{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T13:12:50Z","timestamp":1769346770727,"version":"3.49.0"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2020,6,19]],"date-time":"2020-06-19T00:00:00Z","timestamp":1592524800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,6,19]],"date-time":"2020-06-19T00:00:00Z","timestamp":1592524800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61762021"],"award-info":[{"award-number":["61762021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61962010"],"award-info":[{"award-number":["61962010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1007\/s12652-020-02177-7","type":"journal-article","created":{"date-parts":[[2020,6,19]],"date-time":"2020-06-19T03:57:31Z","timestamp":1592539051000},"page":"5067-5081","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Modality-specific matrix factorization hashing for cross-modal retrieval"],"prefix":"10.1007","volume":"13","author":[{"given":"Haixia","family":"Xiong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weihua","family":"Ou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zengxian","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianping","family":"Gou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quan","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anzhi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,19]]},"reference":[{"key":"2177_CR1","unstructured":"Akaho S (2006) A kernel method for canonical correlation analysis. arXiv preprint cs\/0609071"},{"key":"2177_CR2","unstructured":"Andrew G, Arora R, Bilmes J, Livescu K (2013) Deep canonical correlation analysis. In The 30th International Conference on Machine Learning (ICML), pages 1247\u20131255"},{"key":"2177_CR3","doi-asserted-by":"crossref","unstructured":"Bibi R, Mehmood Z, Yousaf RM, Saba T, Sardaraz M, Rehman A (2020) Query-by-visual-search: multimodal framework for content-based image retrieval. J Ambient Intell Humaniz Comput 1\u201320","DOI":"10.1007\/s12652-020-01923-1"},{"key":"2177_CR4","unstructured":"Chen Z-D, Li C-X, Luo X, Nie L, Zhang W, Xu X-S (2019) Scratch: A scalable discrete matrix factorization hashing framework for cross-modal retrieval. In: IEEE Transactions on Circuits and Systems for Video Technology, PP:1\u20131"},{"key":"2177_CR5","doi-asserted-by":"crossref","unstructured":"Chua T\u00a0S, Tang J, Hong R, Li H, Luo Z, Zheng Y (2009) Nus-wide: a real-world web image database from national university of singapore. In: ACM International Conference on Image and Video Retrieval, page\u00a048","DOI":"10.1145\/1646396.1646452"},{"issue":"8","key":"2177_CR6","doi-asserted-by":"publisher","first-page":"3893","DOI":"10.1109\/TIP.2018.2821921","volume":"27","author":"C Deng","year":"2018","unstructured":"Deng C, Chen Z, Liu X, Gao X, Tao D (2018) Triplet-based deep hashing network for cross-modal retrieval. IEEE Trans Image Process 27(8):3893\u20133903","journal-title":"IEEE Trans Image Process"},{"issue":"8","key":"2177_CR7","doi-asserted-by":"publisher","first-page":"4032","DOI":"10.1109\/TIP.2019.2903661","volume":"28","author":"C Deng","year":"2019","unstructured":"Deng C, Yang E, Liu T, Li J, Liu W, Tao D (2019) Unsupervised semantic-preserving adversarial hashing for image search. IEEE Trans Image Process 28(8):4032\u20134044","journal-title":"IEEE Trans Image Process"},{"key":"2177_CR8","doi-asserted-by":"crossref","unstructured":"Ding G, Guo Y, Zhou J (2014) Collective matrix factorization hashing for multimodal data. In: Proceedings of the IEEE conference on computer vision and pattern recognition 2075\u20132082","DOI":"10.1109\/CVPR.2014.267"},{"issue":"11","key":"2177_CR9","doi-asserted-by":"publisher","first-page":"5427","DOI":"10.1109\/TIP.2016.2607421","volume":"25","author":"G