{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T08:31:21Z","timestamp":1770107481134,"version":"3.49.0"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Basic Research Program (973 Program) of China","award":["2013CB329403"],"award-info":[{"award-number":["2013CB329403"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61332007"],"award-info":[{"award-number":["61332007"]}],"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":["91420201"],"award-info":[{"award-number":["91420201"]}],"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":["61620106010"],"award-info":[{"award-number":["61620106010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/tcsvt.2017.2710345","type":"journal-article","created":{"date-parts":[[2017,6,1]],"date-time":"2017-06-01T14:08:44Z","timestamp":1496326124000},"page":"2716-2729","source":"Crossref","is-referenced-by-count":20,"title":["Scalable Discrete Supervised Multimedia Hash Learning With Clustering"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8305-9566","authenticated-orcid":false,"given":"Shifeng","family":"Zhang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Intelligent Technology and Systems, TNList, Department of Computer Science and Technology, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4937-2433","authenticated-orcid":false,"given":"Jianmin","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Intelligent Technology and Systems, TNList, Department of Computer Science and Technology, Tsinghua University, Beijing, China"}]},{"given":"Mengqing","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Software, Tsinghua University, Beijing, China"}]},{"given":"Peijiang","family":"Yuan","sequence":"additional","affiliation":[{"name":"Intelligent Technology and Robotics Research Center, Beihang University, Beijing, China"}]},{"given":"Bo","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Intelligent Technology and Systems, TNList, Department of Computer Science and Technology, Tsinghua University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref38","author":"simonyan","year":"2014","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_2"},{"key":"ref32","first-page":"568","article-title":"Two-stream convolutional networks for action recognition in videos","author":"simonyan","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2964308"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.282"},{"key":"ref37","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2676345"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.317"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0184"},{"key":"ref60","author":"soomro","year":"2012","journal-title":"Ucf101 A Dataset of 101 Human Actions Classes from Videos in the Wild"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609600"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-31753-3_19"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298947"},{"key":"ref29","first-page":"2415","article-title":"Deep hashing network for efficient similarity retrieval","author":"zhu","year":"2016","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref2","first-page":"2074","article-title":"Supervised hashing with kernels","author":"liu","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref1","first-page":"2672","article-title":"Hashing algorithms for large-scale learning","author":"li","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298598"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2612883"},{"key":"ref21","first-page":"640","article-title":"Optimizing affinity-based binary hashing using auxiliary coordinates","author":"raziperchikolaei","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","first-page":"7","article-title":"Large-scale supervised multimodal hashing with semantic correlation maximization","author":"zhang","year":"2014","journal-title":"Proc AAAI"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2467315"},{"key":"ref25","author":"liu","year":"2016","journal-title":"Supervised matrix factorization for cross-modality hashing"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.213"},{"key":"ref51","article-title":"New results on some quadratic programming problems","author":"yang","year":"2013"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646452"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.267"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/2072298.2072354"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299011"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.514"},{"key":"ref53","first-page":"1232","article-title":"Improved Nyström low-rank approximation and error analysis","author":"zhang","year":"2008","journal-title":"Proc 25th Int Conf Mach Learn"},{"key":"ref52","first-page":"1230","article-title":"Column sampling based discrete supervised hashing","author":"kang","year":"2016","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.119"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772759"},{"key":"ref40","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","first-page":"1753","article-title":"Spectral hashing","author":"weiss","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.193"},{"key":"ref14","first-page":"1","article-title":"Hashing with graphs","author":"liu","year":"2011","journal-title":"Proc 28th Int Conf Mach Learn (ICML)"},{"key":"ref15","first-page":"1646","article-title":"Isotropic hashing","author":"kong","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref16","first-page":"3419","article-title":"Discrete graph hashing","author":"liu","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref17","first-page":"1042","article-title":"Learning to hash with binary reconstructive embeddings","author":"kulis","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref18","first-page":"353","article-title":"Minimal loss hashing for compact binary codes","author":"norouzi","year":"2011","journal-title":"Proc 28th Int Conf Mach Learn (ICML)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.253"},{"key":"ref4","first-page":"2571","article-title":"Sign cauchy projections and chi-square kernel","author":"li","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref3","first-page":"518","article-title":"Similarity search in high dimensions via hashing","volume":"99","author":"gionis","year":"1999","journal-title":"VLDB"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2967225"},{"key":"ref5","first-page":"2156","article-title":"Supervised hashing for image retrieval via image representation learning","author":"xia","year":"2014","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/509961.509965"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/997817.997857"},{"key":"ref49","author":"wang","year":"2015","journal-title":"Towards good practices for very deep two-stream convnets"},{"key":"ref9","first-page":"327","article-title":"Min-wise independent permutations","author":"broder","year":"1998","journal-title":"Proc 13th Annu ACM Symp Theory Comput"},{"key":"ref46","first-page":"843","article-title":"Unsupervised learning of video representations using LSTMs","author":"srivastava","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.227"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654948"},{"key":"ref44","first-page":"2475","article-title":"Deep hashing for compact binary codes learning","author":"erin liong","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.641"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/8506638\/07937842.pdf?arnumber=7937842","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T20:46:20Z","timestamp":1770065180000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7937842\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":62,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2017.2710345","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10]]}}}