{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T16:57:28Z","timestamp":1783357048527,"version":"3.54.6"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2022,10,22]],"date-time":"2022-10-22T00:00:00Z","timestamp":1666396800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,10,22]],"date-time":"2022-10-22T00:00:00Z","timestamp":1666396800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61603159"],"award-info":[{"award-number":["61603159"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62162033"],"award-info":[{"award-number":["62162033"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21B2027"],"award-info":[{"award-number":["U21B2027"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1836218"],"award-info":[{"award-number":["U1836218"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1007\/s10489-022-04189-6","type":"journal-article","created":{"date-parts":[[2022,10,22]],"date-time":"2022-10-22T11:40:02Z","timestamp":1666438802000},"page":"14201-14218","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Online supervised collective matrix factorization hashing for cross-modal retrieval"],"prefix":"10.1007","volume":"53","author":[{"given":"Zhenqiu","family":"Shu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donglin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengtao","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao-Jun","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,10,22]]},"reference":[{"key":"4189_CR1","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.imavis.2019.06.004","volume":"89","author":"Ju Yu","year":"2019","unstructured":"Yu Ju, Wu X-J, Kittler J (2019) Discriminative supervised hashing for cross-modal similarity search. Image Vis Comput 89:50\u201356","journal-title":"Image Vis Comput"},{"key":"4189_CR2","doi-asserted-by":"publisher","first-page":"107523","DOI":"10.1016\/j.patcog.2020.107523","volume":"107","author":"F Zhong","year":"2020","unstructured":"Zhong F, Chen Z, Min G, Xia F (2020) A novel strategy to balance the results of cross-modal hashing. Pattern Recogn 107:107523","journal-title":"Pattern Recogn"},{"issue":"10","key":"4189_CR3","doi-asserted-by":"publisher","first-page":"3351","DOI":"10.1109\/TKDE.2020.2970050","volume":"33","author":"HT Shen","year":"2020","unstructured":"Shen HT, Liu L, Yang Y, Xu X, Zi H, Shen F, Hong R (2020) Exploiting subspace relation in semantic labels for cross-modal hashing. IEEE Trans Knowl Data Eng 33(10):3351\u20133365","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4189_CR4","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1016\/j.neucom.2022.09.037","volume":"511","author":"Z Shu","year":"2022","unstructured":"Shu Z, Yong K, Yu J, Gao S, Mao C, Yu Z (2022) Discrete asymmetric zeroshot hashing with application to cross-modal retrieval. Neurocomputing 511:366\u2013379","journal-title":"Neurocomputing"},{"key":"4189_CR5","doi-asserted-by":"crossref","unstructured":"Yu J, Zhang D, Shu Z, Chen F (2022) Adaptive multi-modal fusion hashing via hadamard matrix. Appl Intell:1\u201315","DOI":"10.1007\/s10489-022-03367-w"},{"key":"4189_CR6","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1016\/j.ins.2022.07.095","volume":"609","author":"Z Shu","year":"2022","unstructured":"Shu Z, Bai Y, Zhang D, Yu J, Yu Z, Wu X-J (2022) Specific class center guided deep hashing for cross-modal retrieval. Inf Sci 609:304\u2013318","journal-title":"Inf Sci"},{"key":"4189_CR7","doi-asserted-by":"crossref","unstructured":"Xie L, Shen J, Zhu L (2016) Online cross-modal hashing for web image retrieval. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol 30","DOI":"10.1609\/aaai.v30i1.9982"},{"key":"4189_CR8","doi-asserted-by":"crossref","unstructured":"Di W, Wang Q, An Y, Gao X, Tian Y (2020) Online collective matrix factorization hashing for large-scale cross-media retrieval. In: Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval, pp 1409\u20131418","DOI":"10.1145\/3397271.3401132"},{"key":"4189_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.patcog.2018.12.012","volume":"89","author":"T Yao","year":"2019","unstructured":"Yao T, Wang G, Yan L, Kong X, Su Q, Zhang C, Qi T (2019) Online latent semantic hashing for cross-media retrieval. Pattern Recogn 89:1\u201311","journal-title":"Pattern Recogn"},{"key":"4189_CR10","doi-asserted-by":"crossref","unstructured":"Yi J, Liu X, Cheung Y-M, Xu X, Fan W, Yi He (2021) Efficient online label consistent hashing for large-scale cross-modal retrieval. In: 2021 IEEE internationa conference on multimedia and expo (ICME) IEEE, pp 