{"id":"https://openalex.org/W2007998664","doi":"https://doi.org/10.1109/lsp.2014.2332213","title":"Video Saliency Detection Using Contrast of Spatiotemporal Directional Coherence","display_name":"Video Saliency Detection Using Contrast of Spatiotemporal Directional Coherence","publication_year":2014,"publication_date":"2014-06-24","ids":{"openalex":"https://openalex.org/W2007998664","doi":"https://doi.org/10.1109/lsp.2014.2332213","mag":"2007998664"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2014.2332213","doi":"https://doi.org/10.1109/lsp.2014.2332213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2332213","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-b","jufo-2","norway-1","poland-100","russia-white-list-1"],"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 Signal Processing Letters","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W2007998664"],"child_works_count":0,"type":"article","is_traditional":true,"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/A5010430171","display_name":"Wonjun Kim","orcid":"https://orcid.org/0000-0001-5121-5931","observed_orcids":["https://orcid.org/0000-0001-5121-5931","https://orcid.org/0009-0007-2192-800X"]},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]},{"id":"https://openalex.org/I4399598381","display_name":"Samsung Advanced Institute of Technology (South Korea)","ror":"https://ror.org/04axnyp10","country_code":"KR","type":"company","lineage":["https://openalex.org/I4399598381"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonjun Kim","raw_affiliation_strings":["Multimedia Processing Lab., Samsung Advanced Institute of Technology (SAIT), Suwon, Korea","Multimedia Process. Lab., Samsung Adv. Inst. of Technol., Suwon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Processing Lab., Samsung Advanced Institute of Technology (SAIT), Suwon, Korea","institution_ids":["https://openalex.org/I4399598381"]},{"raw_affiliation_string":"Multimedia Process. Lab., Samsung Adv. Inst. of Technol., Suwon, South Korea","institution_ids":["https://openalex.org/I2250650973","https://openalex.org/I4399598381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084450104","display_name":"Jae\u2010Joon Han","orcid":"https://orcid.org/0000-0002-6505-6529","observed_orcids":["https://orcid.org/0000-0002-6505-6529"]},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]},{"id":"https://openalex.org/I4399598381","display_name":"Samsung Advanced Institute of Technology (South Korea)","ror":"https://ror.org/04axnyp10","country_code":"KR","type":"company","lineage":["https://openalex.org/I4399598381"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Joon Han","raw_affiliation_strings":["Multimedia Processing Lab., Samsung Advanced Institute of Technology (SAIT), Suwon, Korea","Multimedia Process. Lab., Samsung Adv. Inst. of Technol., Suwon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia Processing Lab., Samsung Advanced Institute of Technology (SAIT), Suwon, Korea","institution_ids":["https://openalex.org/I4399598381"]},{"raw_affiliation_string":"Multimedia Process. Lab., Samsung Adv. Inst. of Technol., Suwon, South Korea","institution_ids":["https://openalex.org/I2250650973","https://openalex.org/I4399598381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.9408,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91222633,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":98},"biblio":{"volume":"21","issue":"10","first_page":"1250","last_page":"1254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.00019999999494757503,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/video-saliency-detection","display_name":"video saliency detection","score":1.0},{"id":"https://openalex.org/keywords/salient-region-detection","display_name":"salient region detection","score":0.7549999952316284},{"id":"https://openalex.org/keywords/dynamic-lighting","display_name":"dynamic lighting","score":0.7170000076293945},{"id":"https://openalex.org/keywords/motion-ambiguity","display_name":"motion ambiguity","score":0.38499999046325684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8318836092948914},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.809723973274231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7622936367988586},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6934632062911987},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.6661848425865173},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6607480645179749},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4787706434726715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.474224328994751},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09411752223968506},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2014.2332213","doi":"https://doi.org/10.1109/lsp.2014.2332213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2332213","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-b","jufo-2","norway-1","poland-100","russia-white-list-1"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1981228217","https://openalex.org/W2020163092","https://openalex.org/W2098702446","https://openalex.org/W2100916003","https://openalex.org/W2102625004","https://openalex.org/W2103357101","https://openalex.org/W2124321291","https://openalex.org/W2135957164","https://openalex.org/W2143619117","https://openalex.org/W2150489380","https://openalex.org/W2156643000","https://openalex.org/W2161122075","https://openalex.org/W2163588226","https://openalex.org/W2164495475","https://openalex.org/W2164720308"],"related_works":["https://openalex.org/W2063093722","https://openalex.org/W2048809922","https://openalex.org/W2888793750","https://openalex.org/W2294740405","https://openalex.org/W6976760730","https://openalex.org/W4393406740","https://openalex.org/W2792406376","https://openalex.org/W2110019070","https://openalex.org/W2164495475","https://openalex.org/W2578960937"],"abstract_inverted_index":{"Saliency":[0],"detection":[1,62,105],"in":[2,9,33,76,97,120,137],"video":[3,60,139],"sequences":[4],"has":[5],"attracted":[6],"great":[7],"attention":[8],"recent":[10],"years":[11],"due":[12,36],"to":[13,28,37,86],"its":[14],"promising":[15],"contributions":[16],"for":[17,59,133],"various":[18,90,109],"computer":[19],"vision":[20],"applications.":[21],"However,":[22],"most":[23],"existing":[24],"methods":[25],"often":[26],"fail":[27],"correctly":[29],"find":[30],"salient":[31,40,135],"regions":[32,136],"complex":[34],"scenes":[35],"ambiguities":[38],"between":[39],"motions":[41],"and":[42,56,95,122,131],"irrelevant":[43],"ones":[44],"generated":[45],"from":[46],"the":[47,65,68,98,126],"background.":[48],"In":[49],"this":[50],"letter,":[51],"we":[52,112],"present":[53],"a":[54,77],"simple":[55],"powerful":[57],"framework":[58],"saliency":[61,104],"based":[63],"on":[64,108],"contrast":[66],"of":[67],"spatiotemporal":[69],"directional":[70],"coherence.":[71],"Our":[72],"approach":[73],"is":[74,129],"designed":[75],"general":[78],"way":[79],"so":[80],"that":[81,125],"it":[82],"can":[83],"be":[84],"applied":[85],"videos":[87],"taken":[88],"under":[89],"environments":[91],"including":[92],"dynamic":[93],"illuminations":[94],"textures":[96],"background,":[99],"which":[100],"still":[101],"bother":[102],"previous":[103],"methods.":[106],"Based":[107],"challenging":[110],"datasets,":[111],"compare":[113],"ours":[114],"with":[115],"several":[116],"competitive":[117],"approaches":[118],"proposed":[119,127],"literature":[121],"results":[123],"demonstrate":[124],"method":[128],"effective":[130],"robust":[132],"detecting":[134],"diverse":[138],"sequences.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":6},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2016-06-24T00:00:00"}
