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- W4386603786 abstract "Cultural sites tend to revive themselves through digitization and try to keep pace with modern technology in order to meet the growing needs of the public. In fact, different cultural sites have taken up their traditional methods of cultural visits with the aim of not only enhancing the value of the heritage but also promoting visits that are more in line with the expectations of a society that is constantly changing. Mixed reality is likely to be the most promising of all immersive technologies. It can aid and assist cultural sites in accomplishing their mission of enhancing visitor experiences and bridging the divide between visitors and cultural sites. In recent years, Augmented Reality (AR) has revived the interpretation of a variety of fields by providing immersive experiences in both the digital and real worlds. According to the literature, all previous work has focused on smartphone applications that recognize artifacts on the Museum Experience Scale and their non-existent works that use augmented reality to recognize artifacts on cultural sites such as mosaics, pyramids, buildings, monuments, and landscapes. Motivated by this observation, we propose in this paper a solution based on an augmented reality-based smartphone application that recognizes artifacts on archaeological sites in real time and provides visitors with supporting multimedia information. To enhance our solution, we adopt deep convolution neural networks (DCNNs) to recognize things in real time and provide visitors with additional multimedia information. To assess our proposed approach’s reliability, we make a comparison with guided and unguided visits to the archaeological site, all while relying on a visitor-centered questionnaire. The study’s findings are discussed and evaluated in detail using statistical methods in order to highlight their significance." @default.
- W4386603786 created "2023-09-12" @default.
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- W4386603786 date "2023-09-08" @default.
- W4386603786 modified "2023-09-29" @default.
- W4386603786 title "Augmented Reality Coupled with Deep Convolution Neural Networks to Enhance Archaeological Sites Experience" @default.
- W4386603786 doi "https://doi.org/10.3233/faia230227" @default.
- W4386603786 hasPublicationYear "2023" @default.
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