{"id":"https://openalex.org/W1979962034","doi":"https://doi.org/10.1145/2578726.2578738","title":"Monte Carlo Sampling based Salient Region Detection","display_name":"Monte Carlo Sampling based Salient Region Detection","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W1979962034","doi":"https://doi.org/10.1145/2578726.2578738","mag":"1979962034"},"language":"en","primary_location":{"id":"doi:10.1145/2578726.2578738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2578726.2578738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Multimedia Retrieval","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/A5081959932","display_name":"Tiancai Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tiancai Ye","raw_affiliation_strings":["Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100632765","display_name":"Dongming Zhang","orcid":"https://orcid.org/0000-0002-1237-7177"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongming Zhang","raw_affiliation_strings":["Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101593091","display_name":"Guoqing Jin","orcid":"https://orcid.org/0009-0001-7108-9159"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Jin","raw_affiliation_strings":["Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101535243","display_name":"Ke Gao","orcid":"https://orcid.org/0000-0002-9745-7247"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Gao","raw_affiliation_strings":["Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072242162","display_name":"Xiaoguang Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguang Gu","raw_affiliation_strings":["Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046305086","display_name":"Yongdong Zhang","orcid":"https://orcid.org/0000-0002-1151-1792"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongdong Zhang","raw_affiliation_strings":["Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5081959932"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55618371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"104"},"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":0.9955999851226807,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9897000193595886,"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":0.8276394605636597},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7294488549232483},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.7106798887252808},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.688044011592865},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.617773175239563},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5347994565963745},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5298647284507751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5109431147575378},{"id":"https://openalex.org/keywords/rejection-sampling","display_name":"Rejection sampling","score":0.46383580565452576},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43604928255081177},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40317484736442566},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3402532935142517},{"id":"https://openalex.org/keywords/hybrid-monte-carlo","display_name":"Hybrid Monte Carlo","score":0.19330927729606628},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18747511506080627},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17276623845100403},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.14781737327575684},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08646059036254883}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.8276394605636597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294488549232483},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7106798887252808},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.688044011592865},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.617773175239563},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5347994565963745},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5298647284507751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5109431147575378},{"id":"https://openalex.org/C187192777","wikidata":"https://www.wikidata.org/wiki/Q381699","display_name":"Rejection sampling","level":5,"score":0.46383580565452576},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43604928255081177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40317484736442566},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3402532935142517},{"id":"https://openalex.org/C13153151","wikidata":"https://www.wikidata.org/wiki/Q1639846","display_name":"Hybrid Monte Carlo","level":4,"score":0.19330927729606628},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18747511506080627},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17276623845100403},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.14781737327575684},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08646059036254883},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2578726.2578738","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2578726.2578738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Multimedia Retrieval","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":34,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W108561194","https://openalex.org/W154882957","https://openalex.org/W1497599070","https://openalex.org/W1872412942","https://openalex.org/W1911017354","https://openalex.org/W1965301399","https://openalex.org/W1996326832","https://openalex.org/W2002781701","https://openalex.org/W2007060009","https://openalex.org/W2017714214","https://openalex.org/W2026019603","https://openalex.org/W2029515461","https://openalex.org/W2037328649","https://openalex.org/W2037954058","https://openalex.org/W2040253108","https://openalex.org/W2059218174","https://openalex.org/W2078132377","https://openalex.org/W2097878628","https://openalex.org/W2100470808","https://openalex.org/W2100618994","https://openalex.org/W2127707449","https://openalex.org/W2128272608","https://openalex.org/W2131095668","https://openalex.org/W2135957164","https://openalex.org/W2138015733","https://openalex.org/W2145227859","https://openalex.org/W2146103513","https://openalex.org/W2169041475","https://openalex.org/W2170023599","https://openalex.org/W2273732531","https://openalex.org/W2990138404","https://openalex.org/W6640119053","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W3083491872","https://openalex.org/W38162065"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,58,84,135],"simple":[4],"and":[5,26,48,138],"effective":[6],"method":[7,101,117],"is":[8,31,65,83,102,109],"proposed":[9],"for":[10],"salient":[11,19],"region":[12],"detection.":[13],"Based":[14],"on":[15,122],"the":[16,77,91],"observation":[17],"that":[18],"regions":[20],"tend":[21],"to":[22,32],"be":[23],"compact,":[24],"connected":[25],"surrounded,":[27],"our":[28,100,116,132],"original":[29],"idea":[30],"exploit":[33],"these":[34],"three":[35],"kinds":[36],"of":[37,42,79,96],"prior":[38,94],"knowledge.":[39],"However,":[40],"concepts":[41],"spatial":[43,97],"structure":[44],"(such":[45],"as":[46],"connectivity":[47],"surroundedness)":[49],"only":[50],"have":[51],"definite":[52],"meanings":[53],"in":[54],"binary":[55,85],"images.":[56],"Thus,":[57],"Monte":[59],"Carlo":[60],"Sampling":[61],"based":[62],"Saliency":[63],"model":[64,68],"proposed.":[66],"Our":[67],"has":[69,134],"two":[70,123],"main":[71],"advantages":[72],"over":[73],"other":[74],"methods.":[75],"Firstly,":[76],"result":[78],"each":[80,112],"sampling":[81,107],"process":[82,108],"map":[86],"which":[87,114],"can":[88],"greatly":[89],"simplify":[90],"combination":[92],"with":[93,111,128],"knowledge":[95],"structure.":[98],"Secondly,":[99],"naturally":[103],"parallelized":[104],"because":[105],"every":[106],"independent":[110],"other,":[113],"makes":[115],"very":[118,141],"efficient.":[119],"Experimental":[120],"results":[121],"datasets":[124],"show":[125],"that,":[126],"compared":[127],"eleven":[129],"state-of-the-art":[130],"methods,":[131],"approach":[133],"competitive":[136],"performance":[137],"also":[139],"runs":[140],"fast.":[142]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
