{"id":"https://openalex.org/W2024443272","doi":"https://doi.org/10.1109/tip.2014.2378060","title":"JF-Cut: A Parallel Graph Cut Approach for Large-Scale Image and Video","display_name":"JF-Cut: A Parallel Graph Cut Approach for Large-Scale Image and Video","publication_year":2014,"publication_date":"2014-12-04","ids":{"openalex":"https://openalex.org/W2024443272","doi":"https://doi.org/10.1109/tip.2014.2378060","mag":"2024443272","pmid":"https://pubmed.ncbi.nlm.nih.gov/25494510"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2014.2378060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2378060","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101510538","display_name":"Yi Peng","orcid":"https://orcid.org/0000-0001-5171-4992"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Peng","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379176","display_name":"Li Chen","orcid":"https://orcid.org/0000-0001-7836-4849"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Chen","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China","School of Software, Tsinghua University Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Software, Tsinghua University Beijing China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108824539","display_name":"Fangxin Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang-Xin Ou-Yang","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China","School of Software, Tsinghua University Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Software, Tsinghua University Beijing China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100866391","display_name":"Wei Chen","orcid":"https://orcid.org/0009-0006-9217-2046"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["State Key Laboratory of Computer Aided Design and Computer Graphics, Zhejiang University, Hangzhou, China","State Key Laboratory of Computer Aided Design and Computer Graphics, Zhejiang University, Hangzhou, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Computer Aided Design and Computer Graphics, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"State Key Laboratory of Computer Aided Design and Computer Graphics, Zhejiang University, Hangzhou, China#TAB#","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080894318","display_name":"Jun\u2010Hai Yong","orcid":"https://orcid.org/0000-0002-4326-4167"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Hai Yong","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China","School of Software, Tsinghua University Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Software, Tsinghua University Beijing China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9704,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.79578009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":"2","first_page":"655","last_page":"666"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.8257330060005188},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7444921731948853},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5811600685119629},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5056600570678711},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4734741449356079},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4686671495437622},{"id":"https://openalex.org/keywords/parallelizable-manifold","display_name":"Parallelizable manifold","score":0.4651511609554291},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4600825607776642},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.42639389634132385},{"id":"https://openalex.org/keywords/graph-traversal","display_name":"Graph traversal","score":0.4200182259082794},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.41299548745155334},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30451613664627075},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.2818491756916046},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2710886597633362}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8257330060005188},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7444921731948853},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5811600685119629},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5056600570678711},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4734741449356079},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4686671495437622},{"id":"https://openalex.org/C148047603","wikidata":"https://www.wikidata.org/wiki/Q1014612","display_name":"Parallelizable manifold","level":2,"score":0.4651511609554291},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4600825607776642},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.42639389634132385},{"id":"https://openalex.org/C96333769","wikidata":"https://www.wikidata.org/wiki/Q907955","display_name":"Graph