Nowadays, many technologies are changing our way of life, including those related to extended reality. One of the most interesting is Augmented Reality (AR). Today, even if this technology seems to be discovered yet, it is widely applied in several contexts, including the fruition and conservation of cultural heritage. Such spread is mainly offered by the new and more powerful mobile devices, allowing museums and art exhibitions to use AR to offer new experiences to visitors. In this paper, we present an augmented reality mobile system based on content-based image analysis techniques and Linked Open Data to improve the user knowledge about cultural heritage. We use different image analysis techniques, and we present several experimental results to show the performance of our system.

An Approach Based on Linked Open Data and Augmented Reality for Cultural Heritage Content-Based Information Retrieval / Rinaldi, A. M.; Russo, C.; Tommasino, C.. - 13376:(2022), pp. 99-112. (Intervento presentato al convegno 22nd International Conference on Computational Science and Its Applications, ICCSA 2022 tenutosi a esp nel 2022) [10.1007/978-3-031-10450-3_8].

An Approach Based on Linked Open Data and Augmented Reality for Cultural Heritage Content-Based Information Retrieval

Rinaldi A. M.;Russo C.;Tommasino C.
2022

Abstract

Nowadays, many technologies are changing our way of life, including those related to extended reality. One of the most interesting is Augmented Reality (AR). Today, even if this technology seems to be discovered yet, it is widely applied in several contexts, including the fruition and conservation of cultural heritage. Such spread is mainly offered by the new and more powerful mobile devices, allowing museums and art exhibitions to use AR to offer new experiences to visitors. In this paper, we present an augmented reality mobile system based on content-based image analysis techniques and Linked Open Data to improve the user knowledge about cultural heritage. We use different image analysis techniques, and we present several experimental results to show the performance of our system.
2022
978-3-031-10449-7
978-3-031-10450-3
An Approach Based on Linked Open Data and Augmented Reality for Cultural Heritage Content-Based Information Retrieval / Rinaldi, A. M.; Russo, C.; Tommasino, C.. - 13376:(2022), pp. 99-112. (Intervento presentato al convegno 22nd International Conference on Computational Science and Its Applications, ICCSA 2022 tenutosi a esp nel 2022) [10.1007/978-3-031-10450-3_8].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/915975
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