{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T18:47:32Z","timestamp":1761677252719,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819980727"},{"type":"electronic","value":"9789819980734"}],"license":[{"start":{"date-parts":[[2023,11,15]],"date-time":"2023-11-15T00:00:00Z","timestamp":1700006400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,11,15]],"date-time":"2023-11-15T00:00:00Z","timestamp":1700006400000},"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":[[2024]]},"DOI":"10.1007\/978-981-99-8073-4_36","type":"book-chapter","created":{"date-parts":[[2023,11,14]],"date-time":"2023-11-14T08:02:54Z","timestamp":1699948974000},"page":"472-483","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Learnable Color Image Zero-Watermarking Based on\u00a0Feature Comparison"],"prefix":"10.1007","author":[{"given":"Baowei","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changyu","family":"Dai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yufeng","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,15]]},"reference":[{"issue":"1","key":"36_CR1","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1109\/TIFS.2016.2601065","volume":"12","author":"Z Zhou","year":"2016","unstructured":"Zhou, Z., Wang, Y., Wu, Q.J., Yang, C.N., Sun, X.: Effective and efficient global context verification for image copy detection. IEEE Trans. Inf. Forensics Secur. 12(1), 48\u201363 (2016)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"36_CR2","unstructured":"Wen, Q., Sun, T., Wang, S.: Based zero-watermark digital watermarking technology. In: Proceedings of the 3rd National Conference in Information Hiding, vol. 109. Xidian University Press, Xian (2001)"},{"issue":"1","key":"36_CR3","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1109\/TIE.2004.841083","volume":"52","author":"TH Chen","year":"2005","unstructured":"Chen, T.H., Horng, G., Lee, W.B.: A publicly verifiable copyright-proving scheme resistant to malicious attacks. IEEE Trans. Industr. Electron. 52(1), 327\u2013334 (2005)","journal-title":"IEEE Trans. Industr. Electron."},{"issue":"7","key":"36_CR4","doi-asserted-by":"publisher","first-page":"1118","DOI":"10.1016\/j.jss.2007.07.036","volume":"81","author":"CC Chang","year":"2008","unstructured":"Chang, C.C., Lin, P.Y.: Adaptive watermark mechanism for rightful ownership protection. J. Syst. Softw. 81(7), 1118\u20131129 (2008)","journal-title":"J. Syst. Softw."},{"issue":"6","key":"36_CR5","doi-asserted-by":"publisher","first-page":"1015","DOI":"10.1016\/j.jss.2009.12.026","volume":"83","author":"HH Tsai","year":"2010","unstructured":"Tsai, H.H., Tseng, H.C., Lai, Y.S.: Robust lossless image watermarking based on $$\\alpha $$-trimmed mean algorithm and support vector machine. J. Syst. Softw. 83(6), 1015\u20131028 (2010)","journal-title":"J. Syst. Softw."},{"issue":"2","key":"36_CR6","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/j.jss.2012.08.040","volume":"86","author":"HH Tsai","year":"2013","unstructured":"Tsai, H.H., Lai, Y.S., Lo, S.C.: A zero-watermark scheme with geometrical invariants using SVM and PSO against geometrical attacks for image protection. J. Syst. Softw. 86(2), 335\u2013348 (2013)","journal-title":"J. Syst. Softw."},{"issue":"6","key":"36_CR7","doi-asserted-by":"publisher","first-page":"1480","DOI":"10.1016\/j.sigpro.2011.12.006","volume":"92","author":"S Rawat","year":"2012","unstructured":"Rawat, S., Raman, B.: A blind watermarking algorithm based on fractional Fourier transform and visual cryptography. Sig. Process. 92(6), 1480\u20131491 (2012)","journal-title":"Sig. Process."},{"issue":"11","key":"36_CR8","doi-asserted-by":"publisher","first-page":"13455","DOI":"10.1007\/s11042-016-3750-2","volume":"76","author":"TM Thanh","year":"2017","unstructured":"Thanh, T.M., Tanaka, K.: An image zero-watermarking algorithm based on the encryption of visual map feature with watermark information. Multimedia Tools Appl. 76(11), 13455\u201313471 (2017)","journal-title":"Multimedia Tools Appl."},{"issue":"21","key":"36_CR9","doi-asserted-by":"publisher","first-page":"28685","DOI":"10.1007\/s11042-018-5995-4","volume":"77","author":"B Zou","year":"2018","unstructured":"Zou, B., Du, J., Liu, X., Wang, Y.: Distinguishable zero-watermarking scheme with similarity-based retrieval for digital rights management of fundus image. Multimedia Tools Appl. 77(21), 28685\u201328708 (2018)","journal-title":"Multimedia Tools Appl."},{"issue":"1","key":"36_CR10","doi-asserted-by":"publisher","first-page":"1169","DOI":"10.1007\/s11042-019-08191-y","volume":"79","author":"X Kang","year":"2020","unstructured":"Kang, X., Lin, G., Chen, Y., Zhao, F., Zhang, E., Jing, C.: Robust and secure zero-watermarking algorithm for color images based on majority voting pattern and hyper-chaotic encryption. Multimedia Tools Appl. 79(1), 1169\u20131202 (2020)","journal-title":"Multimedia Tools Appl."