{"id":"https://openalex.org/W2084321024","doi":"https://doi.org/10.1109/vcip.2013.6706376","title":"Object co-segmentation based on directed graph clustering","display_name":"Object co-segmentation based on directed graph clustering","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2084321024","doi":"https://doi.org/10.1109/vcip.2013.6706376","mag":"2084321024"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2013.6706376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2013.6706376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-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/A5100617043","display_name":"Fanman Meng","orcid":"https://orcid.org/0000-0002-3016-2567"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanman Meng","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Cheng Du, China","Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Cheng Du, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063517725","display_name":"Bing Luo","orcid":"https://orcid.org/0000-0002-5686-4946"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Luo","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Cheng Du, China","Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Cheng Du, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081848769","display_name":"Chao Huang","orcid":"https://orcid.org/0000-0003-3023-4388"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Huang","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Cheng Du, China","Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, University of Electronic Science and Technology of China, Cheng Du, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.8288,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7763051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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":0.998199999332428,"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":0.9947999715805054,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7163391709327698},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6982187032699585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6655409336090088},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.634167492389679},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6235761046409607},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6059133410453796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6019107699394226},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.5654212832450867},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4861180782318115},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4701519012451172},{"id":"https://openalex.org/keywords/unary-operation","display_name":"Unary operation","score":0.43008726835250854},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.41961869597435},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.39698535203933716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3287232518196106},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1087539792060852},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.08289861679077148},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07491415739059448}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7163391709327698},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6982187032699585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6655409336090088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.634167492389679},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6235761046409607},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6059133410453796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6019107699394226},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5654212832450867},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4861180782318115},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4701519012451172},{"id":"https://openalex.org/C78023250","wikidata":"https://www.wikidata.org/wiki/Q657596","display_name":"Unary operation","level":2,"score":0.43008726835250854},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.41961869597435},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.39698535203933716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3287232518196106},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1087539792060852},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.08289861679077148},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07491415739059448}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2013.6706376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2013.6706376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1736339626","https://openalex.org/W1963920598","https://openalex.org/W1964884769","https://openalex.org/W1968731684","https://openalex.org/W1970899458","https://openalex.org/W1986228547","https://openalex.org/W2011811856","https://openalex.org/W2028590536","https://openalex.org/W2029430517","https://openalex.org/W2037954058","https://openalex.org/W2086052791","https://openalex.org/W2097922870","https://openalex.org/W2112553126","https://openalex.org/W2160598888","https://openalex.org/W2166655058","https://openalex.org/W2167499379","https://openalex.org/W2229419338","https://openalex.org/W2585858557","https://openalex.org/W6641071881","https://openalex.org/W6642340321","https://openalex.org/W6642933618","https://openalex.org/W6674934797","https://openalex.org/W6689283729"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W1998076850","https://openalex.org/W2092484105","https://openalex.org/W2169551590","https://openalex.org/W2354401560","https://openalex.org/W2184016944","https://openalex.org/W2088651901","https://openalex.org/W2897997384","https://openalex.org/W1980246618"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,74],"develop":[4],"a":[5,14],"new":[6],"algorithm":[7],"to":[8,34],"segment":[9,89],"multiple":[10],"common":[11,63,91],"objects":[12,64,92],"from":[13,48,65],"group":[15],"of":[16,21,39,57,70,83],"images.":[17],"Our":[18],"method":[19,99,112],"consists":[20],"two":[22],"aspects:":[23],"directed":[24],"graph":[25],"clustering":[26,31],"and":[27,43,60,88,102],"prior":[28,56],"propagation.":[29],"The":[30,51,105],"is":[32],"used":[33],"cluster":[35],"the":[36,40,45,55,62,66,76,80,90,110],"local":[37],"regions":[38],"original":[41],"images":[42,67],"generate":[44],"foreground":[46,71,77],"priors":[47],"these":[49],"clusterings.":[50],"second":[52],"step":[53],"propagates":[54],"each":[58],"class":[59],"locates":[61],"in":[68],"terms":[69],"map.":[72],"Finally,":[73],"use":[75],"map":[78],"as":[79],"unary":[81],"term":[82],"Markov":[84],"random":[85],"field":[86],"segmentation":[87],"by":[93],"graph-cuts":[94],"algorithm.":[95],"We":[96],"test":[97],"our":[98],"on":[100],"FlickrMFC":[101],"ICoseg":[103],"datasets.":[104],"experimental":[106],"results":[107],"show":[108],"that":[109],"proposed":[111],"can":[113],"achieve":[114],"larger":[115],"accuracy":[116],"compared":[117],"with":[118],"several":[119],"state-of-arts":[120],"co-segmentation":[121],"methods.":[122]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