Ding","year":"2016","unstructured":"Ding G, Guo Y, Zhou J, Gao Y (2016) Large-scale cross-modality search via collective matrix factorization hashing. IEEE Trans Image Process 25(11):5427\u20135440","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"2177_CR10","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1007\/s11263-013-0658-4","volume":"106","author":"Y Gong","year":"2014","unstructured":"Gong Y, Ke Q, Isard M, Lazebnik S (2014) A multi-view embedding space for modeling internet images, tags, and their semantics. Int J Comput Vis 106(2):210\u2013233","journal-title":"Int J Comput Vis"},{"key":"2177_CR11","unstructured":"Huimin L, Zhang Ming X.\u00a0X, Li Y, Shen H (2020) Deep fuzzy hashing network for efficient image retrieval. IEEE Trans Fuzzy Syst, PP:1\u20131"},{"key":"2177_CR12","doi-asserted-by":"crossref","unstructured":"Huiskes MJ, Lew MS (2008) The mir flickr retrieval evaluation. In: ACM Sigmm International Conference on Multimedia information retrieval, Mir 2008. Vancouver, British Columbia, Canada October, pp 39\u201343","DOI":"10.1145\/1460096.1460104"},{"key":"2177_CR13","doi-asserted-by":"crossref","unstructured":"Hussain DM, Surendran D (2020) The efficient fast-response content-based image retrieval using spark and mapreduce model framework. J Ambient Intell Humaniz Comput 1\u20138","DOI":"10.1007\/s12652-020-01775-9"},{"key":"2177_CR14","unstructured":"Jacobs DW, Daume H, Kumar A, Sharma A (2012) Generalized multiview analysis: A discriminative latent space. In: IEEE Conference on Computer Vision and Pattern Recognition(CVPR), pages 2160\u20132167"},{"key":"2177_CR15","doi-asserted-by":"crossref","unstructured":"Li C, Chen Zhenduo ZP-F, Luo X, Nie L, Zhang W, Xu X-S (2018) Scratch: A scalable discrete matrix factorization hashing for cross-modal retrieval. In: Proceedings of the 26th ACM international conference on Multimedia, pages 1\u20139","DOI":"10.1145\/3240508.3240547"},{"key":"2177_CR16","doi-asserted-by":"crossref","unstructured":"Li C, Zhou B (2020) Fast key-frame image retrieval of intelligent city security video based on deep feature coding in high concurrent network environment. J Ambient Intell Humaniz Comput, 1\u20139","DOI":"10.1007\/s12652-020-01679-8"},{"key":"2177_CR17","doi-asserted-by":"crossref","unstructured":"Lichao D, Li N, Liu W, Gao X, Tao D (2018) Self-supervised adversarial hashing networks for cross-modal retrieval. Comput Vis Pattern Recogn, p 4242\u20134251","DOI":"10.1109\/CVPR.2018.00446"},{"issue":"1","key":"2177_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3152126","volume":"14","author":"G-J Likai Qi","year":"2018","unstructured":"Likai Qi G-J, Hua K\u00a0A (2018) Learning label preserving binary codes for multimedia retrieval: a general approach. ACM Trans Mult Comput Commun Appl (TOMM) 14(1):1\u201323","journal-title":"ACM Trans Mult Comput Commun Appl (TOMM)"},{"issue":"23","key":"2177_CR19","doi-asserted-by":"publisher","first-page":"368","DOI":"10.1007\/s11036-017-0932-8","volume":"4","author":"H Lu","year":"2018","unstructured":"Lu H, Li Y, Chen M, Kim H, Serikawa S (2018) Brain intelligence: go beyond artificial intelligence. Mobile Netw Appl 4(23):368\u2013375","journal-title":"Mobile Netw Appl"},{"key":"2177_CR20","doi-asserted-by":"crossref","unstructured":"Lu W, Zhang X, Lu H, Li F (2020) Deep hierarchical encoding model for sentence semantic matching. J Vis Commun Image Represent, p 102794","DOI":"10.1016\/j.jvcir.2020.102794"},{"key":"2177_CR21","doi-asserted-by":"crossref","unstructured":"Ma D, Liang J, Kong X, He R (2016) Frustratingly easy cross-modal hashing. In: Proceedings of the 24th ACM international