{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T16:29:52Z","timestamp":1778257792120,"version":"3.51.4"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"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":["U21B2045"],"award-info":[{"award-number":["U21B2045"]}],"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":["U20A20223"],"award-info":[{"award-number":["U20A20223"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005090","name":"Beijing Nova","doi-asserted-by":"publisher","award":["Z211100002121106"],"award-info":[{"award-number":["Z211100002121106"]}],"id":[{"id":"10.13039\/501100005090","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1109\/tnnls.2022.3151787","type":"journal-article","created":{"date-parts":[[2022,3,4]],"date-time":"2022-03-04T20:20:58Z","timestamp":1646425258000},"page":"8654-8668","source":"Crossref","is-referenced-by-count":14,"title":["Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0513-138X","authenticated-orcid":false,"given":"Gengyun","family":"Jia","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peipei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3807-991X","authenticated-orcid":false,"given":"Ran","family":"He","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2008.4711702"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.84"},{"key":"ref56","year":"2021","journal-title":"Challenge History"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-73603-7_22"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/IPTA.2018.8608132"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_40"},{"key":"ref53","first-page":"379","article-title":"R-FCN: Object detection via region-based fully convolutional networks","author":"dai","year":"2016","journal-title":"Proc Adv Neural Inf Process Dystems"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.119"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00644"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247954"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2875357"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05710-7_30"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3024207"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532767"},{"key":"ref50","first-page":"225","article-title":"Learning to predict the perceived visual quality of photos","author":"wu","year":"2011","journal-title":"Proc Int Conf Comput Vis"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240554"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00234"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01412"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.60"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-14442-9_57"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2015.7351067"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2651399"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2479916"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2968285"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874089"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1873990"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2013.2269899"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2072298.2071977"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995467"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2477040"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126444"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3050065"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33012506"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-05224-8_11"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1006\/jcss.1997.1504"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011139631724"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88690-7_29"},{"key":"ref2","first-page":"419","article-title":"The design of high-level features for photo quality assessment","volume":"1","author":"ke","year":"2006","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240531"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654927"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108465"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11286"},{"key":"ref23","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00960"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2016.05.004"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6889"},{"key":"ref22","year":"2021","journal-title":"Voting Guidelines"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.76"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2831899"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00128"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2911428"},{"key":"ref60","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018","journal-title":"arXiv 1810 04805"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-demos.6"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10299535\/09728735.pdf?arnumber=9728735","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T19:28:08Z","timestamp":1700508488000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9728735\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11]]},"references-count":61,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2022.3151787","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11]]}}}