{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T16:31:25Z","timestamp":1772901085980,"version":"3.50.1"},"reference-count":59,"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":"am","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":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61332018"],"award-info":[{"award-number":["61332018"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"crossref","award":["2015CB351705"],"award-info":[{"award-number":["2015CB351705"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1149783"],"award-info":[{"award-number":["1149783"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Adobe"},{"DOI":"10.13039\/100007065","name":"Nvidia","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-16-1-2314"],"award-info":[{"award-number":["N00014-16-1-2314"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/tip.2018.2836300","type":"journal-article","created":{"date-parts":[[2018,5,16]],"date-time":"2018-05-16T19:05:38Z","timestamp":1526497538000},"page":"4838-4849","source":"Crossref","is-referenced-by-count":100,"title":["Superpixel Hierarchy"],"prefix":"10.1109","volume":"27","author":[{"given":"Xing","family":"Wei","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4378-2335","authenticated-orcid":false,"given":"Qingxiong","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Yihong","family":"Gong","sequence":"additional","affiliation":[]},{"given":"Narendra","family":"Ahuja","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4848-2304","authenticated-orcid":false,"given":"Ming-Hsuan","family":"Yang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/34.87344"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88693-8_52"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238308"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2015.148"},{"key":"ref31","first-page":"648","article-title":"Learning to agglomerate superpixel hierarchies","author":"jain","year":"2011","journal-title":"Proc NIPS"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15555-0_16"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.96"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/34.1000236"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/34.868688"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.49"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2299809"},{"key":"ref29","first-page":"1030","article-title":"Recognition using regions","author":"gu","year":"2009","journal-title":"Proc CVPR"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/11744023_1"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.161"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.47"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-008-0202-0"},{"key":"ref21","first-page":"1","article-title":"Superpixel benchmark and comparison","author":"neubert","year":"2012","journal-title":"Proc Forum Bildverarbeitung"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.271"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.153"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587626"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12307-8_12"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126343"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.256"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_34"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2291328"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2353642"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.5244\/C.21.55"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.407"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540048"},{"key":"ref52","first-page":"584","article-title":"Discriminatively trained sparse code gradients for contour detection","author":"ren","year":"2012","journal-title":"Proc NIPS"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33786-4_2"},{"key":"ref11","first-page":"1356","article-title":"Superpixel segmentation using linear spectral clustering","author":"li","year":"2015","journal-title":"Proc CVPR"},{"key":"ref40","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","author":"ester","year":"1996","journal-title":"Proc KDD"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.43"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587471"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.187"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298913"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2616302"},{"key":"ref17","first-page":"1502","article-title":"A simple algorithm of superpixel segmentation with boundary constraint","volume":"27","author":"zhang","year":"2017","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"ref18","first-page":"2117","article-title":"&#x2018;Lattice cut&#x2019;&#x2014;Constructing superpixels using layer constraints","author":"moore","year":"2010","journal-title":"Proc CVPR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.24"},{"key":"ref4","first-page":"110","article-title":"Saliency detection via cellular automata","author":"qin","year":"2015","journal-title":"Proc CVPR"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-008-0140-x"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995323"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000022288.19776.77"},{"key":"ref8","author":"scharstein","year":"2016","journal-title":"Middlebury stereo datasets"},{"key":"ref7","first-page":"1402","article-title":"A non-local cost aggregation method for stereo matching","author":"yang","year":"2012","journal-title":"Proc CVPR"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.120"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.231"},{"key":"ref45","author":"cormen","year":"2001","journal-title":"Introduction to Algorithms"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.28"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.164"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2043008"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/83.841934"},{"key":"ref44","first-page":"315","article-title":"Two linear time algorithms for MST on minor closed graph classes","volume":"40","author":"mare\u0161","year":"2004","journal-title":"Arch Math"},{"key":"ref43","author":"west","year":"2001","journal-title":"Introduction to Graph Theory"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielaam\/83\/8396881\/8360136-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8396881\/08360136.pdf?arnumber=8360136","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T18:48:25Z","timestamp":1649443705000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8360136\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":59,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tip.2018.2836300","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10]]}}}