},{"key":"36_CR11","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1016\/j.sigpro.2015.10.005","volume":"120","author":"Z Shao","year":"2016","unstructured":"Shao, Z., Shang, Y., Zhang, Y., Liu, X., Guo, G.: Robust watermarking using orthogonal Fourier-Mellin moments and chaotic map for double images. Sig. Process. 120, 522\u2013531 (2016)","journal-title":"Sig. Process."},{"issue":"12","key":"36_CR12","doi-asserted-by":"publisher","first-page":"16863","DOI":"10.1007\/s11042-022-12592-x","volume":"81","author":"Y Fang","year":"2022","unstructured":"Fang, Y., et al.: Robust zero-watermarking algorithm for medical images based on SIFT and Bandelet-DCT. Multimedia Tools Appl. 81(12), 16863\u201316879 (2022). https:\/\/doi.org\/10.1007\/s11042-022-12592-x","journal-title":"Multimedia Tools Appl."},{"issue":"3","key":"36_CR13","doi-asserted-by":"publisher","first-page":"4551","DOI":"10.1007\/s11042-022-13601-9","volume":"82","author":"J Lang","year":"2023","unstructured":"Lang, J., Ma, C.: Novel zero-watermarking method using the compressed sensing significant feature. Multimedia Tools Appl. 82(3), 4551\u20134567 (2023)","journal-title":"Multimedia Tools Appl."},{"key":"36_CR14","doi-asserted-by":"crossref","unstructured":"Fierro-Radilla, A., Nakano-Miyatake, M., Cedillo-Hernandez, M., Cleofas-Sanchez, L., Perez-Meana, H.: A robust image zero-watermarking using convolutional neural networks. In: 2019 7th International Workshop on Biometrics and Forensics (IWBF), pp. 1\u20135. IEEE (2019)","DOI":"10.1109\/IWBF.2019.8739245"},{"key":"36_CR15","first-page":"1","volume":"2021","author":"B Han","year":"2021","unstructured":"Han, B., Du, J., Jia, Y., Zhu, H.: Zero-watermarking algorithm for medical image based on VGG19 deep convolution neural network. J. Healthcare Eng. 2021, 1\u201312 (2021)","journal-title":"J. Healthcare Eng."},{"key":"36_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"682","DOI":"10.1007\/978-3-030-01267-0_40","volume-title":"Computer Vision \u2013 ECCV 2018","author":"J Zhu","year":"2018","unstructured":"Zhu, J., Kaplan, R., Johnson, J., Fei-Fei, L.: HiDDeN: hiding data with deep networks. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11219, pp. 682\u2013697. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01267-0_40"},{"key":"36_CR17","doi-asserted-by":"crossref","unstructured":"Jia, Z., Fang, H., Zhang, W.: MBRS: enhancing robustness of DNN-based watermarking by mini-batch of real and simulated JPEG compression. In: Proceedings of the 29th ACM International Conference on Multimedia, pp. 41\u201349 (2021)","DOI":"10.1145\/3474085.3475324"},{"issue":"7","key":"36_CR18","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1080\/00029890.1992.11995900","volume":"99","author":"FJ Dyson","year":"1992","unstructured":"Dyson, F.J., Falk, H.: Period of a discrete cat mapping. Am. Math. Mon. 99(7), 603\u2013614 (1992)","journal-title":"Am. Math. Mon."},{"key":"36_CR19","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Van Der Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4700\u20134708 (2017)","DOI":"10.1109\/CVPR.2017.243"},{"key":"36_CR20","doi-asserted-by":"crossref","unstructured":"Howard, A., et al.: Searching for MobileNetV3. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 1314\u20131324 (2019)","DOI":"10.1109\/ICCV.2019.00140"},{"key":"36_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T-Y Lin","year":"2014","unstructured":"Lin, T.-Y., et al.: Microsoft COCO: common objects in context. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 740\u2013755. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10602-1_48"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-8073-4_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T18:41:38Z","timestamp":1710355298000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-8073-4_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,15]]},"ISBN":["9789819980727","9789819980734"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-8073-4_36","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023,11,15]]},"assertion":[{"value":"15 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Changsha","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iconip2023.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"1274","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":"650","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":"51% - 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":"4.14","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":"2.46","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}