{"id":"https://openalex.org/W379574788","doi":"https://doi.org/10.1109/icip.2015.7350970","title":"Salient object detection using normalized cut and geodesics","display_name":"Salient object detection using normalized cut and geodesics","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W379574788","doi":"https://doi.org/10.1109/icip.2015.7350970","mag":"379574788"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7350970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5042631401","display_name":"Keren Fu","orcid":"https://orcid.org/0000-0002-3195-2077"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN","SE"],"is_corresponding":true,"raw_author_name":"Keren Fu","raw_affiliation_strings":["Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden","Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030222911","display_name":"Chen Gong","orcid":"https://orcid.org/0000-0002-4092-9856"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Gong","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, CN"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, CN","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044267089","display_name":"Irene Yu\u2010Hua Gu","orcid":"https://orcid.org/0000-0003-4759-7038"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Irene Y.H. Gu","raw_affiliation_strings":["Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404947","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0003-4801-7162"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101997579","display_name":"Pengfei Shi","orcid":"https://orcid.org/0000-0002-2966-1676"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Shi","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042631401"],"corresponding_institution_ids":["https://openalex.org/I183067930","https://openalex.org/I66862912"],"apc_list":null,"apc_paid":null,"fwci":0.187,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54686833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"1100","last_page":"1104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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":1.0,"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/T11094","display_name":"Face Recognition and Perception","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9624000191688538,"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/geodesic","display_name":"Geodesic","score":0.879378616809845},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6983961462974548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6160197257995605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6029080152511597},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5792793035507202},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5537501573562622},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5397063493728638},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5274432301521301},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5094018578529358},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49956488609313965},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4497218430042267},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3625774681568146},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3444023132324219},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32787150144577026},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12320438027381897},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.059725672006607056}],"concepts":[{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.879378616809845},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6983961462974548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6160197257995605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6029080152511597},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5792793035507202},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5537501573562622},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5397063493728638},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5274432301521301},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5094018578529358},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49956488609313965},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4497218430042267},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3625774681568146},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3444023132324219},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32787150144577026},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12320438027381897},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.059725672006607056},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2015.7350970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.lib.chalmers.se:217789","is_oa":false,"landing_page_url":"http://publications.lib.chalmers.se/publication/217789-salient-object-detection-using-normalized-cut-and-geodesics","pdf_url":null,"source":{"id":"https://openalex.org/S4377196470","display_name":"Chalmers Publication Library (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text.Article.Conference.PeerReviewed"},{"id":"pmh:oai:research.chalmers.se:217789","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/217789","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W1965301399","https://openalex.org/W1966822461","https://openalex.org/W1980627806","https://openalex.org/W1981228217","https://openalex.org/W1982075130","https://openalex.org/W1996326832","https://openalex.org/W2002574940","https://openalex.org/W2002781701","https://openalex.org/W2003193644","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2047670868","https://openalex.org/W2077792305","https://openalex.org/W2100470808","https://openalex.org/W2110158442","https://openalex.org/W2118246710","https://openalex.org/W2120516993","https://openalex.org/W2121947440","https://openalex.org/W2122076510","https://openalex.org/W2125378844","https://openalex.org/W2127707449","https://openalex.org/W2128272608","https://openalex.org/W2128446554","https://openalex.org/W2129587342","https://openalex.org/W2131095668","https://openalex.org/W2132914434","https://openalex.org/W2139047169","https://openalex.org/W2146103513","https://openalex.org/W2156777442","https://openalex.org/W2161185676","https://openalex.org/W2162681317","https://openalex.org/W2164084182","https://openalex.org/W2166650627","https://openalex.org/W2171378720","https://openalex.org/W6600850345","https://openalex.org/W6651042577","https://openalex.org/W6651149441","https://openalex.org/W6680614221"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W1978591761","https://openalex.org/W4287661821","https://openalex.org/W3133864228","https://openalex.org/W2941285539","https://openalex.org/W28991112","https://openalex.org/W1579299075","https://openalex.org/W2370726991","https://openalex.org/W4206698794","https://openalex.org/W3089249579"],"abstract_inverted_index":{"Recently":[0],"the":[1,28,30,49,56,81,110,115],"Normalized":[2],"cut":[3],"(Ncut)":[4],"has":[5],"been":[6],"introduced":[7],"to":[8,46,51,88,94,124],"salient":[9,90],"object":[10],"detection":[11,24,34,85,96],"[1,":[12],"2].":[13],"In":[14],"this":[15],"paper":[16],"we":[17],"validate":[18],"that":[19,26,73],"instead":[20],"of":[21,48],"proposing":[22],"new":[23],"models":[25],"leverage":[27],"Ncut,":[29],"previous":[31],"geodesic":[32,83,117],"saliency":[33,84,118],"model":[35,119],"which":[36],"computes":[37],"shortest":[38],"paths":[39],"on":[40,105],"a":[41,59,62],"graph":[42,60],"can":[43,74],"be":[44],"adapted":[45],"eigenvectors":[47,68],"Ncut":[50,57],"produce":[52],"superior":[53],"performance.":[54],"Since":[55],"partitions":[58],"in":[61],"normalized":[63],"energy":[64],"minimization":[65],"fashion,":[66],"resulting":[67],"contain":[69],"decent":[70],"cluster":[71],"information":[72],"group":[75],"visual":[76],"contents.":[77],"Combining":[78],"it":[79],"with":[80,101],"existing":[82,103],"is":[86],"conducive":[87],"highlighting":[89],"objects":[91],"uniformly,":[92],"yielding":[93],"improved":[95],"accuracy.":[97],"Experiments":[98],"by":[99],"comparing":[100],"12":[102],"methods":[104],"four":[106],"benchmark":[107],"datasets":[108],"show":[109],"proposed":[111],"method":[112],"significantly":[113],"outperforms":[114],"original":[116],"and":[120],"achieves":[121],"comparable":[122],"performance":[123],"state-of-the-art":[125],"methods.":[126]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}