{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T17:48:43Z","timestamp":1772905723722,"version":"3.50.1"},"reference-count":75,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61876013"],"award-info":[{"award-number":["61876013"]}],"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":["61922009"],"award-info":[{"award-number":["61922009"]}],"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":["61573037"],"award-info":[{"award-number":["61573037"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tmm.2020.2987682","type":"journal-article","created":{"date-parts":[[2020,4,20]],"date-time":"2020-04-20T19:42:57Z","timestamp":1587411777000},"page":"748-760","source":"Crossref","is-referenced-by-count":54,"title":["Viewport-Dependent Saliency Prediction in 360\u00b0 Video"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9591-2568","authenticated-orcid":false,"given":"Minglang","family":"Qiao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0277-3301","authenticated-orcid":false,"given":"Mai","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zulin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8198-0335","authenticated-orcid":false,"given":"Ali","family":"Borji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.30"},{"key":"ref72","first-page":"3","article-title":"Snap angle prediction for 360 panorama","author":"xiong","year":"0","journal-title":"Proc Eur Conf Comput Vision (ECCV)"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2793599"},{"key":"ref70","article-title":"YOLOv3: An incremental improvement","volume":"abs 1804 2767","author":"redmon","year":"2018","journal-title":"CoRR"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2815601"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2851389"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2886277"},{"key":"ref38","first-page":"274","article-title":"An integrated model for effective saliency prediction","author":"sun","year":"0","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.445"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247706"},{"key":"ref31","first-page":"241","article-title":"Predicting human gaze using low-level saliency combined with face detection","author":"cerf","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref30","first-page":"155","article-title":"Saliency based on information maximization","author":"bruce","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2710620"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025223"},{"key":"ref35","first-page":"1063","article-title":"Video saliency detection via dynamic consistent spatio-temporal attention modelling","author":"zhong","year":"0","journal-title":"Proc 27th AAAI Conf Artif Intell"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1117\/12.512618"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2018.03.007"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240669"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2018.03.006"},{"key":"ref63","first-page":"504","article-title":"Saliency detection in $\\text{360}^{\\circ }$ videos","author":"zhang","year":"0","journal-title":"Proc Eur Conf Comput Vision"},{"key":"ref28","first-page":"545","article-title":"Graph-based visual saliency","author":"harel","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/3083165.3083180"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.399"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2017.8026231"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/34.400568"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(99)00077-2"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1145\/2072298.2072347"},{"key":"ref68","first-page":"3224","article-title":"Predicting salient face in multipleface videos","author":"liu","year":"0","journal-title":"Proc Conf Comput Vis and Pattern Recog"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2480683"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459462"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(99)00163-7"},{"key":"ref20","first-page":"10\ufffd177","article-title":"Viewport proposal CNN for 360deg video quality assessment","author":"li","year":"0","journal-title":"Proc IEEE Conf Comput Vision Pattern Recognit"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2721544"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2282897"},{"key":"ref24","first-page":"481","article-title":"Discriminant saliency for visual recognition from cluttered scenes","author":"gao","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2013.2267205"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00559"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858783"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_28"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_12"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2018.05.005"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2018.00358"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2018.05.010"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00154"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_46"},{"key":"ref54","first-page":"613","article-title":"Generating videos with scene dynamics","author":"vondrick","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.377"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2017.XIII.012"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-009-3833-5_5"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/34.730558"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2011.2169775"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/0010-0285(80)90005-5"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1167\/13.4.11"},{"key":"ref14","first-page":"1","article-title":"SalGAN: Visual saliency prediction with generative adversarial networks","author":"pan","year":"0","journal-title":"Proc Conf Comput Vision Pattern Recognit Scene Understanding Workshop"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_37"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.71"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00514"},{"key":"ref18","first-page":"362","article-title":"Predicting eye fixations using convolutional neural networks","author":"liu","year":"0","journal-title":"Proc IEEE Conf Comput Vision Pattern Recognit"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240581"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2851672"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.38"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299189"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2473844"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.89"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2628583"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2523339"},{"key":"ref9","first-page":"1","article-title":"Saliency prediction in the deep learning era: Successes and Limitations","author":"borji","year":"2018","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref46","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","author":"xingjian","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2777665"},{"key":"ref48","first-page":"422","article-title":"3D social saliency from head-mounted cameras","author":"park","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.87"},{"key":"ref42","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0","journal-title":"Proc 3rd Int Conf Learn Representations"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/543"},{"key":"ref44","first-page":"1","article-title":"Deep learning for saliency prediction in natural video","author":"chaabouni","year":"2016"},{"key":"ref43","article-title":"Two-stream convolutional networks for dynamic saliency prediction","volume":"abs 1607 4730","author":"bak","year":"2016","journal-title":"CoRR"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/9296985\/09072511.pdf?arnumber=9072511","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:51:36Z","timestamp":1652194296000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9072511\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":75,"URL":"https:\/\/doi.org\/10.1109\/tmm.2020.2987682","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}