Ancient Mural Classification Method Based on Improved AlexNet Network

References

• Abdel-Haliem, M. E., A. A. Sakr, M. F. Ali, M. F. Ghaly, and C. Sohlenkamp. 2013. “Characterization of Streptomyces Isolates Causing Colour Changes of Mural Paintings in Ancient Egyptian Tombs.” Microbiological Research 168: 428–437.
   PubMed Web of Science ®Google Scholar
• Angermueller, C., T. Pärnamaa, L. Parts, and O. Stegle. 2016. “Deep Learning for Computational Biology.” Molecular Systems Biology 12: 878.
   PubMed Web of Science ®Google Scholar
• Bai, C., L. Huang, X. Pan, J. W. Zheng, and S. Y. Chen. 2018. “Optimization of Deep Convolutional Neural Network for Large Scale Image Retrieval.” Neurocomputing 303: 60–67.
   Web of Science ®Google Scholar
• Caldelli, R., R. Becarelli, and I. Amerini. 2017. “Image Origin Classification Based on Social Network Provenance.” IEEE Transactions on Information Forensics and Security 12: 1299–1308.
   Web of Science ®Google Scholar
• Caspari, G., and P. Grespo. 2019. “Convolutional Neural Networks for Archaeological Site Detection - Finding “Princely” Tombs.” Journal of Archaeological Science 110: 104998–104998:9.
   Web of Science ®Google Scholar
• Deng, J., A. Berg, and S. Satheesh. 2012. ILSVRC-2012. http://www.image-net.org/challenges/LSVRC/2012/.
   Google Scholar
• Erickson, B. J., P. Korfiatis, Z. Akkus, T. Kline, and K. Philbrick. 2017. “Toolkits and Libraries for Deep Learning.” Journal of Digital Imaging 30: 400–405.
   PubMed Web of Science ®Google Scholar
• Everingham, M., L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. 2007. The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results. http:// www.pascal-network.org/challenges/VOC/voc2007/workshop/index.html.
   Google Scholar
• Fang, L. Y., C. C. Hou, and Y. Su. 2013. Application Modes of Virtual Restoration and Reconstruction Technology in Protection and Presentation for Cultural Heritage in China. 2013 Digital Heritage International Congress (DigitalHeritage).
   Google Scholar
• Guo, Y., Y. Liu, and A. Oerlemans. 2016. “Deep Learning for Visual Understanding: A Review.” Neurocomputing 187: 27–48.
   Web of Science ®Google Scholar
• Han, X., Y. Zhong, L. Cao, and L. Zhang. 2017. “Pre-Trained AlexNet Architecture with Pyramid Pooling and Supervision for High Spatial Resolution Remote Sensing Image Scene Classification.” Remote Sensing 9: 848.
   Web of Science ®Google Scholar
• Hao, Y. B. 2016. Research and Implementation on Classification Algorithm with People of Ancient Chinese Murals based on Style Characteristics. Master disseration. Tianjin University, Tianjin.
   Google Scholar
• Kang, X. J. 2014. “Conservation of a Silk Robe Excavated From the Loulan Mural Tomb, Xinjiang, China.” Studies in Conservation 59 (S1): S55–S57.
   Web of Science ®Google Scholar
• Khan, S. F., S. Beigpour, J. Weijer, and M. Felsberg. 2014. “Painting-91: a Large Scale Database for Computational Painting Categorization.” Machine Vision and Applications 25: 1385–1397.
   Web of Science ®Google Scholar
• Koenderink, J., and A. J. van Doorn. 1991. “Affine Structure From Motion.” Journal of the Optical Society of America A 8: 377–385.
   PubMedGoogle Scholar
• Krizhevsky, A., I. Sutskever, and G. E. Hinton. 2012. “ImageNet Classification with Deep Convolutional Neural Networks.” Advances in Neural Information Processing 25: 1097–1105.
   Google Scholar
• Kumar, S., A. Tyagi, T. Sahu, P. Shukla, and A. Mittal. 2018. “February. Indian Art Form Recognition Using Convolutional Neural Networks.” Proceeding of 5th International Conference on Signal Processing and Integrated Networks (SPIN) 2018: 800–804.
   Google Scholar
• Lakhani, P., and B. Sundaram. 2017. “Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks.” Radiology 284: 574–582.
   PubMed Web of Science ®Google Scholar
• Lecun, Y., Y. Bengio, and G. Hinton. 2015. “Deep Learning.” Nature 521: 436–444.
