{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T03:35:31Z","timestamp":1742960131326,"version":"3.40.3"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030394301"},{"type":"electronic","value":"9783030394318"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","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":[[2020]]},"DOI":"10.1007\/978-3-030-39431-8_34","type":"book-chapter","created":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T13:03:02Z","timestamp":1580475782000},"page":"353-362","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Design Patent Images Classification Based on Image Caption Model"],"prefix":"10.1007","author":[{"given":"Hongyu","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingyun","family":"Dai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ya","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chuxin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siyu","family":"Yi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,2,1]]},"reference":[{"issue":"7","key":"34_CR1","doi-asserted-by":"publisher","first-page":"2446","DOI":"10.1093\/rfs\/hhx023","volume":"30","author":"L Fang","year":"2017","unstructured":"Fang, L., Lerner, J., Wu, C.: Intellectual property rights protection, ownership, and innovation: evidence from China. Rev. Financ. Stud. 30(7), 2446\u20132447 (2017)","journal-title":"Rev. Financ. Stud."},{"key":"34_CR2","unstructured":"Shalaby, W., Zadrozny, W.: Patent retrieval: a literature review. Knowl. Inf. Syst. 1\u201330 (2017)"},{"issue":"2","key":"34_CR3","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.wpi.2009.05.010","volume":"32","author":"S Vrochidis","year":"2010","unstructured":"Vrochidis, S., Papadopoulos, S., Moumtzidou, A.: Towards content-based patent image retrieval: a framework perspective. World Patent Inf. 32(2), 94\u2013106 (2010)","journal-title":"World Patent Inf."},{"issue":"3","key":"34_CR4","first-page":"404","volume":"19","author":"M Rehman","year":"2012","unstructured":"Rehman, M., Iqbal, M., Sharif, M.: Content based image retrieval: survey. World Appl. Sci. J. 19(3), 404\u2013412 (2012)","journal-title":"World Appl. Sci. J."},{"key":"34_CR5","doi-asserted-by":"crossref","unstructured":"Wan, J., Wang, D., Hoi, S.C.H.: Deep learning for content-based image retrieval: a comprehensive study. In: Proceedings of the 22nd ACM International Conference on Multimedia, pp. 157\u2013166. ACM, New York (2014)","DOI":"10.1145\/2647868.2654948"},{"key":"34_CR6","series-title":"The Information Retrieval Series","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1007\/978-3-662-53817-3_12","volume-title":"Current Challenges in Patent Information Retrieval","author":"G Csurka","year":"2017","unstructured":"Csurka, G.: Document image classification, with a specific view on applications of patent images. In: Lupu, M., Mayer, K., Kando, N., Trippe, A. (eds.) Current Challenges in Patent Information Retrieval. TIRS, vol. 37, pp. 325\u2013350. Springer, Heidelberg (2017). \nhttps:\/\/doi.org\/10.1007\/978-3-662-53817-3_12"},{"issue":"16","key":"34_CR7","first-page":"202","volume":"48","author":"L Xuming","year":"2012","unstructured":"Xuming, L., Qingyun, D., Jiangzhong, C., et al.: Design patent image retrieval system based on semantic classification. Comput. Eng. Appl. 48(16), 202\u2013206 (2012)","journal-title":"Comput. Eng. Appl."},{"key":"34_CR8","unstructured":"Senhong, W.: Research on classification methods of design patent image. Guangdong University of Technology, Guangzhou, Guangdong (2013)"},{"key":"34_CR9","doi-asserted-by":"crossref","unstructured":"Ni, H., Guo, Z., Huang, B.: Patent image classification using local-constrained linear coding and spatial pyramid matching. In: 2015 International Conference on Service Science. IEEE, Weihai, China (2015)","DOI":"10.1109\/ICSS.2015.13"},{"key":"34_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1007\/978-3-319-12511-4_12","volume-title":"Professional Search in the Modern World","author":"S Vrochidis","year":"2014","unstructured":"Vrochidis, S., Moumtzidou, A., Kompatsiaris, I.: Enhancing patent search with