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SikuGPT: A Generative Pre-trained Model for Intelligent Information Processing of Ancient Texts from the Perspective of Digital Humanities
- Chang Liu,
- Dongbo Wang,
- Zhixiao Zhao,
- Die Hu,
- Mengcheng Wu,
- Litao Lin,
- Jiangfeng Liu,
- Hai Zhang,
- Si Shen,
- Bin Li,
- Lianzhen Zhao
The rapid development of generative artificial intelligence has brought significant opportunities for the advancement of digital humanities research. Intelligent processing of ancient texts, as an essential part of digital humanities, is also undergoing a ...
Efficient and User-Friendly Visualization of Neural Relightable Images for Cultural Heritage Applications
- Leonardo Righetto,
- Mohammad Khademizadeh,
- Andrea Giachetti,
- Federico Ponchio,
- Davit Gigilashvili,
- Fabio Bettio,
- Enrico Gobbetti
We introduce an innovative multi-resolution framework for encoding and interactively visualizing large relightable images using a neural reflectance model derived from a state-of-the-art technique. The framework is seamlessly integrated into a scalable ...
Repetitive Patterns Recognition in Textures of Ancient Peruvian Pottery
We present a study and comparison of computer vision methods for the task of finding repetitive motifs in ancient Peruvian pottery. Under this context, the main difficulties for solving the task are that the motifs are in most cases highly repetitive, ...
Using TLS, UAV, and MR Methodologies for 3D Modelling and Historical Recreation of Religious Heritage Monuments
Preserving and safeguarding the Cultural Heritage (CH) of our world from unforeseen hazards should be viewed as a collective responsibility for humanity. Consequently, there is a growing imperative for targeted measures aimed at conserving, restoring, and ...
How Can Generative Artificial Intelligence Techniques Facilitate Intelligent Research into Ancient Books?
Generative AI changes the paradigm of natural language processing research, sets off a new trend of research in computational humanities and computational social sciences, and provides unique perspectives on digital intelligence-enabled ancient book ...
Object Detection in Historical Images: Transfer Learning and Pseudo Labelling
The automatic analysis of images in the historical sciences often requires the identification of objects. Object identification is a well-researched problem for modern photographs; however, for historical material, annotations are often necessary. We ...
Emergency Documentation and Virtual Model of a Rock Art Palimpsest from Garowe, Nugaal Region, Somalia
- Gianluca Frinchillucci,
- Eugenio Bortolini,
- Stefano Biagetti,
- Alberto Urcia,
- Alessia Brucato,
- Sonkor Geyre,
- Ali Abdullah Warsame,
- Federico Prizzi,
- Francesco Spigonardi,
- Thomas Conci,
- Luca Natali,
- Marco Madella
Puntland is a critically relevant and yet virtually unexplored region for the past of Eastern Africa. Here we present a newly documented cave with multi-layered rock art found surveying Nugaal region, Somalia, in the framework of an international project ...
Exploring Thematic Diversity in Classical Chinese Poetry: A Novel Dataset and a BERT-enhanced Ensemble Learning Approach
Classical Chinese poetry, as an essential aspect of cultural heritage, exhibits rich theme diversity often overlooked in natural language processing research. To address this gap, we aim to explore the classification of thematic categories within this ...
Poses of People in Art: A Dataset for Human Pose Estimation in Digital Art History
With the Poses of People in Art dataset, we introduce the first openly licensed dataset for estimating human poses in art and validating human pose estimators. It consists of 2,454 images from 22 art-historical depiction styles, including those that have ...
Exploring the Impact of an IoT-based Game on the Experience of Visitors at a Natural Science Museum
- Fabrizio Balducci,
- Paolo Buono,
- Giuseppe Desolda,
- Rosa Lanzilotti,
- Antonio Piccinno,
- Maria Francesca Costabile
The use of Internet of Things (IoT) technology to improve access to cultural heritage sites and enhance visitor engagement has become increasingly popular. Nevertheless, there is a lack of studies evaluating the actual benefits of such technology on ...
Digitising the Deep Past: Machine Learning for Rock Art Motif Classification in an Educational Citizen Science Application
Digitising the Deep Past (DDP) is an interdisciplinary project based at Griffith University, Australia, that innovates in three areas: Indigenous cultural heritage, Indigenous education, and Machine Learning (ML) and Artificial Intelligence (AI). The ...
Augmented Reality Book Design for Teaching and Learning Architectural Heritage: Educational Heritage in Hong Kong Central and Western District
The teaching and learning of architectural heritage can play a vital role in engaging students in envisioning the past and nurturing their cultural identity. However, this endeavour often faces challenges stemming from limited access to heritage sites and ...
HeritageSite AR: Design and Evaluation of a Mobile Augmented Reality Exploration Game for a Chinese Heritage Site
This article explores the use of a mobile Augmented Reality (AR) exploration game to enhance immersive storytelling and enrich cultural experiences. Specifically, we present the prototype design and evaluation of HeritageSite AR, an AR exploration game ...
Virtual Empathy: Usability and Immersivity of a VR System for Enhancing Social Cohesion through Cultural Heritage
In this article we describe and evaluate a VR application, designed with a novel approach that allows personalized interaction and a more immersive virtual experience. This VR system uses both a user-based methodology in which the user expresses his/her ...
The BiographScope: Exploring Early Cinema in an Immersive Environment
This paper presents a new interactive installation, the BiographScope, meant to immerse visitors in an archival collection of early silent films from the turn of the twentieth century. It further investigates certain important aspects through a pilot ...
Integrating Citizen Experiences in Cultural Heritage Archives with a Linked Non-Open Data Hub
- Jason Carvalho,
- Enrico Daga,
- Paul Mulholland,
- Luigi Asprino,
- Chukwudi Uwasomba,
- Marilena Daquino,
- Aldo Gangemi,
- Mark Maguire,
- Adam Stoneman
This article explores and presents innovative methods and technologies for supporting citizen curation of cultural heritage. Relevant outcomes of the Social Participation, Cohesion and Inclusion through Cultural Engagement (SPICE) project are presented, ...
An Ontology Network for Citizen Curation
- Luigi Asprino,
- Rossana Damiano,
- Marilena Daquino,
- Stefano De Giorgis,
- Aldo Gangemi,
- Antonio Lieto,
- Bruno Sartini,
- Manuel Striani
Citizen curation is gaining momentum as a new form of engagement with cultural heritage. Citizen curatorial activities require and produce a wealth of information, ranging from descriptions of the artefacts to visitor experience feedback. Although ...
Multivocal Exhibition: Exploring Cultural Perspectives through User-Curated Art Exhibitions
Recently, cultural institutions have seen a rise in citizen curation projects, where people actively engage in curating and interpreting cultural artifacts. Citizen curation involves using collective knowledge and shared interests to create rich ...
Interpretable Clusters for Representing Citizens’ Sense of Belonging through Interaction with Cultural Heritage
- Guillermo Jiménez-Díaz,
- Belen Diaz-Agudo,
- Luis Emilio Bruni,
- Nele Kadastik,
- Anna Follo,
- Rossana Damiano,
- Manuel Striani,
- Angel Sanchez-Martin,
- Antonio Lieto
The EU H2020 project social cohesion, participation, and inclusion through cultural engagement (SPICE) focuses on developing, designing, and implementing new methods and digital tools for citizen curation. This article delineates several software tools ...