{"id":"https://openalex.org/W2943978556","doi":"https://doi.org/10.1109/access.2019.2899351","title":"Structure-Aware Adaptive Diffusion for Video Saliency Detection","display_name":"Structure-Aware Adaptive Diffusion for Video Saliency Detection","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2943978556","doi":"https://doi.org/10.1109/access.2019.2899351","mag":"2943978556"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2899351","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2899351","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08707085.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08707085.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030724247","display_name":"Chenglizhao Chen","orcid":"https://orcid.org/0000-0001-9982-5667"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenglizhao Chen","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-9982-5667","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041677875","display_name":"Guotao Wang","orcid":"https://orcid.org/0000-0001-8813-1918"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guotao Wang","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054958308","display_name":"Chong Peng","orcid":"https://orcid.org/0000-0003-0003-5126"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chong Peng","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.397,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63715577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"79770","last_page":"79782"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9983999729156494,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9782999753952026,"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/computer-science","display_name":"Computer science","score":0.772010862827301},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5202459096908569},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4607020914554596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4064328372478485}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.772010862827301},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5202459096908569},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4607020914554596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4064328372478485},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2899351","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2899351","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08707085.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:797f5aa028c94331b3790cf7731cb41c","is_oa":true,"landing_page_url":"https://doaj.org/article/797f5aa028c94331b3790cf7731cb41c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 79770-79782 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2899351","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2899351","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08707085.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1032398301","display_name":null,"funder_award_id":"ZR2019QF009","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G3423720519","display_name":null,"funder_award_id":"61802215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5138666817","display_name":null,"funder_award_id":"ZR2019BF011","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8479623035","display_name":null,"funder_award_id":"61806106","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"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2943978556.pdf","grobid_xml":"https://content.openalex.org/works/W2943978556.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W33363299","https://openalex.org/W51625820","https://openalex.org/W954220770","https://openalex.org/W1894057436","https://openalex.org/W1954128991","https://openalex.org/W1969226866","https://openalex.org/W1980120082","https://openalex.org/W1981228217","https://openalex.org/W1982075130","https://openalex.org/W1983039297","https://openalex.org/W1992992668","https://openalex.org/W1994634851","https://openalex.org/W1996326832","https://openalex.org/W2002781701","https://openalex.org/W2030449718","https://openalex.org/W2034436892","https://openalex.org/W2036691646","https://openalex.org/W2037757210","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2055611119","https://openalex.org/W2059639989","https://openalex.org/W2062563118","https://openalex.org/W2065914597","https://openalex.org/W2081913479","https://openalex.org/W2097878628","https://openalex.org/W2100470808","https://openalex.org/W2105454024","https://openalex.org/W2110019070","https://openalex.org/W2113808907","https://openalex.org/W2118490033","https://openalex.org/W2118985252","https://openalex.org/W2128272608","https://openalex.org/W2128340050","https://openalex.org/W2131628350","https://openalex.org/W2132461991","https://openalex.org/W2138682569","https://openalex.org/W2141461755","https://openalex.org/W2142470670","https://openalex.org/W2155598147","https://openalex.org/W2159772167","https://openalex.org/W2163665255","https://openalex.org/W2164720308","https://openalex.org/W2176137647","https://openalex.org/W2295598507","https://openalex.org/W2461475918","https://openalex.org/W2470139095","https://openalex.org/W2519528544","https://openalex.org/W2588503511","https://openalex.org/W2757028014","https://openalex.org/W2768270796","https://openalex.org/W2788154928","https://openalex.org/W2803472033","https://openalex.org/W2884555738","https://openalex.org/W2963299740","https://openalex.org/W2963960612","https://openalex.org/W4247811648","https://openalex.org/W6602093332","https://openalex.org/W6639359414","https://openalex.org/W6675628854","https://openalex.org/W6679973066","https://openalex.org/W6697075695","https://openalex.org/W6734753989","https://openalex.org/W6748037084","https://openalex.org/W6991040940"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,66,94,119],"novel":[4,95],"saliency":[5,17],"model":[6],"that":[7],"reveals":[8],"the":[9,25,56,59,75,81,88,100,104,108,111,131,139],"long-term":[10,82,112],"info":[11,113],"to":[12,78,98,122],"boost":[13],"detection":[14,140],"accuracy.":[15,141],"The":[16],"estimation":[18],"of":[19,47,50,58,103],"conventional":[20],"methods":[21],"heavily":[22],"depends":[23],"on":[24],"locally":[26],"revealed":[27,110],"short-term":[28],"info,":[29],"and":[30,136],"they":[31],"could":[32],"easily":[33],"be":[34,115],"trapped":[35],"into":[36],"imperfect":[37],"configurations.":[38],"In":[39],"contrast,":[40],"our":[41],"method":[42],"can":[43,114],"take":[44],"full":[45],"consideration":[46],"common":[48],"consistency":[49],"those":[51],"reliable":[52],"low-level":[53],"predictions":[54],"from":[55],"perspective":[57],"entire":[60],"video":[61,84],"sequence.":[62],"Meanwhile,":[63],"we":[64,91],"adopt":[65],"newly":[67,109],"designed":[68],"self-learning":[69],"strategy":[70],"which":[71,127],"is":[72],"guided":[73],"by":[74],"low-rank":[76,125],"analysis":[77],"adaptively":[79],"reveal":[80],"spatial-temporal":[83],"coherency.":[85],"To":[86],"avoid":[87],"error":[89],"accumulations,":[90],"also":[92],"propose":[93],"non-local":[96],"descriptor":[97],"enhance":[99,138],"discriminative":[101],"power":[102],"feature":[105],"space.":[106],"Thus,":[107],"directly":[116],"regarded":[117],"as":[118,130],"trustful":[120],"indicator":[121],"sustain":[123],"additional":[124],"analysis,":[126],"would":[128],"serve":[129],"basis":[132],"toward":[133],"selective":[134],"fusion":[135],"significantly":[137]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}