{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T18:48:22Z","timestamp":1771613302278,"version":"3.50.1"},"publisher-location":"Cham","reference-count":38,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030863333","type":"print"},{"value":"9783030863340","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-86334-0_42","type":"book-chapter","created":{"date-parts":[[2021,9,3]],"date-time":"2021-09-03T20:16:02Z","timestamp":1630700162000},"page":"642-657","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Towards Book Cover Design via Layout Graphs"],"prefix":"10.1007","author":[{"given":"Wensheng","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taiga","family":"Miyazono","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8592-7566","authenticated-orcid":false,"given":"Seiichi","family":"Uchida","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5146-6818","authenticated-orcid":false,"given":"Brian Kenji","family":"Iwana","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,2]]},"reference":[{"key":"42_CR1","doi-asserted-by":"crossref","unstructured":"Abe, K., Iwana, B.K., Holmer, V.G., Uchida, S.: Font creation using class discriminative deep convolutional generative adversarial networks. In: ACPR (2017)","DOI":"10.1109\/ACPR.2017.99"},{"key":"42_CR2","doi-asserted-by":"crossref","unstructured":"Ashual, O., Wolf, L.: Specifying object attributes and relations in interactive scene generation. In: ICCV (2019)","DOI":"10.1109\/ICCV.2019.00466"},{"key":"42_CR3","doi-asserted-by":"crossref","unstructured":"Atarsaikhan, G., Iwana, B.K., Narusawa, A., Yanai, K., Uchida, S.: Neural font style transfer. In: ICDAR (2017)","DOI":"10.1109\/ICDAR.2017.328"},{"key":"42_CR4","doi-asserted-by":"crossref","unstructured":"Bui, Q.A., Mollard, D., Tabbone, S.: Automatic synthetic document image generation using generative adversarial networks: application in mobile-captured document analysis. In: ICDAR (2019)","DOI":"10.1109\/ICDAR.2019.00070"},{"issue":"4","key":"42_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2601097.2601212","volume":"33","author":"NDF Campbell","year":"2014","unstructured":"Campbell, N.D.F., Kautz, J.: Learning a manifold of fonts. ACM Tran. Graph. 33(4), 1\u201311 (2014)","journal-title":"ACM Tran. Graph."},{"key":"42_CR6","unstructured":"Canva: Canva - the free book cover maker with stunning layouts. https:\/\/www.canva.com\/create\/book-covers\/. Accessed 15 Feb 2021"},{"key":"42_CR7","unstructured":"Deflamel Corp.: deflamel. https:\/\/deflamel.com\/. Accessed 15 Feb 2021"},{"key":"42_CR8","unstructured":"Designhill.com: Designhill - book cover maker. https:\/\/www.designhill.com\/tools\/book-cover-maker. Accessed 15 Feb 2021"},{"key":"42_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/1-56898-633-5","volume-title":"By Its Cover: Modern American Book Cover Design","author":"N Drew","year":"2005","unstructured":"Drew, N., Stemberge, P.: By Its Cover: Modern American Book Cover Design. Princeton Architectural Press, Princeton (2005)"},{"key":"42_CR10","doi-asserted-by":"crossref","unstructured":"EL-Sakran, T., Ankit, A.: Representing academic disciplines on academic book covers. Int. J. Pedagogical Innov. 6(02), 151\u2013163 (2018)","DOI":"10.12785\/ijpi\/060203"},{"key":"42_CR11","unstructured":"Everimaging Limited: fotor - book cover maker. https:\/\/www.fotor.com\/design\/book-cover. Accessed 15 Feb2021"},{"key":"42_CR12","unstructured":"Goodfellow, I., et al.: Generative adversarial nets. In: NeurIPS (2014)"},{"key":"42_CR13","doi-asserted-by":"crossref","unstructured":"Gudinavi\u010dius, A., \u0160uminas, A.: Choosing a book by its cover: analysis of a reader\u2019s choice. J. Doc. (2018)","DOI":"10.1108\/JD-09-2016-0111"},{"key":"42_CR14","doi-asserted-by":"crossref","unstructured":"Hayashi, H., Abe, K., Uchida, S.: GlyphGAN: style-consistent font generation based on generative adversarial networks. Knowl. Based Sys. 186, 104927 (2019)","DOI":"10.1016\/j.knosys.2019.104927"},{"key":"42_CR15","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"42_CR16","unstructured":"Hepburn, A., McConville, R., Santos-Rodriguez, R.: Album cover generation from genre tags. In: MUSML (2017)"},{"key":"42_CR17","unstructured":"Iwana, B.K., Raza Rizvi, S.T., Ahmed, S., Dengel, A., Uchida, S.: Judging a book by its cover. arXiv preprint arXiv:1610.09204 (2016)"},{"key":"42_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1007\/978-3-319-46475-6_43","volume-title":"Computer Vision \u2013 ECCV 2016","author":"J Johnson","year":"2016","unstructured":"Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9906, pp. 694\u2013711. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46475-6_43"},{"key":"42_CR19","doi-asserted-by":"crossref","unstructured":"Johnson, J., Gupta, A., Fei-Fei, L.: Image generation from scene graphs. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00133"},{"key":"42_CR20","doi-asserted-by":"crossref","unstructured":"Johnson, J., et al.: Image retrieval using scene graphs. