{"id":"https://openalex.org/W2022872382","doi":"https://doi.org/10.1109/tip.2013.2278461","title":"Feature Adaptive Co-Segmentation by Complexity Awareness","display_name":"Feature Adaptive Co-Segmentation by Complexity Awareness","publication_year":2013,"publication_date":"2013-09-26","ids":{"openalex":"https://openalex.org/W2022872382","doi":"https://doi.org/10.1109/tip.2013.2278461","mag":"2022872382","pmid":"https://pubmed.ncbi.nlm.nih.gov/23955762"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2013.2278461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2013.2278461","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/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":["Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"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/A5114378292","display_name":"Hongliang Li","orcid":"https://orcid.org/0000-0002-7481-095X"},"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":"Hongliang Li","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, 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, Chengdu, 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/A5062332580","display_name":"King Ngi Ngan","orcid":"https://orcid.org/0000-0003-1946-3235"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"King Ngi Ngan","raw_affiliation_strings":["Chinese University of Hong Kong, New Territories, HK","Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, New Territories, HK","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102918460","display_name":"Liaoyuan Zeng","orcid":"https://orcid.org/0000-0002-7524-5227"},"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":"Liaoyuan Zeng","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, 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, Chengdu, 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/A5075737786","display_name":"Qingbo Wu","orcid":"https://orcid.org/0000-0003-2936-6340"},"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":"Qingbo Wu","raw_affiliation_strings":["School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, 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, Chengdu, 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":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8226,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.9499026,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"12","first_page":"4809","last_page":"4824"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991000294685364,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991000294685364,"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":0.9990000128746033,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9990000128746033,"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":0.7857773900032043},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.7545979619026184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7135937809944153},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6787791848182678},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6371147632598877},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.6242425441741943},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5726604461669922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5726471543312073},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5059084296226501},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4443665146827698},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41531237959861755}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7857773900032043},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7545979619026184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7135937809944153},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6787791848182678},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6371147632598877},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.6242425441741943},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5726604461669922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5726471543312073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5059084296226501},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4443665146827698},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41531237959861755},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2013.2278461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2013.2278461","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:23955762","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23955762","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},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.706.3582","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.706.3582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.cuhk.edu.hk/%7Eknngan/2013/TIP_v22_n12_p4809-4824.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1499991161","https://openalex.org/W1635155787","https://openalex.org/W1919689106","https://openalex.org/W1963920598","https://openalex.org/W1964357740","https://openalex.org/W1964884769","https://openalex.org/W1970899458","https://openalex.org/W1978099323","https://openalex.org/W2003033789","https://openalex.org/W2003343330","https://openalex.org/W2008428344","https://openalex.org/W2027197817","https://openalex.org/W2028590536","https://openalex.org/W2029430517","https://openalex.org/W2037954058","https://openalex.org/W2061851712","https://openalex.org/W2064483851","https://openalex.org/W2086052791","https://openalex.org/W2088934589","https://openalex.org/W2108786732","https://openalex.org/W2112553126","https://openalex.org/W2115560616","https://openalex.org/W2116040950","https://openalex.org/W2116046277","https://openalex.org/W2118802082","https://openalex.org/W2119862467","https://openalex.org/W2122825543","https://openalex.org/W2125436763","https://openalex.org/W2125637308","https://openalex.org/W2127691749","https://openalex.org/W2128715914","https://openalex.org/W2128742365","https://openalex.org/W2129260071","https://openalex.org/W2129812935","https://openalex.org/W2133275904","https://openalex.org/W2135046866","https://openalex.org/W2141303268","https://openalex.org/W2151103935","https://openalex.org/W2153760331","https://openalex.org/W2154683974","https://openalex.org/W2157244733","https://openalex.org/W2159667662","https://openalex.org/W2160847065","https://openalex.org/W2162915993","https://openalex.org/W2163594073","https://openalex.org/W2165414070","https://openalex.org/W2167499379","https://openalex.org/W2169551590","https://openalex.org/W2295160225","https://openalex.org/W2606668424","https://openalex.org/W3022380717","https://openalex.org/W4212863985","https://openalex.org/W6629803217","https://openalex.org/W6636881579","https://openalex.org/W6639956668","https://openalex.org/W6642933618","https://openalex.org/W6651233513","https://openalex.org/W6683503619"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2785294226","https://openalex.org/W1999008862","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2551987074"],"abstract_inverted_index":{"In":[0,35],"this":[1],"paper,":[2],"we":[3],"propose":[4,27],"a":[5],"novel":[6],"feature":[7,33],"adaptive":[8,14,32,74],"co-segmentation":[9,114,133],"method":[10],"that":[11,50],"can":[12],"learn":[13,72],"features":[15],"of":[16,65,92,95,104,111],"different":[17,121],"image":[18,28,48,98,122],"groups":[19,123],"for":[20,31],"accurate":[21],"common":[22],"objects":[23],"segmentation.":[24],"We":[25],"also":[26],"complexity":[29],"awareness":[30],"learning.":[34],"the":[36,39,47,62,66,73,90,93,96,102,105,112,118,130],"proposed":[37],"method,":[38],"original":[40],"images":[41,68],"are":[42,51,69,77],"first":[43],"ranked":[44],"according":[45],"to":[46,71,126],"complexities":[49],"measured":[52],"by":[53,117],"superpixel":[54],"changing":[55],"cue":[56],"and":[57,101,124],"object":[58],"detection":[59],"cue.":[60],"Then,":[61],"unsupervised":[63],"segments":[64],"simple":[67,97],"used":[70],"features,":[75],"which":[76],"achieved":[78],"using":[79],"an":[80],"expectation-minimization":[81],"algorithm":[82],"combining":[83],"l":[84],"1-regularized":[85],"least":[86],"squares":[87],"optimization":[88],"with":[89],"consideration":[91],"confidence":[94],"segmentation":[99],"accuracies":[100],"fitness":[103],"learned":[106],"model.":[107],"The":[108],"error":[109],"rate":[110],"final":[113],"is":[115],"tested":[116],"experiments":[119],"on":[120],"verified":[125],"be":[127],"lower":[128],"than":[129],"existing":[131],"state-of-the-art":[132],"methods.":[134]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}