content-based image retrieval. In: Paltoglou, G., Loizides, F., Hansen, P. (eds.) Professional Search in the Modern World. LNCS, vol. 8830, pp. 250\u2013273. Springer, Cham (2014). \nhttps:\/\/doi.org\/10.1007\/978-3-319-12511-4_12"},{"issue":"6","key":"34_CR11","first-page":"118","volume":"51","author":"MD Hossain","year":"2019","unstructured":"Hossain, M.D., Sohel, F., Shiratuddin, M.F., et al.: A comprehensive survey of deep learning for image captioning. ACM Comput. Surv. CSUR 51(6), 118 (2019)","journal-title":"ACM Comput. Surv. CSUR"},{"key":"34_CR12","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.imavis.2019.03.003","volume":"86","author":"Y Peng","year":"2019","unstructured":"Peng, Y., Liu, X., Wang, W., Zhao, X., Wei, M.: Image caption model of double LSTM with scene factors. Image Vis. Comput. 86, 38\u201344 (2019)","journal-title":"Image Vis. Comput."},{"key":"34_CR13","doi-asserted-by":"crossref","unstructured":"Vinyals, O., Toshev, A., Bengio, S., Erhan, D.: Show and tell: a neural image caption generator. In: The IEEE Conference on Computer Vision and Pattern Recognition, CVPR, Boston, USA, pp. 3156\u20133164 (2015)","DOI":"10.1109\/CVPR.2015.7298935"},{"key":"34_CR14","unstructured":"Xu, K., Ba, J., Kiros, R., Courville, A., et al.: Show, attend and tell: neural image caption generation with visual attention. In: International Conference on Machine Learning 2015, ICML, Lille, France, pp. 2048\u20132057 (2015)"},{"key":"34_CR15","doi-asserted-by":"crossref","unstructured":"Lu, J., Xiong, C., Parikh, D., et al.: Knowing when to look: adaptive attention via a visual sentinel for image captioning. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR, Honolulu, Hawaii, pp. 375\u2013383 (2017)","DOI":"10.1109\/CVPR.2017.345"},{"key":"34_CR16","doi-asserted-by":"crossref","unstructured":"Anderson, P., et al.: Bottom-up and top-down attention for image captioning and visual question answering. In: 2018 Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR, pp. 6077\u20136086 (2018)","DOI":"10.1109\/CVPR.2018.00636"},{"key":"34_CR17","doi-asserted-by":"crossref","unstructured":"Gao, L., Li, X., Song, J., et al.: Hierarchical LSTMs with adaptive attention for visual captioning. IEEE Trans. Pattern Anal. Mach. Intell. (2019)","DOI":"10.1109\/TPAMI.2019.2894139"},{"issue":"8","key":"34_CR18","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"34_CR19","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: Advances in Neural Information Processing Systems, pp. 3104\u20133112 (2014)"},{"issue":"3","key":"34_CR20","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1109\/TASLP.2015.2400218","volume":"23","author":"M Sundermeyer","year":"2015","unstructured":"Sundermeyer, M., Ney, H., Schl\u00fcter, R.: From feedforward to recurrent LSTM neural networks for language modeling. IEEE\/ACM Trans. Audio Speech Lang. Process. 23(3), 517\u2013529 (2015)","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"issue":"1","key":"34_CR21","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1007\/s11042-018-5749-3","volume":"78","author":"S Song","year":"2019","unstructured":"Song, S., Huang, H., Ruan, T.: Abstractive text summarization using LSTM-CNN based deep learning. Multimed. Tools Appl. 78(1), 857\u2013875 (2019)","journal-title":"Multimed. Tools Appl."},{"key":"34_CR22","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., et al.: Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR, LasVegas, Nevada, pp. 2818\u20132826 (2016)","DOI":"10.1109\/CVPR.2016.308"},{"key":"34_CR23","unstructured":"Microsoft COCO caption Evaluation. \nhttps:\/\/github.com\/tylin\/coco-caption\n\n. 17 Mar 2015"},{"key":"34_CR24","doi-asserted-by":"publisher","first-page":"853","DOI":"10.1613\/jair.3994","volume":"47","author":"M Hodosh","year":"2013","unstructured":"Hodosh, M., Young, P., Hockenmaier, J.: Framing image description as a ranking task: data, models and evaluation metrics. J. Artif. Intell. Res. 47, 853\u2013899 (2013)","journal-title":"J. Artif. Intell. Res."