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HeritageGO (HeGO): A Social Media Based Project for Cultural Heritage Valorization

Published: 06 June 2019 Publication History

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.

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Cited By

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  • (2021)Mo.Se.: Mosaic image segmentation based on deep cascading learningVirtual Archaeology Review10.4995/var.2021.1417912:24(25)Online publication date: 19-Jan-2021
  • (2021)Introducing Privacy Preservation in Personalized Cultural Heritage ApplicationsAdjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450614.3463388(194-198)Online publication date: 21-Jun-2021
  • (2021)HeGO, a Social Game as a Tool for Cultural Heritage ValorizationJournal on Computing and Cultural Heritage 10.1145/343192614:2(1-16)Online publication date: 29-May-2021
  • Show More Cited By

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cover image ACM Conferences
UMAP'19 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization
June 2019
455 pages
ISBN:9781450367110
DOI:10.1145/3314183
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 06 June 2019

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Author Tags

  1. 3d models
  2. cultural heritage
  3. photogrammetry
  4. social games

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UMAP'19 Adjunct Paper Acceptance Rate 30 of 122 submissions, 25%;
Overall Acceptance Rate 162 of 633 submissions, 26%

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Cited By

View all
  • (2021)Mo.Se.: Mosaic image segmentation based on deep cascading learningVirtual Archaeology Review10.4995/var.2021.1417912:24(25)Online publication date: 19-Jan-2021
  • (2021)Introducing Privacy Preservation in Personalized Cultural Heritage ApplicationsAdjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450614.3463388(194-198)Online publication date: 21-Jun-2021
  • (2021)HeGO, a Social Game as a Tool for Cultural Heritage ValorizationJournal on Computing and Cultural Heritage 10.1145/343192614:2(1-16)Online publication date: 29-May-2021
  • (2020)A Visual Attentive Model for Discovering Patterns in Eye-Tracking Data—A Proposal in Cultural HeritageSensors10.3390/s2007210120:7(2101)Online publication date: 8-Apr-2020
  • (2020)Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage DomainBig Data and Cognitive Computing10.3390/bdcc40200074:2(7)Online publication date: 23-Apr-2020

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