{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T03:05:23Z","timestamp":1761102323446,"version":"3.37.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319773827"},{"type":"electronic","value":"9783319773834"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-77383-4_8","type":"book-chapter","created":{"date-parts":[[2018,5,9]],"date-time":"2018-05-09T13:02:26Z","timestamp":1525870946000},"page":"79-88","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Fine-Art Painting Classification via Two-Channel Deep Residual Network"],"prefix":"10.1007","author":[{"given":"Xingsheng","family":"Huang","sequence":"first","affiliation":[]},{"given":"Sheng-hua","family":"Zhong","sequence":"additional","affiliation":[]},{"given":"Zhijiao","family":"Xiao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,5,10]]},"reference":[{"key":"8_CR1","doi-asserted-by":"crossref","unstructured":"Polatkan, G., Jafarpour, S., Brasoveanu, A., Hughes, S., Daubechies, I.: Detection of forgery in paintings using supervised learning. In: IEEE International Conference on Image Processing (ICIP), pp. 2921\u20132924 (2009)","DOI":"10.1109\/ICIP.2009.5413338"},{"key":"8_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1007\/978-3-319-16178-5_4","volume-title":"Computer Vision - ECCV 2014 Workshops","author":"EJ Crowley","year":"2015","unstructured":"Crowley, E.J., Zisserman, A.: In search of art. In: Agapito, L., Bronstein, M.M., Rother, C. (eds.) ECCV 2014. LNCS, vol. 8925, pp. 54\u201370. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16178-5_4"},{"key":"8_CR3","doi-asserted-by":"crossref","unstructured":"Crowley, E., Zisserman, A.: The state of the art: object retrieval in paintings using discriminative regions. In: British Machine Vision Conference (BMVC) (2014)","DOI":"10.5244\/C.28.38"},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Mensink, T., Van Gemert, J.: The rijksmuseum challenge: museum centered visual recognition. In: Proceedings of International Conference on Multimedia Retrieval (ICMR), p. 451 (2014)","DOI":"10.1145\/2578726.2578791"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Gatys, L.A., Ecker A.S., Bethge, M.: A neural algorithm of artistic style. arXiv preprint arXiv:1508.06576 (2015)","DOI":"10.1167\/16.12.326"},{"key":"8_CR6","unstructured":"Krizhevsky, A., Hinton, G.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems (NIPS), pp. 1097\u20131105 (2012)"},{"key":"8_CR7","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: Advances in Neural Information Processing Systems (NIPS), pp. 91\u201399 (2015)"},{"issue":"6","key":"8_CR8","doi-asserted-by":"publisher","first-page":"1385","DOI":"10.1007\/s00138-014-0621-6","volume":"25","author":"FS Khan","year":"2014","unstructured":"Khan, F.S., Beigpour, S., Van-De-Weijer, J., Felsberg, M.: Painting-91: a large scale database for computational painting categorization. Mach. Vis. Appl. 25(6), 1385\u20131397 (2014)","journal-title":"Mach. Vis. Appl."},{"issue":"4","key":"8_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2957754","volume":"12","author":"Sheng-Hua Zhong","year":"2016","unstructured":"Zhong, S., Liu, Y., Hua, K.: Field effect deep networks for image recognition with incomplete data. ACM Trans. Multimedia Comput. Commun. Appl. (TOMM) 12(4), 52 (2016)","journal-title":"ACM Transactions on Multimedia Computing, Communications, and Applications"},{"key":"8_CR10","doi-asserted-by":"crossref","unstructured":"Zhong, S., Liu, Y., Li, B., Long, J.: Query-oriented unsupervised multi-document summarization via deep learning. Expert Syst. Appl. (ESWA) 42(21), 8146\u20138155 (2015)","DOI":"10.1016\/j.eswa.2015.05.034"},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"Zhong, S., Liu, Y., Liu, Y.: Bilinear deep learning for image classification. In: Proceedings of 19th ACM International Conference on Multimedia (ACMMM) (2011)","DOI":"10.1145\/2072298.2072505"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Oquab, M., Bottou, L., Laptev, I., Sivic, J.: Learning and transferring mid-level image representations using convolutional neural networks. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2014)","DOI":"10.1109\/CVPR.2014.222"},{"key":"8_CR13","doi-asserted-by":"crossref","unstructured":"Lee, S.H., Chan, C.S., Wilkin, P., Remagnino, P.: Deep-plant: plant identification with convolutional neural networks. In: IEEE International Conference on Image Processing (ICIP), pp. 452\u2013456 (2015)","DOI":"10.1109\/ICIP.2015.7350839"},{"key":"8_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1007\/978-3-319-10578-9_23","volume-title":"Computer Vision \u2013 ECCV 2014","author":"K He","year":"2014","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Spatial pyramid pooling in deep convolutional networks for visual recognition. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8691, pp. 346\u2013361. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10578-9_23"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Hentschel, C., Wiradarma, T.P., Sack, H.: Fine tuning CNNs with scarce training data-adapting ImageNet to art epoch classification. In: IEEE International Conference on Image Processing (ICIP) (2016)","DOI":"10.1109\/ICIP.2016.7533049"},{"key":"8_CR16","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"8_CR17","doi-asserted-by":"crossref","unstructured":"Zheng, M., Zhong, S., Wu, S., Jiang, J.: Steganographer detection via deep residual network. In: Proceedings of the IEEE International Conference on Multimedia and Expo (ICME) (2017)","DOI":"10.1109\/ICME.2017.8019320"},{"key":"8_CR18","doi-asserted-by":"crossref","unstructured":"Wu, S., Zhong, S., Liu, Y.: Deep residual learning for image steganalysis. In: Multimedia Tools and Applications (MTAP) (2017)","DOI":"10.1007\/s11042-017-4440-4"},{"key":"8_CR19","unstructured":"Li, L.: The relationship between the brush strokes and the image, the color, the emotion. J. Yangtze Univ. (Socia1 Sciences), 34(9), 181\u2013182 (2011)"},{"key":"8_CR20","unstructured":"Saleh, B., Elgammal, A.: Large-scale classification of fine-art paintings: learning the right metric on the right feature. arXiv preprint arXiv:1505.00855 (2015)"},{"key":"8_CR21","doi-asserted-by":"crossref","unstructured":"Tan, W.R., Chan, C.S., Aguirre, H.E., Tanaka, K.: Ceci n\u2019est pas une pipe: a deep convolutional network for fine-art paintings classification. In: IEEE International Conference on Image Processing (ICIP) (2016)","DOI":"10.1109\/ICIP.2016.7533051"},{"key":"8_CR22","doi-asserted-by":"crossref","unstructured":"Peng, K.C., Chen, T.: Cross-layer features in convolutional neural networks for generic classification tasks. In: IEEE International Conference on Image Processing (ICIP) (2015)","DOI":"10.1109\/ICIP.2015.7351365"},{"key":"8_CR23","doi-asserted-by":"crossref","unstructured":"Peng, K.C., Chen, T.: A framework of extracting multi-scale features using multiple convolutional neural networks. In: International Conference on Multimedia and Expo (ICME) (2015)","DOI":"10.1109\/ICME.2015.7177449"}],"container-title":["Lecture Notes in Computer Science","Advances in Multimedia Information Processing \u2013 PCM 2017"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-77383-4_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,17]],"date-time":"2019-10-17T16:25:57Z","timestamp":1571329557000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-77383-4_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319773827","9783319773834"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-77383-4_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}