Dagnino, F. M., Pozzi, F., Cozzani, G., & Bernava, L. Using Serious Games for Intangible Cultural Heritage (ICH) Education: A Journey into the Canto a Tenore Singing Style. 5, 429-435. SciTePress. https://doi.org/10.5220/0006347004290435
Francesca Dagnino Francesca Pozzi Giacomo Cozzani Luca BernavaAdventure games Comprehensive integrations Computer graphics Computer Vision Cultural heritage field Game based learning Game-based Learning Innovation Intangible cultural heritage (ICH) Intangible cultural heritages School education Serious games Teaching and learning
Ver
Zhang, X. Skill motion recognition and digital modeling of intangible cultural heritage for smart cities based on computer vision. 13682. https://doi.org/10.1117/12.3073363
Xiwen ZhangComputer Vision Convolution Convolutional networks Convolutional neural networks Cultural preservation Digital modeling Graph Convolutional Network Graphic methods Historic preservation Human pose estimations Image segmentation Intangible cultural heritages Interactive computer graphics Motion estimation Motion recognition Pattern recognition systems Recognition models Simulation platform Skill motion recognition Smart City Urban cultural intelligence Virtual reality
Ver
Wang, J., & Wang, P. Simulation of dance performance analysis with microprocessor and machine vision interaction. 80. https://doi.org/10.1016/j.micpro.2020.103625
Jingjing Wang Pei WangAcceleration rates Classification Computer Vision dance Emotions Artist Express emotions Expression Facial Expressions Facial expression Field programmable gate arrays (FPGA) Intangible cultural heritages Learning algorithms machine learning Performance Performance analysis Performance based SDVM Stage performance Technical difficulties
Ver
Zhao, D., & Pan, C. Research on the Identification of Hand-Painted Thangka and Printed Thangka Based on Computer Vision Processing Method (Vol. 397 LNICST). En (Vol. 397 LNICST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-90199-8_20
D. Zhao C. PanApplication programs Boltzmann Cluster analysis Clustering method Clustering methods Computer Vision Design and implementations Employment Ethnic culture Ethnic groups Ethnic Minorities Hand-painted thangka Intangible cultural heritage Intangible cultural heritages LBP algorithm MVC Machine-printed thangka MySQL database Online sales Palmprint recognition processing Processing method Qinghai Tibet plateau Restricted Boltzmann algorithm Restricted boltzmann algorithm Sales Sales management Textures Tibetans Vision processing
Ver
Dias, S. B., Hadjileontiadis, L. J., & Diniz, J. A. On enhancing blended-learning scenarios through fuzzy logic-based modeling of users LMS quality of interaction: The rare \& contemporary dance paradigms. 2, 765-772. SciTePress. https://doi.org/10.5220/0004861507650772
Sofia Dias Leontios Hadjileontiadis Jose DinizBased modelling Blended Learning Blended learning Computer aided instruction Computer circuits Computer Vision Fuzzy Logic-based Modelling Fuzzy logic i-Treasures LMS Moodle Learning Scenarios Learning scenarios Learning systems Pedagogical planning Quality of Interaction Quality of interaction Rare \& Contemporary Dance
Ver
Yu, X., Zhang, L., & Shen, M. Nantong Blue Calico Image Dataset and Its Recognition. Presentado en. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/CEC55065.2022.9870225
Xiang Yu Li Zhang Mei Shen IEEEBaseline results Benchmark dataset Benchmark datasets Blue calico Classification (of information) Computer Vision Convolutional neural networks Deep learning Image datasets Image recognition Intangible cultural heritage Intangible cultural heritages Large dataset Large-scale datasets Learning systems Nantong Public dataset Public image
Ver
Chantas, G., Nikolopoulos, S., & Kompatsiaris, I. Multi-entity Bayesian Networks for Treasuring the Intangible Cultural Heritage. 2, 796-802. Springer Verlag. https://doi.org/10.1007/978-3-319-13695-0
Giannis Chantas Spiros Nikolopoulos Ioannis KompatsiarisBayesian networks Computer circuits Computer Vision First order logic First-Order Logic Formal logic Intangible cultural heritage Intangible cultural heritages Knowledge modeling Knowledge based systems Knowledge model Knowledge representation Model uncertainties Multi-Entity Bayesian Networks Multi-Entity Bayesian Networks Potential efficiency Probabilistic inference Uncertainty analysis
Ver
Hisatomi, K., Tomiyama, K., Katayama, M., & Iwadate, Y. Method of 3D reconstruction using graph cuts, and its application to preserving intangible cultural heritage. 923-930. https://doi.org/10.1109/ICCVW.2009.5457605
K. Hisatomi K. Tomiyama M. Katayama Y. Iwadate3D models Archive systems Computational methods Computer Vision Content based retrieval Cultural heritages Cut-off Edge detection Erosion process Graph-cut Historic preservation Image reconstruction Multiple cameras Target object Texture image Texture mapping Textures Three dimensional Three dimensional computer graphics Video image View-dependent Volume intersection
Ver
Giannoulakis, S., Tsapatsoulis, N., & Grammalidis, N. Metadata for Intangible Cultural Heritage The Case of Folk Dances. 5, 634-645. SciTePress. https://doi.org/10.5220/0006760906340645
Stamatios Giannoulakis Nicolas Tsapatsoulis Nikos GrammalidisAnalog to digital conversion Computer graphics Computer Vision Cultural heritages Digitization FRBR Folk dances Intangible cultural heritage Intangible cultural heritages International organizations Metadata Metadata schema
Ver
Tilmanne, J., y, N. d A., Astrinaki, M., & Ravet, T. Exploration of a Stylistic Motion Space Through Realtime Synthesis. 2, 803-809. SciTePress. https://doi.org/10.5220/0004876008030809
Joelle Tilmanne Nicolas y Maria Astrinaki Thierry RavetComputer Vision Hidden Markov models Hidden Markov models Interactive exploration Motion capture Motion Style Motion capture Motion space Motion styles Proof of concept Real-time synthesis Realtime Synthesis Statistical modelling Virtual character
Ver