},{"issue":"1","key":"34_CR25","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1109\/TCYB.2016.2641986","volume":"48","author":"A Zhang","year":"2016","unstructured":"Zhang, A., Sun, G., Ren, J.: A dynamic neighborhood learning-based gravitational search algorithm. IEEE Trans. Cybern. 48(1), 436\u2013447 (2016)","journal-title":"IEEE Trans. Cybern."},{"issue":"4","key":"34_CR26","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1007\/s11045-016-0416-1","volume":"27","author":"J Zheng","year":"2016","unstructured":"Zheng, J., Liu, Y., Ren, J., et al.: Fusion of block and keypoints based approaches for effective copy-move image forgery detection. Multidimension. Syst. Signal Process. 27(4), 989\u20131005 (2016)","journal-title":"Multidimension. Syst. Signal Process."},{"key":"34_CR27","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.patcog.2018.02.004","volume":"79","author":"Y Yan","year":"2018","unstructured":"Yan, Y., Ren, J., Sun, G., et al.: Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement. Pattern Recogn. 79, 65\u201378 (2018)","journal-title":"Pattern Recogn."},{"key":"34_CR28","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1016\/j.neucom.2015.08.013","volume":"171","author":"M Sun","year":"2016","unstructured":"Sun, M., Zhang, D., Wang, Z., et al.: Monte Carlo convex hull model for classification of traditional Chinese paintings. Neurocomputing 171, 788\u2013797 (2016)","journal-title":"Neurocomputing"},{"issue":"4","key":"34_CR29","doi-asserted-by":"publisher","first-page":"638","DOI":"10.1016\/j.engappai.2011.02.011","volume":"24","author":"J Ren","year":"2011","unstructured":"Ren, J., Wang, D.: Effective recognition of MCCs in mammograms using an improved neural classifier. Eng. Appl. Artif. Intell. 24(4), 638\u2013645 (2011)","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"1","key":"34_CR30","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1007\/s12559-017-9529-6","volume":"10","author":"Y Yan","year":"2018","unstructured":"Yan, Y., Ren, J., Zhao, H., et al.: Cognitive fusion of thermal and visible imagery for effective detection and tracking of pedestrians in videos. Cogn. Comput. 10(1), 94\u2013104 (2018)","journal-title":"Cogn. Comput."},{"issue":"3","key":"34_CR31","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1016\/j.sigpro.2006.06.013","volume":"87","author":"J Ren","year":"2007","unstructured":"Ren, J., Vlachos, T.: Efficient detection of temporally impulsive dirt impairments in archived films. Signal Process. 87(3), 541\u2013551 (2007)","journal-title":"Signal Process."},{"issue":"5","key":"34_CR32","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1007\/s12559-016-9424-6","volume":"8","author":"Y Zhou","year":"2016","unstructured":"Zhou, Y., et al.: Hierarchical visual perception and two-dimensional compressive sensing for effective content-based color image retrieval. Cogn. Comput. 8(5), 877\u2013889 (2016)","journal-title":"Cogn. Comput."},{"issue":"6","key":"34_CR33","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1007\/s00138-009-0212-0","volume":"21","author":"J Ren","year":"2010","unstructured":"Ren, J., et al.: Multi-camera video surveillance for real-time analysis and reconstruction of soccer games. Mach. Vis. Appl. 21(6), 855\u2013863 (2010)","journal-title":"Mach. Vis. Appl."}],"container-title":["Lecture Notes in Computer Science","Advances in Brain Inspired Cognitive Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-39431-8_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,1]],"date-time":"2020-02-01T00:03:36Z","timestamp":1580515416000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-39431-8_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030394301","9783030394318"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-39431-8_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"1 February 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BICS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Brain Inspired Cognitive Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guangzhou","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bics2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.bics-online.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}