{"id":"https://openalex.org/W3188699473","doi":"https://doi.org/10.1109/tip.2021.3101826","title":"Compressed Domain Deep Video Super-Resolution","display_name":"Compressed Domain Deep Video Super-Resolution","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3188699473","doi":"https://doi.org/10.1109/tip.2021.3101826","mag":"3188699473","pmid":"https://pubmed.ncbi.nlm.nih.gov/34370665"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3101826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3101826","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","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/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":"Wenhan Yang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377170","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-5655-1464"},"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":"Meng Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-5655-1464","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101860050","display_name":"Long Sun","orcid":"https://orcid.org/0000-0002-2555-7556"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Sun","raw_affiliation_strings":["Huawei Fields Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Fields Lab, Hangzhou, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030842499","display_name":"Kangkang Hu","orcid":"https://orcid.org/0000-0003-2580-2803"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangkang Hu","raw_affiliation_strings":["Huawei Fields Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Fields Lab, Hangzhou, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"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":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-3583-959X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","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":2.7323,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.91998871,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"7156","last_page":"7169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9948999881744385,"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":0.8064480423927307},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.7269970178604126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7210487723350525},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6167401671409607},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6112133860588074},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5230509042739868},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5221081972122192},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.43826836347579956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38890427350997925},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.09285604953765869},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08675971627235413}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8064480423927307},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7269970178604126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7210487723350525},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6167401671409607},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6112133860588074},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5230509042739868},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5221081972122192},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.43826836347579956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38890427350997925},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.09285604953765869},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08675971627235413},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2021.3101826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3101826","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:34370665","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34370665","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1949521492","display_name":null,"funder_award_id":"9667192","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"},{"id":"https://openalex.org/G3038645002","display_name":null,"funder_award_id":"11203220","funder_id":"https://openalex.org/F4320306709","funder_display_name":"Glaucoma Research Foundation"},{"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/F4320306709","display_name":"Glaucoma Research