opportunities for reducing disaster risks. (2013). Rohit Jigyasu, Manas Murthy, Giovanni Boccardi, Christopher Marrion, Diane Douglas, Joseph King, Geoff O\u2019Brien, Glenn Dolcemascolo, Yongkyun Kim, Paola Albrito, et\u00a0al. 2013. Heritage and resilience: Issues and opportunities for reducing disaster risks. 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Image-based delineation of built heritage masonry for automatic classification . In Image Analysis and Recognition, Mohamed Kamel and Aur\u00e9lio Campilho (Eds.). Springer , Berlin , 782--789. Noelia Oses and Fadi Dornaika. 2013. Image-based delineation of built heritage masonry for automatic classification. In Image Analysis and Recognition, Mohamed Kamel and Aur\u00e9lio Campilho (Eds.). Springer, Berlin, 782--789."},{"key":"e_1_2_1_72_1","volume-title":"Technology","author":"Pearl Sharrona","unstructured":"Sharrona Pearl . 2015. Images, Ethics , Technology . Routledge . Sharrona Pearl. 2015. Images, Ethics, Technology. 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In Proceedings of the 3rd International Conference on Learning Representations, ICLR. 14. http:\/\/arxiv.org\/abs\/1409.1556."},{"key":"e_1_2_1_80_1","doi-asserted-by":"publisher","DOI":"10.1080\/01900699908525403"},{"key":"e_1_2_1_81_1","volume-title":"Library of Congress, Prints and Photographs Division, 55","author":"Springer Michelle","year":"2008","unstructured":"Michelle Springer , Beth Dulabahn , Phil Michel , Barbara Natanson , David W. Reser , Nicole B. Ellison , Helena Zinkham , and David Woodward . 2008 . For the common good: The Library of Congress Flickr pilot project . Library of Congress, Prints and Photographs Division, 55 . Michelle Springer, Beth Dulabahn, Phil Michel, Barbara Natanson, David W. Reser, Nicole B. Ellison, Helena Zinkham, and David Woodward. 2008. For the common good: The Library of Congress Flickr pilot project. Library of Congress, Prints and Photographs Division, 55."},{"key":"e_1_2_1_83_1","volume-title":"AAAI Conference on Artificial Intelligence (AAAI). 4278--4284","author":"Szegedy Christian","unstructured":"Christian Szegedy , Sergey Ioffe , Vincent Vanhoucke , and Alexander A. Alemi . 2017. Inception-v4, inception-resnet and the impact of residual connections on learning . In AAAI Conference on Artificial Intelligence (AAAI). 4278--4284 . Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, and Alexander A. Alemi. 2017. Inception-v4, inception-resnet and the impact of residual connections on learning. In AAAI Conference on Artificial Intelligence (AAAI). 4278--4284."},{"key":"e_1_2_1_84_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1--9. DOI:https:\/\/doi.org\/10","author":"Szegedy C.","year":"2015","unstructured":"C. Szegedy , Wei Liu , Yangqing Jia , P. Sermanet , S. Reed , D. Anguelov , D. Erhan , V. Vanhoucke , and A. Rabinovich . 2015. Going deeper with convolutions . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1--9. DOI:https:\/\/doi.org\/10 .1109\/CVPR. 2015 .7298594 C. Szegedy, Wei Liu, Yangqing Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. 2015. Going deeper with convolutions. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1--9. DOI:https:\/\/doi.org\/10.1109\/CVPR.2015.7298594"},{"key":"e_1_2_1_85_1","volume-title":"Building Safer Cities -- the Future of Disaster Risk","author":"Taboroff June","unstructured":"June Taboroff . 2003. Natural disasters and urban cultural heritage: A reassessment . In Building Safer Cities -- the Future of Disaster Risk , Alcira Kreimer, Margaret Arnold, and Anne Carlin (Eds.). World Bank , Washington, DC , Chapter 16, 233--240. June Taboroff. 2003. Natural disasters and urban cultural heritage: A reassessment. In Building Safer Cities -- the Future of Disaster Risk, Alcira Kreimer, Margaret Arnold, and Anne Carlin (Eds.). World Bank, Washington, DC, Chapter 16, 233--240."},{"key":"e_1_2_1_86_1","volume-title":"Proceedings of the ICOM-CC 18th Triennial Conference.","author":"Tandon Aparna","year":"2017","unstructured":"Aparna Tandon . 2017 . Post-disaster damage assessment of cultural heritage: Are we prepared? In Proceedings of the ICOM-CC 18th Triennial Conference. Aparna Tandon. 