1\u20136.","DOI":"10.1109\/ICME51207.2021.9428323"},{"key":"4189_CR11","doi-asserted-by":"crossref","unstructured":"Lu X, Zhu L, Cheng Z, Li J, Nie X, Zhang H (2019) Flexible online multi-modal hashing for large-scale multimedia retrieval. In: Proceedings of the 27th ACM international conference on multimedia, pp 1129\u20131137","DOI":"10.1145\/3343031.3350999"},{"key":"4189_CR12","doi-asserted-by":"publisher","first-page":"107479","DOI":"10.1016\/j.patcog.2020.107479","volume":"107","author":"W Di","year":"2020","unstructured":"Di W, Wang Q, He L, Gao X, Tian Y (2020) Joint and individual matrix factorization hashing for large-scale cross-modal retrieval. Pattern Recogn 107:107479","journal-title":"Pattern Recogn"},{"key":"4189_CR13","doi-asserted-by":"publisher","first-page":"107732","DOI":"10.1016\/j.patcog.2020.107732","volume":"111","author":"W Lu","year":"2021","unstructured":"Lu W, Yang J, Zareapoor M, Zheng Z (2021) Cluster-wise unsupervised hashing for cross-modal similarity search. Pattern Recogn 111:107732","journal-title":"Pattern Recogn"},{"issue":"10","key":"4189_CR14","doi-asserted-by":"publisher","first-page":"3023","DOI":"10.1007\/s13042-021-01395-5","volume":"12","author":"X Fang","year":"2021","unstructured":"Fang X, Liu Z, Na H, Jiang L, Teng S (2021) Discrete matrix factorization hashing for cross-modal retrieval. Int J Mach Learn Cybern 12(10):3023\u20133036","journal-title":"Int J Mach Learn Cybern"},{"key":"4189_CR15","doi-asserted-by":"crossref","unstructured":"Yao T, Li Y, Guan W, Wang G, Li Y, Yan L, Tian Q (2021) Discrete robust matrix factorization hashing for large-scale cross-media retrieval. IEEE Trans Knowl Data Eng","DOI":"10.1109\/TKDE.2021.3107489"},{"key":"4189_CR16","doi-asserted-by":"crossref","unstructured":"Li H, Zhang C, Jia X, Gao Y, Chen C (2021) Adaptive label correlation based asymmetric discrete hashing for cross-modal retrieval. IEEE Trans Knowl Data Eng","DOI":"10.1109\/TKDE.2021.3102119"},{"key":"4189_CR17","doi-asserted-by":"crossref","unstructured":"Zhang D, Wu X-J, Xu T, Yin H (2021) Dah: discrete asymmetric hashing for efficient cross-media retrieval. IEEE Trans Knowl Data Eng","DOI":"10.1109\/TKDE.2021.3099125"},{"key":"4189_CR18","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.patrec.2021.07.018","volume":"151","author":"D Zhang","year":"2021","unstructured":"Zhang D, Wu X-J, Yin H-F, Moon JK (2021) Multi-hash codes joint learning for cross-media retrieval. Pattern Recogn Lett 151:19\u201325","journal-title":"Pattern Recogn Lett"},{"issue":"10","key":"4189_CR19","first-page":"2466","volume":"41","author":"W Di","year":"2018","unstructured":"Di W, Gao X, Wang X, He L (2018) Label consistent matrix factorization hashing for large-scale cross-modal similarity search. IEEE Trans Pattern Anal Mach Intell 41(10):2466\u20132479","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"3","key":"4189_CR20","doi-asserted-by":"publisher","first-page":"964","DOI":"10.1109\/TPAMI.2019.2940446","volume":"43","author":"X Liu","year":"2019","unstructured":"Liu X, Hu Z, Ling H, Mtfh Y-MC (2019) A matrix tri-factorization hashing framework for efficient cross-modal retrieval. IEEE Trans Pattern Anal Mach Intell 43(3):964\u2013981","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"4189_CR21","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/j.cviu.2016.10.009","volume":"156","author":"F Cakir","year":"2017","unstructured":"Cakir F, Bargal SA, Sclaroff S (2017) Online supervised hashing. Comput Vis Image Underst 156:162\u2013173","journal-title":"Comput Vis Image Underst"},{"key":"4189_CR22","doi-asserted-by":"crossref","unstructured":"Cakir F, He K, Bargal SA, Mihash SS (2017) Online hashing with mutual information. In: Proceedings of the IEEE international conference on computer vision, pp 437\u2013445","DOI":"10.1109\/ICCV.2017.55"},{"key":"4189_CR23","doi-asserted-by":"crossref","unstructured":"Cakir F, Sclaroff S (2015) Adaptive hashing for fast similarity search. In: Proceedings of the IEEE international conference on computer vision, pp 1044\u20131052","DOI":"10.1109\/ICCV.2015.125"},{"key":"4189_CR24","unstructured":"Huang L-K, Yang Q, Zheng W- (2013) Online hashing. In: IJCAI, pp 1422\u20131428"},{"key":"4189_CR25","doi-asserted-by":"crossref","unstructured":"Leng C, Wu J, Cheng J, Bai X, Lu H (2015) Online sketching hashing. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2503\u20132511","DOI":"10.1109\/CVPR.2015.7298865"},{"key":"4189_CR26","doi-asserted-by":"crossref","unstructured":"Lin M, Ji R, Liu H, Sun X, Wu Y, Wu Y (2019) Towards optimal discrete online hashing with balanced similarity. In: Proceedings of the AAAI conference on artificial intelligence, vol 33, pp 8722\u20138729","DOI":"10.1609\/aaai.v33i01.33018722"},{"key":"4189_CR27","doi-asserted-by":"crossref","unstructured":"Lin M, Ji R, Liu H, Wu Y (2018) Supervised online hashing via hadamard codebook learning. In: Proceedings of the 26th ACM international conference on multimedia, pp 1635\u20131643","DOI":"10.1145\/3240508.3240519"},{"key":"4189_CR28","doi-asserted-by":"crossref","unstructured":"Lin M, Ji R, Sun X, Zhang B, Huang F, Tian Y, Tao D (2020) Fast class-wise updating for online hashing. IEEE Trans Pattern Anal Mach Intell","DOI":"10.1109\/TPAMI.2020.3042193"},{"issue":"8","key":"4189_CR29","doi-asserted-by":"publisher","first-page":"2279","DOI":"10.1007\/s11263-020-01332-z","volume":"128","author":"M Lin","year":"2020","unstructured":"Lin M, Ji R, Liu H, Sun X, Chen S, Qi T (2020) Hadamard matrix guided online hashing. Int J Comput Vis 128(8):2279\u20132306","journal-title":"Int J Comput Vis"},{"key":"4189_CR30","doi-asserted-by":"publisher","first-page":"5289","DOI":"10.1109\/TIP.2020.2981879","volume":"29","author":"M Lin","year":"2020","unstructured":"Lin M, Ji R, Chen S, Sun X, Lin C-W (2020) Similarity-preserving linkage hashing for online image retrieval. IEEE Trans Image Process 29:5289\u20135300","journal-title":"IEEE Trans Image Process"},{"key":"4189_CR31","doi-asserted-by":"publisher","first-page":"206360","DOI":"10.1109\/ACCESS.2020.3037968","volume":"8","author":"R Su","year":"2020","unstructured":"Su R, Di W, Huang Z, Liu Y, An Y (2020) Online adaptive supervised hashing for large-scale cross-modal retrieval. IEEE Access 8:206360\u2013206370","journal-title":"IEEE Access"},{"key":"4189_CR32","doi-asserted-by":"publisher","first-page":"108262","DOI":"10.1016\/j.patcog.2021.108262","volume":"122","author":"Y-W Zhan","year":"2022","unstructured":"Zhan Y-W, Wang Y, Yu S, Wu X-M, Luo X, Xu X-S (2022) Discrete online cross-modal hashing. Pattern Recogn 122:108262","journal-title":"Pattern Recogn"},{"key":"4189_CR33","doi-asserted-by":"crossref","unstructured":"Lu X, Zhu L, Cheng Z, Nie L, Zhang H (2019) Online multi-modal hashing with dynamic query-adaption. In: Proceedings of the 42nd international ACM SIGIR conference on research and development in information retrieval, pp 715\u2013724","DOI":"10.1145\/3331184.3331217"},{"key":"4189_CR34","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: Proceedings of the 18th ACM international conference on multimedia, pp 251\u2013260","DOI":"10.1145\/1873951.1873987"},{"key":"4189_CR35","doi-asserted-by":"crossref","unstructured":"Huiskes MJ, Lew MS (2008) The mir flickr retrieval evaluation. In: Proceedings of the 1st ACM international conference on multimedia information retrieval, pp 39\u201343","DOI":"10.1145\/1460096.1460104"},{"key":"4189_CR36","doi-asserted-by":"crossref","unstructured":"Lin Z, Ding G, Hu M, Wang J (2015) Semantics-preserving hashing for cross-view retrieval. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3864\u20133872","DOI":"10.1109\/CVPR.2015.7299011"},{"key":"4189_CR37","doi-asserted-by":"crossref","unstructured":"Chua T-S, 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: Proceedings of the ACM international conference on image and video retrieval, pp 1\u20139","DOI":"10.1145\/1646396.1646452"},{"key":"4189_CR38","doi-asserted-by":"crossref","unstructured":"Lin T-Y, Maire M, Belongie S, Hays J, Perona P, Ramanan D, Doll\u00e1r P, Zitnick CL (2014) Microsoft coco: common objects in context. In: European conference on computer vision. Springer, pp 740\u2013755","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"4189_CR39","unstructured":"Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv:1409.1556"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-04189-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-022-04189-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-04189-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T10:36:08Z","timestamp":1685529368000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-022-04189-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,22]]},"references-count":39,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2023,6]]}},"alternative-id":["4189"],"URL":"https:\/\/doi.org\/10.1007\/s10489-022-04189-6","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,22]]},"assertion":[{"value":"17 September 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 October 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}