conference on Multimedia, p 237\u2013241. ACM","DOI":"10.1145\/2964284.2967218"},{"key":"2177_CR22","doi-asserted-by":"crossref","unstructured":"Ou W, Xuan R, Gou J, Zhou Q, Cao Y (2019) Semantic consistent adversarial cross-modal retrieval exploiting semantic similarity. Multimed Tools Appl 1\u201318","DOI":"10.1007\/978-3-030-04946-1_45"},{"key":"2177_CR23","unstructured":"Peng Y, Huang X, Zhao Y (2017) An overview of cross-media retrieval: Concepts, methodologies, benchmarks and challenges. in: IEEE Transactions on Circuits and Systems for Video Technology, 1\u201314"},{"issue":"11","key":"2177_CR24","doi-asserted-by":"publisher","first-page":"5585","DOI":"10.1109\/TIP.2018.2852503","volume":"27","author":"Y Peng","year":"2018","unstructured":"Peng Y, Qi J, Yuan Y (2018) Modality-specific cross-modal similarity measurement with recurrent attention network. IEEE Trans Image Process 27(11):5585\u20135599","journal-title":"IEEE Trans Image Process"},{"key":"2177_CR25","doi-asserted-by":"crossref","unstructured":"Rasiwasia N, Pereira JC, Coviello E, Doyle G, Lanckriet GRG, Levy R, Vasconcelos N (2010) A new approach to cross-modal multimedia retrieval. In: International Conference on Multimedia, 251\u2013260","DOI":"10.1145\/1873951.1873987"},{"issue":"1","key":"2177_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/BF02289451","volume":"31","author":"PH Sch\u00f6nemann","year":"1966","unstructured":"Sch\u00f6nemann PH (1966) A generalized solution of the orthogonal procrustes problem. Psychometrika 31(1):1\u201310","journal-title":"Psychometrika"},{"key":"2177_CR27","doi-asserted-by":"crossref","unstructured":"Singh AP, Gordon GJ (2008) Relational learning via collective matrix factorization. In: Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, pp 650\u2013658","DOI":"10.1145\/1401890.1401969"},{"key":"2177_CR28","doi-asserted-by":"crossref","unstructured":"Song J, Yang Y, Yang Y, Huang Z, Shen HT (2013) Inter-media hashing for large-scale retrieval from heterogeneous data sources. In: Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data, pp 785\u2013796","DOI":"10.1145\/2463676.2465274"},{"issue":"7","key":"2177_CR29","doi-asserted-by":"publisher","first-page":"3157","DOI":"10.1109\/TIP.2016.2564638","volume":"25","author":"J Tang","year":"2016","unstructured":"Tang J, Wang K, Shao L (2016) Supervised matrix factorization hashing for cross-modal retrieval. IEEE Trans Image Process 25(7):3157\u20133166","journal-title":"IEEE Trans Image Process"},{"key":"2177_CR30","unstructured":"Wang D, Gao X, Wang X, He L (2015) Semantic topic multimodal hashing for cross-media retrieval. In: the International Joint Conference on Artificial Intelligence(IJCAI), pages 2291\u20132297"},{"issue":"6","key":"2177_CR31","doi-asserted-by":"publisher","first-page":"1608","DOI":"10.1016\/j.sigpro.2012.07.015","volume":"93","author":"D Wang","year":"2013","unstructured":"Wang D, Lu H (2013) On-line learning parts-based representation via incremental orthogonal projective non-negative matrix factorization. Signal Process 93(6):1608\u20131623","journal-title":"Signal Process"},{"issue":"9","key":"2177_CR32","doi-asserted-by":"publisher","first-page":"1709","DOI":"10.1109\/TCSVT.2015.2462012","volume":"26","author":"D Wang","year":"2016","unstructured":"Wang D, Lu H, Yang M-H (2016) Robust visual tracking via least soft-threshold squares. IEEE Trans Circuits Syst Video Technol 26(9):1709\u20131721","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"2177_CR33","unstructured":"Wang W, Livescu K (2015) Large-scale approximate kernel canonical correlation analysis. arXiv preprint arXiv:1511.04773"},{"key":"2177_CR34","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.neucom.2015.11.133","volume":"213","author":"X