{"id":"https://openalex.org/W1993117771","doi":"https://doi.org/10.1109/icme.2013.6607523","title":"Saliency map fusion based on rank-one constraint","display_name":"Saliency map fusion based on rank-one constraint","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1993117771","doi":"https://doi.org/10.1109/icme.2013.6607523","mag":"1993117771"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2013.6607523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo (ICME)","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/A5068837264","display_name":"Xiaochun Cao","orcid":"https://orcid.org/0000-0001-7141-708X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaochun Cao","raw_affiliation_strings":["Tianjin University, Tianjin, Tianjin, CN","School of Computer Science and Technology,Tianjin University,Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University, Tianjin, Tianjin, CN","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"School of Computer Science and Technology,Tianjin University,Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021486404","display_name":"Zhiqiang Tao","orcid":"https://orcid.org/0000-0002-5639-7540"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiqiang Tao","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China","School of Computer Science and Technology,Tianjin University,Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology,Tianjin University,Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707731","display_name":"Zhang Bao","orcid":"https://orcid.org/0000-0001-9900-747X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bao Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China","School of Computer Science and Technology,Tianjin University,Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology,Tianjin University,Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010970485","display_name":"Huazhu Fu","orcid":"https://orcid.org/0000-0002-9702-5524"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huazhu Fu","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China","School of Computer Science and Technology,Tianjin University,Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology,Tianjin University,Tianjin, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053246660","display_name":"Xuewei Li","orcid":"https://orcid.org/0000-0001-5336-7234"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuewei Li","raw_affiliation_strings":["School of Computer Science and Technology, Tianjin University, Tianjin, China","School of Computer Science and Technology,Tianjin University,Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology,Tianjin University,Tianjin, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068837264"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":1.6329,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.85538071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9868999719619751,"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7647998332977295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.67469322681427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.613879382610321},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5913849472999573},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5903486609458923},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5677605867385864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5625187158584595},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5335832834243774},{"id":"https://openalex.org/keywords/saliency-map","display_name":"Saliency map","score":0.5257264375686646},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4761614501476288},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4660642743110657},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38949054479599},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36281508207321167}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7647998332977295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.67469322681427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.613879382610321},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5913849472999573},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5903486609458923},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5677605867385864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5625187158584595},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5335832834243774},{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.5257264375686646},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4761614501476288},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4660642743110657},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38949054479599},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36281508207321167},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2013.6607523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo (ICME)","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":18,"referenced_works":["https://openalex.org/W1965301399","https://openalex.org/W1981228217","https://openalex.org/W1982075130","https://openalex.org/W2002574940","https://openalex.org/W2007685793","https://openalex.org/W2037954058","https://openalex.org/W2069241582","https://openalex.org/W2097482646","https://openalex.org/W2100470808","https://openalex.org/W2112553126","https://openalex.org/W2114542651","https://openalex.org/W2128272608","https://openalex.org/W2140577477","https://openalex.org/W2146103513","https://openalex.org/W2153760331","https://openalex.org/W2406442301","https://openalex.org/W6651042577","https://openalex.org/W6713818579"],"related_works":["https://openalex.org/W1510768092","https://openalex.org/W2611003898","https://openalex.org/W2230808081","https://openalex.org/W2575602754","https://openalex.org/W1967391339","https://openalex.org/W3009179364","https://openalex.org/W2376243400","https://openalex.org/W2351778949","https://openalex.org/W2132649329","https://openalex.org/W150054742"],"abstract_inverted_index":{"Co-saliency":[0],"is":[1,40,127],"the":[2,24,48,57,70,94,104,117,122,140,154],"common":[3],"saliency":[4,13,16,20,45,109],"existing":[5,141],"in":[6,12,47],"multiple":[7,107],"images,":[8,26],"which":[9],"keeps":[10],"consistent":[11],"maps.":[14,34],"One":[15],"detection":[17],"method":[18,126,152],"generates":[19],"maps":[21,115],"for":[22,129],"all":[23,56],"input":[25,133],"so":[27],"that":[28,150],"we":[29,78],"have":[30],"a":[31,52,89],"group":[32],"of":[33,37],"Salient":[35],"region":[36],"each":[38],"image":[39,108],"extracted":[41],"by":[42],"its":[43],"corresponding":[44],"map":[46],"group.":[49],"We":[50,102],"use":[51],"matrix":[53,71,98],"to":[54,92,120],"combine":[55,103],"salient":[58],"regions.":[59],"Ideally,":[60],"these":[61,114],"co-salient":[62],"regions":[63],"are":[64],"similar":[65],"and":[66,68,87,100,106,111,135],"consistent,":[67],"therefore":[69],"rank":[72,99],"appears":[73],"low.":[74],"In":[75],"this":[76,80],"paper,":[77],"formalize":[79],"general":[81],"consistency":[82,90],"criterion":[83],"as":[84],"rankone":[85],"constraint":[86,119],"propose":[88],"energy":[91],"measure":[93],"approximation":[95],"degree":[96],"between":[97],"one.":[101],"single":[105],"maps,":[110],"adaptively":[112],"weight":[113],"under":[116],"rank-one":[118],"generate":[121],"co-saliency":[123,142,158],"map.":[124],"Our":[125],"valid":[128],"more":[130,137],"than":[131,139],"two":[132],"images":[134],"has":[136,153],"robustness":[138],"methods.":[143],"Experimental":[144],"results":[145],"on":[146,157],"benchmark":[147],"database":[148],"demonstrate":[149],"our":[151],"satisfactory":[155],"performance":[156],"detection.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}