{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T13:42:48Z","timestamp":1762522968239,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031783043"},{"type":"electronic","value":"9783031783050"}],"license":[{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-78305-0_2","type":"book-chapter","created":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T10:13:29Z","timestamp":1733220809000},"page":"15-30","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Unsupervised Metric Learning for Expressing Color and Shape Information to Uncover Abstract Connections within Image Datasets"],"prefix":"10.1007","author":[{"given":"Shun","family":"Obikane","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haruna","family":"Tagawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshimitsu","family":"Aoki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,4]]},"reference":[{"doi-asserted-by":"publisher","unstructured":"Benitez-Garcia, G., Shimoda, W., Yanai, K.: Style image retrieval for improving material translation using neural style transfer. In: Proceedings of the 2020 Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia. pp.\u00a01\u20136 (2020). https:\/\/doi.org\/10.1145\/3379173.3393707","key":"2_CR1","DOI":"10.1145\/3379173.3393707"},{"unstructured":"Cao, X., Chen, B.C., Lim, S.N.: Unsupervised deep metric learning via auxiliary rotation loss. arXiv preprint arXiv:1911.07072 (2019)","key":"2_CR2"},{"doi-asserted-by":"crossref","unstructured":"Caron, M., Bojanowski, P., Joulin, A., Douze, M.: Deep clustering for unsupervised learning of visual features. In: European Conference on Computer Vision (2018)","key":"2_CR3","DOI":"10.1007\/978-3-030-01264-9_9"},{"doi-asserted-by":"crossref","unstructured":"Chen, W., Liu, Y., Wang, W., Bakker, E.M., Georgiou, T., Fieguth, P., Liu, L., Lew, M.S.: Deep learning for instance retrieval: A survey. IEEE Transactions on Pattern Analysis; Machine Intelligence 45(06), 7270\u20137292 (2023)","key":"2_CR4","DOI":"10.1109\/TPAMI.2022.3218591"},{"doi-asserted-by":"crossref","unstructured":"Deng, H., Han, C., Cai, H., Han, G., He, S.: Spatially-invariant style-codes controlled makeup transfer. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 6549\u20136557 (June 2021)","key":"2_CR5","DOI":"10.1109\/CVPR46437.2021.00648"},{"doi-asserted-by":"crossref","unstructured":"Deng, J., Guo, J., Xue, N., Zafeiriou, S.: Arcface: Additive angular margin loss for deep face recognition. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 4685\u20134694 (2019)","key":"2_CR6","DOI":"10.1109\/CVPR.2019.00482"},{"unstructured":"G., R.C., W., R.E.: Digital Image Processing. Pearson\/Prentice Hall, 4th edn. (2017)","key":"2_CR7"},{"doi-asserted-by":"crossref","unstructured":"Hadsell, R., Chopra, S., LeCun, Y.: Dimensionality reduction by learning an invariant mapping. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201906). vol.\u00a02, pp. 1735\u20131742 (2006)","key":"2_CR8","DOI":"10.1109\/CVPR.2006.100"},{"doi-asserted-by":"crossref","unstructured":"Jain, A.K., Vailaya, A.: Image retrieval using color and shape. In: Pattern recognition, 29(8). pp. 1233\u20131244 (1996)","key":"2_CR9","DOI":"10.1016\/0031-3203(95)00160-3"},{"doi-asserted-by":"crossref","unstructured":"Jiang, W., Liu, S., Gao, C., Cao, J., He, R., Feng, J., Yan, S.: Psgan: Pose and expression robust spatial-aware gan for customizable makeup transfer. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2020)","key":"2_CR10","DOI":"10.1109\/CVPR42600.2020.00524"},{"doi-asserted-by":"crossref","unstructured":"Li, T., Qian, R., Dong, C., Liu, S., Yan, Q., Zhu, W., Lin, L.: Beautygan: Instance-level facial makeup transfer with deep generative adversarial network. In: Proceedings of the 26th ACM international conference on Multimedia. pp. 645\u2013653 (October 2018)","key":"2_CR11","DOI":"10.1145\/3240508.3240618"},{"doi-asserted-by":"crossref","unstructured":"Li, Y., Kan, S., He, Z.: Unsupervised deep metric learning with transformed attention consistency and contrastive clustering loss. In: European Conference on Computer Vision (2020)","key":"2_CR12","DOI":"10.1007\/978-3-030-58621-8_9"},{"doi-asserted-by":"crossref","unstructured":"Liu, W., Wen, Y., Yu, Z., Li, M., Raj, B., Song, L.: Sphereface: Deep hypersphere embedding for face recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 212\u2013220 (2017)","key":"2_CR13","DOI":"10.1109\/CVPR.2017.713"},{"doi-asserted-by":"crossref","unstructured":"Masi, I., Wu, Y., Hassner, T., Natarajan, P.: Deep face recognition: A survey. In: 2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI). pp. 471\u2013478 (2018)","key":"2_CR14","DOI":"10.1109\/SIBGRAPI.2018.00067"},{"doi-asserted-by":"crossref","unstructured":"Matsuo, S., Yanai, K.: Cnn-based style vector for style image retrieval. In Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval pp. 309\u2013312 (2016)","key":"2_CR15","DOI":"10.1145\/2911996.2912057"},{"doi-asserted-by":"publisher","unstructured":"Park, S., Shin, M., Ham, S., Choe, S., Kang, Y.: Study on fashion image retrieval methods for efficient fashion visual search. