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      Saving Cultural Heritage with Digital Make-Believe: Machine Learning and Digital Techniques to the Rescue

      Published
      proceedings-article
      1 , 2 , 1 , 1
      Electronic Visualisation and the Arts (EVA 2017) (EVA)
      Electronic Visualisation and the Arts
      11 – 13 July 2017
      Semantic Archive, Image Retrieval, Cultural Heritage, Data Mining, Deep Learning
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            Abstract

            Content

            Author and article information

            Contributors
            Conference
            July 2017
            July 2017
            : 1-5
            Affiliations
            [ 1 ]Faculty of Computer Science, University of Sunderland, Sunderland, SR1 3SD, UK
            [ 2 ]Physics Department, Faculty of Science at Qena, South Valley University, 83523, Egypt
            Article
            10.14236/ewic/HCI2017.97
            ca02feae-6dfc-4b26-8f73-9f80b52f3169
            © Yasser et al. Published by BCS Learning and Development. Proceedings of British HCI 2017 – Digital Make-Believe, Sunderland, UK.

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Electronic Visualisation and the Arts (EVA 2017)
            EVA
            London, UK
            11 – 13 July 2017
            Electronic Workshops in Computing (eWiC)
            Electronic Visualisation and the Arts
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2017.97
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Semantic Archive,Data Mining,Image Retrieval,Deep Learning,Cultural Heritage

            reference

            1. [1] 2010 A definition of cultural heritage: From the tangible to the intangible Journal of Cultural Heritage 11 3 321 324

            2. [2] 2007 Cultural heritage and human rights Cultural heritage and human rights 3 29 Springer New York

            3. [3] 2016 Cultural heritage and the challenge of sustainability Routledge

            4. [4] 2016 Applying Deep Learning Techniques to Cultural Heritage Images Within the INCEPTION Project et al Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection EuroMed 2016 Lecture Notes in Computer Science 10059 Springer, Cham.

            5. [5] 2017 Integrated Data Capturing Requirements For 3d Semantic Modelling of Cultural Heritage: The Inception Protocol, Int Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W3 251 257 doi:10.5194/isprs-archives-XLII-2-W3-251-2017.

            6. [6] 2016 Refining Architectures of Deep Convolutional Neural Networks Conference on Computer Vision and Pattern Recognition.

            7. [7] SCA http://www.sca-egypt.org/eng/main.htm 12/5/2017

            8. [8] Visual Categorization with Bags of Keypoints Workshop on Statistical Learning in Computer Vision. ECCV 1 1-22 12

            9. [9] et al "Imagenet: A large-scale hierarchical image database." Computer Vision and Pattern Recognition, 2009 CVPR 2009 IEEE Conference on. IEEE 2009

            10. [10] "Imagenet classification with deep convolutional neural networks." Advances in neural information processing systems 2012

            11. [11] Cloud Vision API https://cloud.google.com/vision/

            12. [12] others 2015 Keras https://github.com/fchollet/keras GitHub

            13. [13] 2016 Model-Free Episodic Control

            14. [14] 2017 Mode Free Episodic Control

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