{"id":"https://openalex.org/W4367276695","doi":"https://doi.org/10.1109/mmul.2023.3270035","title":"Reviving Standard-Dynamic-Range Videos for High-Dynamic-Range Devices: A Learning Paradigm With Hybrid Attention Mechanisms","display_name":"Reviving Standard-Dynamic-Range Videos for High-Dynamic-Range Devices: A Learning Paradigm With Hybrid Attention Mechanisms","publication_year":2023,"publication_date":"2023-04-27","ids":{"openalex":"https://openalex.org/W4367276695","doi":"https://doi.org/10.1109/mmul.2023.3270035"},"language":"en","primary_location":{"id":"doi:10.1109/mmul.2023.3270035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2023.3270035","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 MultiMedia","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/A5100648490","display_name":"Peilin Chen","orcid":"https://orcid.org/0000-0001-6636-522X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Peilin Chen","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-6636-522X","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070884682","display_name":"Wenhan Yang","orcid":"https://orcid.org/0000-0002-1692-0069"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhan Yang","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-1692-0069","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385178","display_name":"Shiqi Wang","orcid":"https://orcid.org/0000-0002-3583-959X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shiqi Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-3583-959X","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1064,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34126546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"30","issue":"3","first_page":"110","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9236000180244446,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9236000180244446,"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":0.8838104009628296},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.8240339159965515},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.7234874963760376},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6494418382644653},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5396113395690918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5244098901748657},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4626826345920563},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.4564493000507355},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41873496770858765},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3021412789821625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8838104009628296},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8240339159965515},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.7234874963760376},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6494418382644653},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5396113395690918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5244098901748657},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4626826345920563},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.4564493000507355},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41873496770858765},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3021412789821625},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmul.2023.3270035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2023.3270035","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 MultiMedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6964584101","display_name":null,"funder_award_id":"62022002","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":21,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2001868068","https://openalex.org/W2008675431","https://openalex.org/W2133665775","https://openalex.org/W2302255633","https://openalex.org/W2735974062","https://openalex.org/W2769930525","https://openalex.org/W2810518847","https://openalex.org/W2884585870","https://openalex.org/W2955058313","https://openalex.org/W2964076515","https://openalex.org/W2964121592","https://openalex.org/W2983118621","https://openalex.org/W2998556496","https://openalex.org/W3088065502","https://openalex.org/W3125028070","https://openalex.org/W3138218344","https://openalex.org/W3160499679","https://openalex.org/W4206545998","https://openalex.org/W4214762230","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2525745698","https://openalex.org/W2152030049","https://openalex.org/W2010724756","https://openalex.org/W2564543331","https://openalex.org/W2410869481","https://openalex.org/W2466475649","https://openalex.org/W2371190228","https://openalex.org/W1967888462","https://openalex.org/W4224781608"],"abstract_inverted_index":{"With":[0],"the":[1,8,54,58,83,89,102],"prevalence":[2],"of":[3,130],"high-dynamic-range":[4],"(HDR)":[5],"display":[6],"devices,":[7],"demand":[9],"to":[10,18,39,72,94,101,110],"convert":[11],"existing":[12],"standard-dynamic-range":[13],"television":[14,22],"(SDRTV)":[15],"video":[16],"content":[17],"its":[19],"corresponding":[20],"HDR":[21],"(HDRTV)":[23],"counterpart":[24],"is":[25],"growing":[26],"exponentially.":[27],"Herein,":[28],"we":[29,104],"propose":[30,105],"a":[31,106],"two-stage":[32],"learning":[33],"paradigm":[34],"with":[35],"hybrid":[36],"attention":[37],"mechanisms":[38],"fully":[40],"exploit":[41],"spatial,":[42],"channelwise,":[43],"and":[44,61,77],"regional":[45,107],"correlations":[46],"for":[47],"faithfully":[48],"driving":[49],"such":[50],"conversion.":[51],"Specifically,":[52],"in":[53,128],"first":[55],"domain-mapping":[56],"stage,":[57,86],"depthwise":[59],"self-attention":[60,108],"global":[62],"calibration":[63],"layer":[64],"are":[65],"proposed,":[66],"which":[67,97],"adaptively":[68],"leverage":[69],"feature":[70],"intrarelationships":[71],"construct":[73],"better":[74],"scene":[75],"representation":[76],"achieve":[78],"engaging":[79],"SDRTV-to-HDRTV":[80],"transformation.":[81],"In":[82],"second":[84],"highlight-generation":[85],"considering":[87],"that":[88,122],"overexposed":[90],"regions":[91],"potentially":[92],"lead":[93],"detail":[95],"loss,":[96],"brings":[98],"enormous":[99],"challenges":[100],"conversion,":[103],"module":[109],"specifically":[111],"restore":[112],"missing":[113],"highlights.":[114],"Extensive":[115],"experimental":[116],"results":[117],"on":[118],"public":[119],"databases":[120],"show":[121],"our":[123],"method":[124],"outperforms":[125],"state-of-the-art":[126],"approaches":[127],"terms":[129],"different":[131],"quality":[132],"evaluation":[133],"measures.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}