{"id":"https://openalex.org/W2080142539","doi":"https://doi.org/10.1109/tcsvt.2014.2381471","title":"Background Prior-Based Salient Object Detection via Deep Reconstruction Residual","display_name":"Background Prior-Based Salient Object Detection via Deep Reconstruction Residual","publication_year":2014,"publication_date":"2014-12-19","ids":{"openalex":"https://openalex.org/W2080142539","doi":"https://doi.org/10.1109/tcsvt.2014.2381471","mag":"2080142539"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2014.2381471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2014.2381471","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-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/A5012529382","display_name":"Junwei Han","orcid":"https://orcid.org/0000-0001-5545-7217"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwei Han","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","[School of automation, Northwestern polytechnical university, Xi'an, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"[School of automation, Northwestern polytechnical university, Xi'an, China]","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081226638","display_name":"Dingwen Zhang","orcid":"https://orcid.org/0000-0003-1602-5205"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingwen Zhang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","[School of automation, Northwestern polytechnical university, Xi'an, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"[School of automation, Northwestern polytechnical university, Xi'an, China]","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030799310","display_name":"Xintao Hu","orcid":"https://orcid.org/0000-0001-5633-3806"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xintao Hu","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","[School of automation, Northwestern polytechnical university, Xi'an, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"[School of automation, Northwestern polytechnical university, Xi'an, China]","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344286","display_name":"Lei Guo","orcid":"https://orcid.org/0000-0003-0728-896X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Guo","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","[School of automation, Northwestern polytechnical university, Xi'an, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"[School of automation, Northwestern polytechnical university, Xi'an, China]","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084316677","display_name":"Jinchang Ren","orcid":"https://orcid.org/0000-0001-6116-3194"},"institutions":[{"id":"https://openalex.org/I181647926","display_name":"University of Strathclyde","ror":"https://ror.org/00n3w3b69","country_code":"GB","type":"education","lineage":["https://openalex.org/I181647926"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jinchang Ren","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, U.K","[Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow,, U.K.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, U.K","institution_ids":["https://openalex.org/I181647926"]},{"raw_affiliation_string":"[Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow,, U.K.]","institution_ids":["https://openalex.org/I181647926"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029102289","display_name":"Feng Wu","orcid":"https://orcid.org/0000-0003-3989-0509"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wu","raw_affiliation_strings":["School of Information Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":32.7517,"has_fulltext":false,"cited_by_count":451,"citation_normalized_percentile":{"value":0.99812175,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"25","issue":"8","first_page":"1309","last_page":"1321"},"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":0.9901000261306763,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9890999794006348,"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/salient","display_name":"Salient","score":0.8111448287963867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8020280599594116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7759496569633484},{"id":"https://openalex.org/keywords/optimal-distinctiveness-theory","display_name":"Optimal distinctiveness theory","score":0.695206880569458},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6400474309921265},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.628252387046814},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5772579908370972},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5620342493057251},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5617771744728088},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5427546501159668},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4884854555130005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41695475578308105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3512639105319977},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08511653542518616}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.8111448287963867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8020280599594116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7759496569633484},{"id":"https://openalex.org/C47385372","wikidata":"https://www.wikidata.org/wiki/Q7098943","display_name":"Optimal distinctiveness theory","level":2,"score":0.695206880569458},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6400474309921265},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.628252387046814},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5772579908370972},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5620342493057251},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5617771744728088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5427546501159668},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4884854555130005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41695475578308105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3512639105319977},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08511653542518616},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2014.2381471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2014.2381471","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:strathprints.strath.ac.uk:53414","is_oa":false,"landing_page_url":"https://strathprints.strath.ac.uk/view/author/772358.