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). pp. 316\u2013319 (2019). https:\/\/doi.org\/10.1109\/CVPRW.2019.00042","key":"2_CR16","DOI":"10.1109\/CVPRW.2019.00042"},{"unstructured":"Ranjan, R., Castillo, C.D., Chellappa, R.: L2-constrained softmax loss for discriminative face verification. arXiv preprint arXiv:1703.09507 (2017)","key":"2_CR17"},{"unstructured":"Simonyan, K., Z., A.: Very deep convolutional networks for large-scale image recognition. arXiv arXiv:1409.1556 (2014)","key":"2_CR18"},{"unstructured":"Tian, Y., Clanuwat, T., Suzuki, C., Kitamoto, A.: Ukiyo-e analysis and creativity with attribute and geometry annotation. In: Proceedings of the International Conference on Computational Creativity (2021)","key":"2_CR19"},{"unstructured":"Ulyanov, D., V., A., L., V.: Instance normalization: The missing ingredient for fast stylization. arXiv arXiv:1607.08022 (2016)","key":"2_CR20"},{"key":"2_CR21","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","volume":"17","author":"U Von Luxburg","year":"2007","unstructured":"Von Luxburg, U.: A tutorial on spectral clustering. Stat. Comput. 17, 395\u2013416 (2007)","journal-title":"Stat. Comput."},{"issue":"7","key":"2_CR22","doi-asserted-by":"publisher","first-page":"926","DOI":"10.1109\/LSP.2018.2822810","volume":"25","author":"F Wang","year":"2018","unstructured":"Wang, F., Cheng, J., Liu, W., Liu, H.: Additive margin softmax for face verification. IEEE Signal Process. Lett. 25(7), 926\u2013930 (2018)","journal-title":"IEEE Signal Process. Lett."},{"doi-asserted-by":"crossref","unstructured":"Wang, F., Zuo, W., Lin, L., Zhang, D., Zhang, L.: Joint learning of single-image and cross-image representations for person re-identification. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1288\u20131296 (2016)","key":"2_CR23","DOI":"10.1109\/CVPR.2016.144"},{"doi-asserted-by":"crossref","unstructured":"Wang, H., Wang, Y., Zhou, Z., Ji, X., Gong, D., Zhou, J., Liu, W.: Cosface: Large margin cosine loss for deep face recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 5265\u20135274 (2018)","key":"2_CR24","DOI":"10.1109\/CVPR.2018.00552"},{"doi-asserted-by":"crossref","unstructured":"Wang, J., song, Y., Leung, T., Rosenberg, C., Wang, J., Philbin, J., Chen, B., Wu, Y.: Learning fine-grained image similarity with deep ranking. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (04 2014)","key":"2_CR25","DOI":"10.1109\/CVPR.2014.180"},{"doi-asserted-by":"crossref","unstructured":"Xiang, J., Chen, J., Liu, W., Hou, X., Shen, L.: Ramgan: Region attentive morphing gan for region-level makeup transfer. In: In Computer Vision\u2013ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23\u201327, 2022, Proceedings, Part XXII. pp. 719\u2013735 (2022)","key":"2_CR26","DOI":"10.1007\/978-3-031-20047-2_41"},{"doi-asserted-by":"crossref","unstructured":"Ye, M., Zhang, X., Yuen, P.C., Chang, S.F.: Unsupervised embedding learning via invariant and spreading instance feature. In: IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) (2019)","key":"2_CR27","DOI":"10.1109\/CVPR.2019.00637"},{"doi-asserted-by":"crossref","unstructured":"Yu, B., Liu, T., Gong, M., Ding, C., Tao, D.: Correcting the triplet selection bias for triplet loss. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 71\u201387 (2018)","key":"2_CR28","DOI":"10.1007\/978-3-030-01231-1_5"},{"doi-asserted-by":"crossref","unstructured":"Yue, J., Li, Z., Liu, L., Fu, Z.: Content-based image retrieval using color and texture fused features. In: Mathematical and Computer Modelling. vol.\u00a054, pp. 1121\u20131127 (2011)","key":"2_CR29","DOI":"10.1016\/j.mcm.2010.11.044"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78305-0_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T11:08:46Z","timestamp":1733224126000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78305-0_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,4]]},"ISBN":["9783031783043","9783031783050"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78305-0_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,12,4]]},"assertion":[{"value":"4 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}