In this digital era, one of the main challenge faced by cultural heritage is digitization. This challenge is particularly hard in countries like Italy, characterized by an extremely high number of Cultural goods. Data acquisition for many of these Cultural Heritage is extremely difficult, because of the complexity of surveys through traditional methodologies. In this paper, we propose a novel approach to the knowledge and data acquisition Cultural Heritage based on social media. The proposed approach, named "HeritageGo" (HeGo), transforms the user as an actor of the procedures for the acquisition of raw data. The paper also describes the first experiments focusing on the metric quality of the models obtained with SfM methodologies from raw data acquired by users.
Heritagego (HeGO). A social media based project for cultural heritage valorization / Fontanella, F.; Molinara, M.; Gallozzi, A.; Cigola, M.; Senatore, L. J.; Florio, R.; Clini, P.; D'Amico, F. C.. - (2019), pp. 377-382. (Intervento presentato al convegno 27th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2019 tenutosi a Larnaca; Cyprus) [10.1145/3314183.3323863].
Heritagego (HeGO). A social media based project for cultural heritage valorization
Senatore L. J.;Florio R.;Clini P.;
2019
Abstract
In this digital era, one of the main challenge faced by cultural heritage is digitization. This challenge is particularly hard in countries like Italy, characterized by an extremely high number of Cultural goods. Data acquisition for many of these Cultural Heritage is extremely difficult, because of the complexity of surveys through traditional methodologies. In this paper, we propose a novel approach to the knowledge and data acquisition Cultural Heritage based on social media. The proposed approach, named "HeritageGo" (HeGo), transforms the user as an actor of the procedures for the acquisition of raw data. The paper also describes the first experiments focusing on the metric quality of the models obtained with SfM methodologies from raw data acquired by users.File | Dimensione | Formato | |
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