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306402226","display_name":"Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I181647926","host_organization_name":"University of Strathclyde","host_organization_lineage":["https://openalex.org/I181647926"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1426293563","display_name":null,"funder_award_id":"61473231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2408274185","display_name":null,"funder_award_id":"61103061","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5754011485","display_name":null,"funder_award_id":"91120005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W1510835000","https://openalex.org/W1806891645","https://openalex.org/W1976977741","https://openalex.org/W1978508564","https://openalex.org/W1980026140","https://openalex.org/W1994922096","https://openalex.org/W1995706296","https://openalex.org/W1996326832","https://openalex.org/W1999478155","https://openalex.org/W2002574940","https://openalex.org/W2026019603","https://openalex.org/W2032078878","https://openalex.org/W2034436892","https://openalex.org/W2036109700","https://openalex.org/W2037513725","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2041719651","https://openalex.org/W2055158687","https://openalex.org/W2059242188","https://openalex.org/W2065372998","https://openalex.org/W2065494927","https://openalex.org/W2097878628","https://openalex.org/W2100470808","https://openalex.org/W2100495367","https://openalex.org/W2107055466","https://openalex.org/W2107200795","https://openalex.org/W2119823327","https://openalex.org/W2122076510","https://openalex.org/W2125378844","https://openalex.org/W2128272608","https://openalex.org/W2130502991","https://openalex.org/W2133589685","https://openalex.org/W2135957164","https://openalex.org/W2138857742","https://openalex.org/W2145094598","https://openalex.org/W2146103513","https://openalex.org/W2154063764","https://openalex.org/W2156686129","https://openalex.org/W2158983298","https://openalex.org/W2159772167","https://openalex.org/W2163922914","https://openalex.org/W2164495475","https://openalex.org/W2171378720","https://openalex.org/W2294059674","https://openalex.org/W2398870883","https://openalex.org/W2546191734","https://openalex.org/W2567978322","https://openalex.org/W2606321545","https://openalex.org/W2613634265","https://openalex.org/W2997574889","https://openalex.org/W6600850345","https://openalex.org/W6638520917","https://openalex.org/W6651042577","https://openalex.org/W6664127744","https://openalex.org/W6676006193","https://openalex.org/W6679401573","https://openalex.org/W6680300913","https://openalex.org/W6680437723","https://openalex.org/W6681096077","https://openalex.org/W6682370321","https://openalex.org/W6696761078","https://openalex.org/W6712814672","https://openalex.org/W6731638882"],"related_works":["https://openalex.org/W4225552138","https://openalex.org/W2032875729","https://openalex.org/W3046185751","https://openalex.org/W2475308993","https://openalex.org/W2477273251","https://openalex.org/W2790526747","https://openalex.org/W2069575426","https://openalex.org/W2108799769","https://openalex.org/W3002212064","https://openalex.org/W90767720"],"abstract_inverted_index":{"Detection":[0],"of":[1,22,47,130,145,154,158,163,176],"salient":[2,32,103,146],"objects":[3,104,147],"from":[4,105,148],"images":[5],"is":[6,53],"gaining":[7],"increasing":[8],"research":[9],"interest":[10],"in":[11,69,134],"recent":[12],"years":[13],"as":[14,151],"it":[15],"can":[16],"substantially":[17],"facilitate":[18],"a":[19,37,45,89,152],"wide":[20],"range":[21],"content-based":[23],"multimedia":[24],"applications.":[25],"Based":[26],"on":[27,44],"the":[28,98,106,119,143,149,174],"assumption":[29],"that":[30],"foreground":[31],"regions":[33],"are":[34,124,132],"distinctive":[35],"within":[36],"certain":[38],"context,":[39],"most":[40],"conventional":[41],"approaches":[42,62],"rely":[43],"number":[46],"hand-designed":[48],"features":[49],"and":[50,100,126,137,167],"their":[51,74],"distinctiveness":[52],"measured":[54],"using":[55],"local":[56],"or":[57],"global":[58],"contrast.":[59],"Although":[60],"these":[61],"have":[63],"been":[64],"shown":[65],"to":[66,117],"be":[67],"effective":[68],"dealing":[70,81],"with":[71,82,113,169],"simple":[72],"images,":[73],"limited":[75],"capability":[76],"may":[77],"cause":[78],"difficulties":[79],"when":[80],"more":[83,127],"complicated":[84],"images.":[85],"This":[86],"paper":[87],"proposes":[88],"novel":[90],"framework":[91],"for":[92],"saliency":[93],"detection":[94],"by":[95],"first":[96],"modeling":[97],"background":[99,120,150],"then":[101],"separating":[102],"background.":[107],"We":[108],"develop":[109],"stacked":[110],"denoising":[111],"autoencoders":[112],"deep":[114,159],"learning":[115],"architectures":[116],"model":[118],"where":[121],"latent":[122],"patterns":[123],"explored":[125],"powerful":[128],"representations":[129],"data":[131],"learned":[133],"an":[135],"unsupervised":[136],"bottom-up":[138],"manner.":[139],"Afterward,":[140],"we":[141],"formulate":[142],"separation":[144],"problem":[153],"measuring":[155],"reconstruction":[156],"residuals":[157],"autoencoders.":[160],"Comprehensive":[161],"evaluations":[162],"three":[164],"benchmark":[165],"datasets":[166],"comparisons":[168],"nine":[170],"state-of-the-art":[171],"algorithms":[172],"demonstrate":[173],"superiority":[175],"this":[177],"paper.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":72},{"year":2019,"cited_by_count":123},{"year":2018,"cited_by_count":42},{"year":2017,"cited_by_count":64},{"year":2016,"cited_by_count":48},{"year":2015,"cited_by_count":23}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}