traversal","level":3,"score":0.4200182259082794},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.41299548745155334},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30451613664627075},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2818491756916046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2710886597633362},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2014.2378060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2378060","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:25494510","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25494510","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1962991107","display_name":null,"funder_award_id":"91315302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5519262837","display_name":null,"funder_award_id":"61232012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6566329992","display_name":"\u4e09\u7ef4\u9885\u988c\u9762\u624b\u672f\u8bbe\u8ba1\u7cfb\u7edf\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61272225","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7863627079","display_name":"\u5177\u6709\u4e30\u5bcc\u8868\u8fbe\u6027\u548c\u9ad8\u5ea6\u56fe\u793a\u6027\u7684\u77e2\u91cf\u573a\u7279\u5f81\u53ef\u89c6\u5316\u7b97\u6cd5\u7814\u7a76","funder_award_id":"60773143","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1585998662","https://openalex.org/W1675130169","https://openalex.org/W1685122025","https://openalex.org/W1983383464","https://openalex.org/W1987089349","https://openalex.org/W2029393506","https://openalex.org/W2054867510","https://openalex.org/W2058328643","https://openalex.org/W2061702899","https://openalex.org/W2087490509","https://openalex.org/W2090359754","https://openalex.org/W2104441030","https://openalex.org/W2109845109","https://openalex.org/W2113137767","https://openalex.org/W2117435890","https://openalex.org/W2124351162","https://openalex.org/W2134560790","https://openalex.org/W2152935971","https://openalex.org/W2155852554","https://openalex.org/W2162707967","https://openalex.org/W2169499040","https://openalex.org/W2294819727","https://openalex.org/W3014094413","https://openalex.org/W4206461345","https://openalex.org/W4234235766","https://openalex.org/W4255379306","https://openalex.org/W6672046219"],"related_works":["https://openalex.org/W4285069850","https://openalex.org/W2891970004","https://openalex.org/W4240963716","https://openalex.org/W1974634278","https://openalex.org/W1996916724","https://openalex.org/W1596637634","https://openalex.org/W1500978221","https://openalex.org/W2046419983","https://openalex.org/W2560457102","https://openalex.org/W2582141005"],"abstract_inverted_index":{"Graph":[0],"cut":[1],"has":[2],"proven":[3],"to":[4,9,89,152,160],"be":[5],"an":[6,85,126],"effective":[7],"scheme":[8,88],"solve":[10],"a":[11,73,79,144,175],"wide":[12],"variety":[13,145],"of":[14,25,40,57,117,136,146],"segmentation":[15],"problems":[16,56],"in":[17,115,134],"vision":[18],"and":[19,84,99,109,122,168,174],"graphics":[20],"community.":[21],"The":[22,102],"main":[23],"limitation":[24],"conventional":[26,181],"graph-cut":[27,75,92],"implementations":[28,114],"is":[29,105],"that":[30,77],"they":[31,51],"can":[32],"hardly":[33],"handle":[34],"large":[35],"images":[36,150],"or":[37,62],"videos":[38,158],"because":[39],"high":[41],"computational":[42],"complexity.":[43],"Even":[44],"though":[45],"there":[46],"are":[47],"some":[48],"parallelization":[49],"solutions,":[50],"commonly":[52],"suffer":[53],"from":[54],"the":[55,91,111],"low":[58,63],"parallelism":[59],"(on":[60,66],"CPU)":[61],"convergence":[64,97],"speed":[65],"GPU).":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"present":[72],"novel":[74],"algorithm":[76],"leverages":[78],"parallelized":[80],"jump":[81],"flooding":[82],"technique":[83],"heuristic":[86],"push-relabel":[87],"enhance":[90],"process,":[93],"namely,":[94],"back-and-forth":[95],"relabel,":[96],"detection,":[98],"block-wise":[100],"push-relabel.":[101],"entire":[103],"process":[104],"parallelizable":[106],"on":[107,143],"GPU,":[108],"outperforms":[110],"existing":[112],"GPU-based":[113],"terms":[116],"global":[118],"convergence,":[119],"information":[120],"propagation,":[121],"performance.":[123],"We":[124],"design":[125],"intuitive":[127],"user":[128],"interface":[129],"for":[130],"specifying":[131],"interested":[132],"regions":[133],"cases":[135],"occlusions":[137],"when":[138],"handling":[139],"video":[140],"sequences.":[141],"Experiments":[142],"data":[147],"sets,":[148],"including":[149],"(up":[151,159],"15":[153],"K":[154,162,165],"\u00d7":[155,163,166],"10":[156],"K),":[157],"2.5":[161],"1.5":[164],"50),":[167],"volumetric":[169],"data,":[170],"achieve":[171],"high-quality":[172],"results":[173],"maximum":[176],"40-fold":[177],"(139-fold)":[178],"speedup":[179],"over":[180],"GPU":[182],"(CPU-)-based":[183],"approaches.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