   PubMed Web of Science ®Google Scholar
• Li, X. Y., D. M. Lu, and Y. H. Pan. 2000. “Color Restoration and Image Retrieval for Dunhuang Fresco Preservation.” IEEE Multimedia 7: 38–42.
   Web of Science ®Google Scholar
• Li, J. M., H. Zhang, Z. X. Fan, X. He, S. M. He, M. Y. Sun, Y. M. Ma, S. Q. Fang, H. B. Zhang, and B. J. Zhang. 2013. “Investigation of the Renewed Diseases on Murals at Mogao Grottoes.” Heritage Science 1: 31–35.
   Google Scholar
• Li, Q. Q., Q. Zou, D. Ma, Q. Wang, and S. Wang. 2018. “Dating Ancient Paintings of Mogao Grottoes Using Deeply Learnt Visual Codes.” Science China Information Sciences 61: 092105.
   Web of Science ®Google Scholar
• Litjens, G., T. Kooi, B. E. Bejnordi, A. A. A. Setio, F. Ciompi, M. Ghafoorian, J. A. W. M. van der laak, B. van Ginneken, and C. I. Sanchez. 2017. “A Survey on Deep Learning in Medical Image Analysis.” Medical Image Analysis 42: 60–88.
   PubMed Web of Science ®Google Scholar
• Min, S., B. Lee, and S. Yoon. 2017. “Deep Learning in Bioinformatics.” Briefings in Bioinformatics 18: 851–869.
   PubMed Web of Science ®Google Scholar
• Nilsback, M. E., and A. Zisserman. 2006. “A Visual Vocabulary for Flower Classification.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2: 1447–1454.
   Google Scholar
• Rawat, W., and Z. Wang. 2017. “Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review.” Neural Computation 29: 2352–2449.
   PubMed Web of Science ®Google Scholar
• Russakovsky, O., J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, et al. 2015. “ImageNet Large Scale Visual Recognition Challenge.” International Journal of Computer Vision 115: 211–252.
   Web of Science ®Google Scholar
• Shank, J. W., and T. Drescher. 2016. “Breaking the Rules: A new Life for Rescue Public Murals.” Studies in Conservation 61: 203–207.
   Web of Science ®Google Scholar
• Szegedy, C., W. Liu, and Y. Q. Jia. 2015. Going Deeper with Convolutions. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
   Google Scholar
• Tang, D. W., D. M. Lu, D. Q. Xu, and B. Yang. 2014. “Clustered Multiple Instance Learning for Mural Image Classification.” Journal of Image and Graphics 19: 708–715.
   Google Scholar
• Tang, D. W., D. M. Lu, B. Yang, and D. Q. Xu. 2013. “Similarity Metrics Between Mural Images with Constraints of the Overall Structure of Contours.” Journal of Image and Graphics 18: 968–975.
   Google Scholar
• Wang, Q., and D. M. Lu. 2012. “Composition Analysis-Based Relevance Ranking for Ancient Mural.” Journal of Zhejiang University(Engineering Science) 46: 21–30.
   Google Scholar
• Wang, T. J., and W. L. Wang. 2019. “Research on a Thangka Image Classification Method Based on Support Vector Machine.” International Journal of Pattern Recognition and Artificial Intelligence 33: 1954030:1–1954030:15.
   Web of Science ®Google Scholar
• Zhang, F., X. F. Huang, W. Fang, and D. R. Li. 2013. “Non-rigid Registration of Mural Images and Laser Scanning Data Based on the Optimization of the Edges of Interest.” Science China: Information Sciences 56: 1–10.
   Web of Science ®Google Scholar
• Zhang, S. Q., S. L. Zhang, T. J. Huang, and W. Gao. 2018. “Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching.” IEEE Transactions on Multimedia 20: 1576–1590.
   Web of Science ®Google Scholar
• Zhao, Z. Q., P. Zheng, S. T. Xu, and X. D. Wu. 2019. “Object Detection With Deep Learning: A Review.” IEEE Transactions on Neural Networks and Learning Systems 2019: 1–21.
   Web of Science ®Google Scholar
• Zou, Q., Y. Cao, Q. Li, C. Huang, and S. Wang. 2014. “Chronological Classification of Ancient Paintings Using Appearance and Shape Features.” Pattern Recognition Letters 49: 146–154.
   Web of Science ®Google Scholar
• Zou, Q., L. H. Ni, Z. W. Hu, Q. Q. Li, and S. Wang. 2017. “Local Pattern Collocations Using Regional co-Occurrence Factorization.” IEEE Transactions on Multimedia 19: 492–505.
   Web of Science ®Google Scholar