Xu","year":"2017","unstructured":"Xu X, He L, Shimada A, Taniguchi RI, Lu H (2017) Learning unified binary codes for cross-modal retrieval via latent semantic hashing. Neurocomputing 213:191\u2013203","journal-title":"Neurocomputing"},{"key":"2177_CR35","doi-asserted-by":"crossref","unstructured":"Xu X, Lu H, Song J, Yang Y, Shen HT, Li X (2019) Ternary adversarial networks with self-supervision for zero-shot cross-modal retrieval. IEEE Trans Cybern (in press)","DOI":"10.1109\/TCYB.2019.2928180"},{"key":"2177_CR36","doi-asserted-by":"crossref","unstructured":"Xu XS (2017) Dictionary learning based hashing for cross-modal retrieval. In: Proceedings of the 24th ACM international conference on Multimedia, pp 177\u2013181","DOI":"10.1145\/2964284.2967206"},{"issue":"3","key":"2177_CR37","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1109\/TMM.2008.917359","volume":"10","author":"Y Yang","year":"2008","unstructured":"Yang Y, Zhuang Y-T, Wu F, Pan Y-H (2008) Harmonizing hierarchical manifolds for multimedia document semantics understanding and cross-media retrieval. IEEE Trans Multimed 10(3):437\u2013446","journal-title":"IEEE Trans Multimed"},{"key":"2177_CR38","doi-asserted-by":"crossref","unstructured":"Yao T, Han Y, Tao WR, Kong X, Yan L, Fu H, Tian Q (2019) Efficient discrete supervised hashing for large-scale cross-modal retrieval. arXiv preprint arXiv:1905.01304","DOI":"10.1109\/ACCESS.2019.2897249"},{"key":"2177_CR39","first-page":"1","volume":"99","author":"T Yao","year":"2019","unstructured":"Yao T, Kong K, Fu H, Tian Q, (2019) Discrete semantic alignment hashing for cross-media retrieval. IEEE Trans Cybern 99:1\u201312","journal-title":"IEEE Trans Cybern"},{"key":"2177_CR40","doi-asserted-by":"publisher","first-page":"39806","DOI":"10.1109\/ACCESS.2019.2897249","volume":"7","author":"Zhang, Z Yaotao","year":"2019","unstructured":"Yaotao Zhang, Z, Yan L, Yue J, Tian Q (2019) Discrete robust supervised hashing for cross-modal retrieval. IEEE Access 7:39806\u201339814","journal-title":"IEEE Access"},{"key":"2177_CR41","doi-asserted-by":"crossref","unstructured":"Zhang D, Li W-J (2014) Large-scale supervised multimodal hashing with semantic correlation maximization. AAAI 2177\u20132183","DOI":"10.1609\/aaai.v28i1.8995"},{"key":"2177_CR42","doi-asserted-by":"crossref","unstructured":"Zhang Y, Lu W, Ou W, Zhang G, Zhang X, Cheng J, Zhang W (2020) Chinese medical question answer selection via hybrid models based on cnn and gru. Multimed Tools Appl 1\u201326","DOI":"10.1007\/s11042-019-7240-1"},{"key":"2177_CR43","doi-asserted-by":"crossref","unstructured":"Zhou J, Ding G, Guo Y (2014) Latent semantic sparse hashing for cross-modal similarity search. In: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, pages 415\u2013424","DOI":"10.1145\/2600428.2609610"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-020-02177-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-020-02177-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-020-02177-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T15:44:39Z","timestamp":1666107879000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-020-02177-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,19]]},"references-count":43,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2022,11]]}},"alternative-id":["2177"],"URL":"https:\/\/doi.org\/10.1007\/s12652-020-02177-7","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6,19]]},"assertion":[{"value":"10 April 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 June 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 June 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}