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A. Mallik S. Chaudhury V. Chandru S. SrinivasanComputer Vision Computer Vision Cutting edge technology Cutting tools Digital heritage Digital heritage Digital image storage Historic preservation Institutes of technologies Intangible cultural heritages Knowledge based systems Multimedia access Science and Technology Semantic Multimedia Access Semantics Technological advances Three dimensional computer graphics Virtual Walk
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Mallik, A., Chaudhury, S., Chandru, V., & Srinivasan, S. Digital hampi: Preserving indian cultural heritage. Springer Singapore. https://doi.org/10.1007/978-981-10-5738-0
A. Mallik S. Chaudhury V. Chandru S. SrinivasanComputer Vision Computer Vision Cutting edge technology Cutting tools Digital heritage Digital heritage Digital image storage Historic preservation Institutes of technologies Intangible cultural heritages Knowledge based systems Multimedia access Science and Technology Semantic Multimedia Access Semantics Technological advances Three dimensional computer graphics Virtual Walk
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Fan, H., & Zhang, X. Digital Protection and Inheritance of Intangible Cultural Heritage using Progressive Conditional Generative Adversarial Network with Vision Transformer. Presentado en. https://doi.org/10.1109/ICDSIS65355.2025.11071120
Hanwen Fan Xiaomeng ZhangAdversarial networks Chinese paper cutting Computer Vision Cutting Cutting patterns Digital protection Historic preservation Intangible cultural heritages Mean square error Optimization algorithms Paper cutting Progressive conditional generative adversarial network Realistic sample Vision transformer
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Zeyu, Z., Hao, W., Xiaoqin, Z., Fao, T., & Qiutong, R. (2022). Classification Model for Chinese Traditional Embroidery Based on Xception-TD. Data Analysis And Knowledge Discovery, 6, 338-347. https://doi.org/10.11925/infotech.2096-3467.2021.0909
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Dimitropoulos, K., Manitsaris, S., Tsalakanidou, F., Nikolopoulos, S., Denby, B., Al Kork, S., et al. (2014). Capturing the intangible: An introduction to the i-treasures project. 2, 773-781. Lisbon: Springer Verlag. https://doi.org/10.1007/978-3-319-13695-0
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Partarakis, N., Zabulis, X., Chatziantoniou, A., Patsiouras, N., & Adami, I. (2020). An Approach to the Creation and Presentation of Reference Gesture Datasets, for the Preservation of Traditional Crafts. Applied Sciences, 10, 1-17. https://doi.org/10.3390/app10207325 (Original work published oct)
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Pozzi, F., Antonaci, A., Dagnino, F. M., Ott, M., & Tavella, M. (2014). A Participatory Approach to Define User Requirements of a Platform for Intangible Cultural Heritage Education. 2, 782-788. Lisbon: SciTePress. https://doi.org/10.5220/0004873507820788
Francesca Pozzi Alessandra Antonaci Francesca Dagnino Michela Ott Mauro TavellaCollaboration Computer Vision Cutting tools Intangible cultural heritage Intangible cultural heritages Interdisciplinarity Participatory Design Approach Participatory design Surveys System requirements Teaching Technology transfer User and System Requirements
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Wang, Y., & Fu, R. (2020). A Methodological Reflection: Deconstructing Cultural Elements for Enhancing Cross-Cultural Appreciation of Chinese Intangible Cultural Heritage (Vol. 12215 LNCS). En (Vol. 12215 LNCS). Springer. https://doi.org/10.1007/978-3-030-50267-6_32
Y. Wang R. FuAdversarial networks Algorithm model Artificial intelligence Bamboo Bamboo weaving patterns Blue calico Case-studies Chinese people Co-design Computer graphics Computer image processing Computer science Computer Vision Computers Cotton fabrics Deep learning Design ethnography Digital cultural heritage Employment Evaluation metrics Experience-centred design (ECD) Generative adversarial networks Hci researches Human computer interaction Human computer interaction (HCI) Image generations Image processing Intangible Cultural Heritage Protection Intangible cultural heritage regeneration Intangible cultural heritages Jiangxi Province Learning systems machine learning New approaches Pattern designs Practical method Printed patterns Printing and dyeing Research through design (RtD) Stress intensity factors Traditional Chinese painting User satisfaction Weaving patterns
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