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298990"},{"key":"42_CR21","doi-asserted-by":"crossref","unstructured":"Jolly, S., Iwana, B.K., Kuroki, R., Uchida, S.: How do convolutional neural networks learn design? In: ICPR (2018)","DOI":"10.1109\/ICPR.2018.8545624"},{"key":"42_CR22","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"42_CR23","doi-asserted-by":"crossref","unstructured":"Klawonn, M., Heim, E.: Generating triples with adversarial networks for scene graph construction. In: AAAI (2018)","DOI":"10.1609\/aaai.v32i1.12321"},{"issue":"2","key":"42_CR24","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1525\/can.1994.9.2.02a00020","volume":"9","author":"CA Kratz","year":"1994","unstructured":"Kratz, C.A.: On telling\/selling a book by its cover. Cultur. Anthropol. 9(2), 179\u2013200 (1994)","journal-title":"Cultur. Anthropol."},{"issue":"11","key":"42_CR25","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"42_CR26","unstructured":"Li, Y., Ma, T., Bai, Y., Duan, N., Wei, S., Wang, X.: PasteGAN: a semi-parametric method to generate image from scene graph. In: NeurIPS (2019)"},{"key":"42_CR27","unstructured":"Loose, M.T., Refsgaard, A.: Booksby.ai - about. https:\/\/booksby.ai\/about\/. Accessed 15 Feb 2021"},{"issue":"3","key":"42_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s42979-020-00132-z","volume":"1","author":"A Lucieri","year":"2020","unstructured":"Lucieri, A., et al.: Benchmarking deep learning models for classification of book covers. SN Comput. Sci. 1(3), 1\u201316 (2020)","journal-title":"SN Comput. Sci."},{"key":"42_CR29","doi-asserted-by":"crossref","unstructured":"Mao, X., Li, Q., Xie, H., Lau, R.Y., Wang, Z., Paul Smolley, S.: Least squares generative adversarial networks. In: CVPR (2017)","DOI":"10.1109\/ICCV.2017.304"},{"key":"42_CR30","doi-asserted-by":"crossref","unstructured":"Patil, A.G., Ben-Eliezer, O., Perel, O., Averbuch-Elor, H.: READ: recursive autoencoders for document layout generation. In: CVPR Workshops (2020)","DOI":"10.1109\/CVPRW50498.2020.00280"},{"key":"42_CR31","doi-asserted-by":"crossref","unstructured":"Rusticus, D., Goldmann, L., Reisser, M., Villegas, M.: Document domain adaptation with generative adversarial networks. In: ICDAR (2019)","DOI":"10.1109\/ICDAR.2019.00230"},{"issue":"1","key":"42_CR32","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1109\/TNN.2008.2005605","volume":"20","author":"F Scarselli","year":"2009","unstructured":"Scarselli, F., Gori, M., Tsoi, A.C., Hagenbuchner, M., Monfardini, G.: The graph neural network model. IEEE Trans. Neural Netw. 20(1), 61\u201380 (2009)","journal-title":"IEEE Trans. Neural Netw."},{"key":"42_CR33","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"42_CR34","doi-asserted-by":"crossref","unstructured":"Suveeranont, R., Igarashi, T.: Example-based automatic font generation. In: Smart Graphics (2010)","DOI":"10.1007\/978-3-642-13544-6_12"},{"key":"42_CR35","volume-title":"The New Typography: A Handbook for Modern Designers","author":"J Tschichold","year":"1998","unstructured":"Tschichold, J.: The New Typography: A Handbook for Modern Designers, vol. 8. University of California Press, Berkeley (1998)"},{"key":"42_CR36","doi-asserted-by":"crossref","unstructured":"Uchida, S., Egashira, Y., Sato, K.: Exploring the world of fonts for discovering the most standard fonts and the missing fonts. In: ICDAR (2015)","DOI":"10.1109\/ICDAR.2015.7333800"},{"key":"42_CR37","doi-asserted-by":"crossref","unstructured":"Wu, L., et al.: Editing text in the wild. In: ACM ICM (2019)","DOI":"10.1145\/3343031.3350929"},{"key":"42_CR38","unstructured":"Xu, P., Chang, X., Guo, L., Huang, P.Y., Chen, X., Hauptmann, A.G.: A survey of scene graph: generation and application. EasyChair Preprint (2020)"}],"container-title":["Lecture Notes in Computer Science","Document Analysis and Recognition \u2013 ICDAR 2021"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-86334-0_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T22:04:31Z","timestamp":1756850671000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-86334-0_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030863333","9783030863340"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-86334-0_42","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"2 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICDAR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Document Analysis and Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lausanne","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Switzerland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icdar2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iapr.org\/icdar2021","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"340","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"182","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"54% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.9","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4.9","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Additionally, 13 competition reports are included.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}