2017. Post-disaster damage assessment of cultural heritage: Are we prepared? In Proceedings of the ICOM-CC 18th Triennial Conference."},{"key":"e_1_2_1_87_1","doi-asserted-by":"publisher","DOI":"10.1353\/lib.2011.0022"},{"key":"e_1_2_1_88_1","first-page":"8","article-title":"The random subspace method for constructing decision forests","volume":"20","author":"Ho Tin Kam","year":"1998","unstructured":"Tin Kam Ho . 1998 . The random subspace method for constructing decision forests . IEEE Transactions on Pattern Analysis and Machine Intelligence 20 , 8 (Aug. 1998), 832--844. DOI:https:\/\/doi.org\/10.1109\/34.709601 Tin Kam Ho. 1998. The random subspace method for constructing decision forests. IEEE Transactions on Pattern Analysis and Machine Intelligence 20, 8 (Aug. 1998), 832--844. DOI:https:\/\/doi.org\/10.1109\/34.709601","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_2_1_89_1","doi-asserted-by":"publisher","DOI":"10.1080\/01431160410001709976"},{"key":"e_1_2_1_90_1","doi-asserted-by":"publisher","DOI":"10.1080\/01431160701442096"},{"key":"e_1_2_1_91_1","unstructured":"UNISDR. 2015. Sendai framework for disaster risk reduction 2015--2030. (2015).  UNISDR. 2015. Sendai framework for disaster risk reduction 2015--2030. (2015)."},{"key":"e_1_2_1_92_1","doi-asserted-by":"crossref","unstructured":"Anand Vetrivel Markus Gerke Norman Kerle Francesco Nex and George Vosselman. 2018. Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images and multiple-kernel-learning. ISPRS J. Photogramm. Remote Sens 140 (June 2018) 45--59.  Anand Vetrivel Markus Gerke Norman Kerle Francesco Nex and George Vosselman. 2018. Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images and multiple-kernel-learning. ISPRS J. Photogramm. Remote Sens 140 (June 2018) 45--59.","DOI":"10.1016\/j.isprsjprs.2017.03.001"},{"key":"e_1_2_1_93_1","volume-title":"Twitpic-ing the riots: Analysing images shared on Twitter during the 2011 UK riots","author":"Vis Farida","unstructured":"Farida Vis , Simon Faulkner , Katy Parry , Yana Manyukhina , and Lisa Evans . 2013. Twitpic-ing the riots: Analysing images shared on Twitter during the 2011 UK riots . In Twitter and Society, K. Weller, A. Bruns, J. Burgess, M. Mahrt, and C. Puschmann (Eds.). Vol. 89 . New York:Peter Lang , 385--398. http:\/\/eprints.whiterose.ac.uk\/79098\/. Farida Vis, Simon Faulkner, Katy Parry, Yana Manyukhina, and Lisa Evans. 2013. Twitpic-ing the riots: Analysing images shared on Twitter during the 2011 UK riots. In Twitter and Society, K. Weller, A. Bruns, J. Burgess, M. Mahrt, and C. Puschmann (Eds.). Vol. 89. New York:Peter Lang, 385--398. http:\/\/eprints.whiterose.ac.uk\/79098\/."},{"key":"e_1_2_1_94_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_39"},{"key":"e_1_2_1_95_1","doi-asserted-by":"publisher","DOI":"10.1145\/2396761.2398732"},{"key":"e_1_2_1_96_1","unstructured":"Jason Yosinski Jeff Clune Yoshua Bengio and Hod Lipson. 2014. How transferable are features in deep neural networks? In NIPS. 3320--3328.  Jason Yosinski Jeff Clune Yoshua Bengio and Hod Lipson. 2014. How transferable are features in deep neural networks? In NIPS. 3320--3328."},{"key":"e_1_2_1_97_1","volume-title":"Proceedings of the 13th European Conference Computer Vision (ECCV). 818--833","author":"Matthew","unstructured":"Matthew D. Zeiler and Rob Fergus. 2014. Visualizing and understanding convolutional networks . In Proceedings of the 13th European Conference Computer Vision (ECCV). 818--833 . DOI:https:\/\/doi.org\/10.1007\/978-3-319-10590-1_53 Matthew D. Zeiler and Rob Fergus. 2014. Visualizing and understanding convolutional networks. In Proceedings of the 13th European Conference Computer Vision (ECCV). 818--833. DOI:https:\/\/doi.org\/10.1007\/978-3-319-10590-1_53"},{"key":"e_1_2_1_98_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.08.020"},{"key":"e_1_2_1_99_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2723009"},{"key":"e_1_2_1_100_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 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