{"id":"https://openalex.org/W2947339728","doi":"https://doi.org/10.1109/tcsvt.2019.2919482","title":"Superpixel Labeling Priors and MRF for Aerial Video Segmentation","display_name":"Superpixel Labeling Priors and MRF for Aerial Video Segmentation","publication_year":2019,"publication_date":"2019-05-27","ids":{"openalex":"https://openalex.org/W2947339728","doi":"https://doi.org/10.1109/tcsvt.2019.2919482","mag":"2947339728"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2019.2919482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2919482","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100367907","display_name":"Yufeng Wang","orcid":"https://orcid.org/0000-0001-8713-3153"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yufeng Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024501453","display_name":"Wenrui Ding","orcid":"https://orcid.org/0000-0001-5490-4724"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenrui Ding","raw_affiliation_strings":["Unmanned Systems Research Institute, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Unmanned Systems Research Institute, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015525872","display_name":"Baochang Zhang","orcid":"https://orcid.org/0000-0001-7396-6218"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]},{"id":"https://openalex.org/I4210159500","display_name":"Shenzhen Academy of Aerospace Technology","ror":"https://ror.org/05etzsm06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210159500"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baochang Zhang","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","Shenzhen Academy of Aerospace Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Shenzhen Academy of Aerospace Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210159500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101914194","display_name":"Hongguang Li","orcid":"https://orcid.org/0000-0002-9386-8137"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongguang Li","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","Unmanned Systems Research Institute, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Unmanned Systems Research Institute, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100435107","display_name":"Shuo Liu","orcid":"https://orcid.org/0000-0002-4465-7659"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Liu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100367907"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.8098,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.76683598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"30","issue":"8","first_page":"2590","last_page":"2603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.820919394493103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7365562915802002},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.7331496477127075},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6943967342376709},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6728411912918091},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6691610813140869},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5942118763923645},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4775603413581848},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4292870759963989},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.23585712909698486}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.820919394493103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7365562915802002},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7331496477127075},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6943967342376709},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6728411912918091},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6691610813140869},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5942118763923645},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4775603413581848},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4292870759963989},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.23585712909698486}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2019.2919482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2919482","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3038207137","display_name":null,"funder_award_id":"61672079","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5705774860","display_name":null,"funder_award_id":"61601014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W9488150","https://openalex.org/W159595522","https://openalex.org/W312773032","https://openalex.org/W1500853963","https://openalex.org/W1932446064","https://openalex.org/W1954128991","https://openalex.org/W1955404912","https://openalex.org/W1963444694","https://openalex.org/W1976047850","https://openalex.org/W1976569972","https://openalex.org/W1994356125","https://openalex.org/W2024938892","https://openalex.org/W2028204211","https://openalex.org/W2030346542","https://openalex.org/W2039125691","https://openalex.org/W2067191022","https://openalex.org/W2068649797","https://openalex.org/W2083257926","https://openalex.org/W2090518410","https://openalex.org/W2096979710","https://openalex.org/W2099814188","https://openalex.org/W2110158442","https://openalex.org/W2113221323","https://openalex.org/W2120137759","https://openalex.org/W2126164636","https://openalex.org/W2128715362","https://openalex.org/W2136786668","https://openalex.org/W2142996775","https://openalex.org/W2143516773","https://openalex.org/W2147393230","https://openalex.org/W2160410228","https://openalex.org/W2163815613","https://openalex.org/W2172249719","https://openalex.org/W2205583023","https://openalex.org/W2212077366","https://openalex.org/W2220927421","https://openalex.org/W2251608823","https://openalex.org/W2469938794","https://openalex.org/W2470139095","https://openalex.org/W2498644384","https://openalex.org/W2520151245","https://openalex.org/W2550421111","https://openalex.org/W2611839139","https://openalex.org/W2618943282","https://openalex.org/W2738237096","https://openalex.org/W2765908332","https://openalex.org/W3103236591","https://openalex.org/W4251718368","https://openalex.org/W4253153980","https://openalex.org/W6629780553","https://openalex.org/W6640971398"],"related_works":["https://openalex.org/W4233585817","https://openalex.org/W1522196789","https://openalex.org/W2016045932","https://openalex.org/W1675950995","https://openalex.org/W2188882668","https://openalex.org/W2088323302","https://openalex.org/W2004379491","https://openalex.org/W2021544484","https://openalex.org/W2083140487","https://openalex.org/W1995025910"],"abstract_inverted_index":{"Video":[0],"segmentation":[1,81,136,150],"is":[2,19,40,121],"a":[3,28,55,88,117],"task":[4],"of":[5,31,82,133],"partitioning":[6],"pixels":[7],"that":[8,142],"exhibit":[9],"homogeneous":[10],"appearance":[11],"and":[12,35,95,123],"motion":[13,65],"into":[14,79],"coherent":[15],"spatial-temporal":[16],"groups,":[17],"which":[18],"still":[20],"challenging":[21],"for":[22,42],"aerial":[23,43,134],"applications.":[24],"In":[25,115],"this":[26],"paper,":[27],"principled":[29],"combination":[30],"superpixel":[32,71],"labeling":[33,72,108],"priors":[34,73,109],"Markov":[36],"random":[37],"field":[38],"(S-MRF)":[39],"proposed":[41,47,144],"video":[44,119,135,149],"segmentation.":[45],"The":[46,138],"approach":[48,145],"has":[49],"several":[50],"contributions:":[51],"1)":[52],"we":[53,97],"develop":[54],"metadata-based":[56],"global":[57],"projection":[58],"model":[59],"with":[60,106],"coordinate":[61],"transformation":[62],"to":[63,87,110,129],"estimate":[64],"information":[66],"between":[67],"frames;":[68],"2)":[69],"the":[70,80,83,103,112,131,143,147],"from":[74],"previous":[75],"frames":[76],"are":[77],"incorporated":[78],"current":[84],"frame,":[85],"leading":[86],"highly":[89],"efficient":[90],"probabilistic":[91],"label":[92],"propagation":[93],"algorithm;":[94],"3)":[96],"perform":[98],"an":[99],"MRF":[100],"optimization":[101],"on":[102],"initial":[104],"segments":[105],"propagated":[107],"improve":[111],"temporal":[113],"coherency.":[114],"addition,":[116],"new":[118],"dataset":[120],"collected":[122],"will":[124],"be":[125],"made":[126],"publicly":[127],"available":[128],"evaluate":[130],"performance":[132],"algorithms.":[137],"experimental":[139],"results":[140],"show":[141],"outperforms":[146],"state-of-the-art":[148],"methods.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}