Foundation","ror":"https://ror.org/05ez53b31"},{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":88,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1522301498","https://openalex.org/W1897123318","https://openalex.org/W1969665649","https://openalex.org/W1995967686","https://openalex.org/W2017801928","https://openalex.org/W2029684123","https://openalex.org/W2032198961","https://openalex.org/W2039760575","https://openalex.org/W2043292349","https://openalex.org/W2058080331","https://openalex.org/W2101700394","https://openalex.org/W2111454493","https://openalex.org/W2117535912","https://openalex.org/W2123113293","https://openalex.org/W2133665775","https://openalex.org/W2140199336","https://openalex.org/W2142683286","https://openalex.org/W2146395539","https://openalex.org/W2151452149","https://openalex.org/W2184360182","https://openalex.org/W2242218935","https://openalex.org/W2320725294","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2510648513","https://openalex.org/W2557227117","https://openalex.org/W2566588379","https://openalex.org/W2567804583","https://openalex.org/W2589759987","https://openalex.org/W2607041014","https://openalex.org/W2612222456","https://openalex.org/W2620296437","https://openalex.org/W2752154940","https://openalex.org/W2769654144","https://openalex.org/W2781335552","https://openalex.org/W2782776028","https://openalex.org/W2792766850","https://openalex.org/W2798664922","https://openalex.org/W2799309438","https://openalex.org/W2866634454","https://openalex.org/W2899771611","https://openalex.org/W2903027626","https://openalex.org/W2913360047","https://openalex.org/W2915260409","https://openalex.org/W2923834406","https://openalex.org/W2951291220","https://openalex.org/W2962927175","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2963814095","https://openalex.org/W2964040059","https://openalex.org/W2965669158","https://openalex.org/W2970554730","https://openalex.org/W2979990382","https://openalex.org/W2985680812","https://openalex.org/W2986833982","https://openalex.org/W2987967832","https://openalex.org/W2997563066","https://openalex.org/W2998349962","https://openalex.org/W3001201412","https://openalex.org/W3034475761","https://openalex.org/W3034950620","https://openalex.org/W3048880593","https://openalex.org/W3085056143","https://openalex.org/W3093296832","https://openalex.org/W3100087914","https://openalex.org/W3102015846","https://openalex.org/W3102974666","https://openalex.org/W3104772632","https://openalex.org/W3127472656","https://openalex.org/W3134649899","https://openalex.org/W3160935001","https://openalex.org/W3164675474","https://openalex.org/W3175361891","https://openalex.org/W3176148916","https://openalex.org/W3176675486","https://openalex.org/W3196358730","https://openalex.org/W6631190155","https://openalex.org/W6686186229","https://openalex.org/W6756040250","https://openalex.org/W6770531985","https://openalex.org/W6782135848","https://openalex.org/W6785733391","https://openalex.org/W6791576295","https://openalex.org/W6794187328","https://openalex.org/W6795730655","https://openalex.org/W6800004862"],"related_works":["https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W2580650124","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W3123087812","https://openalex.org/W2063076820"],"abstract_inverted_index":{"Real-world":[0],"video":[1,28,53,85,92,106,143,236,243,283],"processing":[2,12],"algorithms":[3],"are":[4,225],"often":[5],"faced":[6],"with":[7,107,138,252],"the":[8,13,21,38,58,66,84,91,95,103,119,123,136,139,142,146,155,182,192,203,218,221,240,269,275],"great":[9],"challenges":[10],"of":[11,17,40,135,141,184,194,202,217,260,277],"compressed":[14,41,50,96,241,258,281],"videos":[15,259],"instead":[16],"pristine":[18],"videos.":[19,42],"Despite":[20],"tremendous":[22],"successes":[23],"achieved":[24],"in":[25,87,94,200,280],"deep-learning":[26],"based":[27],"super-resolution":[29],"(SR),":[30],"much":[31],"less":[32],"work":[33],"has":[34],"been":[35],"dedicated":[36],"to":[37,100,117,132,166,171,208,213],"SR":[39,54,93,199,235,244],"Herein,":[43],"we":[44,246],"propose":[45],"a":[46,159,228],"novel":[47],"approach":[48],"for":[49,173,198,233],"domain":[51,97,242,282],"deep":[52,62,219],"by":[55],"jointly":[56],"leveraging":[57],"coding":[59,73,121,157,265,278],"priors":[60,74,266,279],"and":[61,68,71,78,110,151,186,206,263],"priors.":[63],"By":[64],"exploiting":[65],"diverse":[67,261],"ready-made":[69],"spatial":[70,120],"temporal":[72,156],"(e.g.,":[75],"partition":[76],"maps":[77],"motion":[79,175,188,210],"vectors)":[80],"extracted":[81,267],"directly":[82],"from":[83,227,268],"bitstream":[86],"an":[88,248],"effortless":[89],"way,":[90],"allows":[98],"us":[99],"accurately":[101],"reconstruct":[102],"high":[104,108],"resolution":[105],"flexibility":[109],"substantially":[111],"economized":[112],"computational":[113,204],"complexity.":[114],"More":[115],"specifically,":[116],"incorporate":[118,154],"prior,":[122,158],"Guided":[124],"Spatial":[125],"Feature":[126],"Transform":[127],"(GSFT)":[128],"layer":[129],"is":[130,164],"proposed":[131],"modulate":[133],"features":[134,148,195,224],"prior":[137,147],"guidance":[140],"information,":[144],"making":[145],"more":[149,196],"fine-grained":[150],"content-adaptive.":[152],"To":[153,238],"guided":[160],"soft":[161,178],"alignment":[162,179,193],"scheme":[163,180],"designed":[165],"generate":[167],"local":[168],"attention":[169],"off-sets":[170],"compensate":[172],"decoded":[174],"vectors.":[176],"Our":[177],"combines":[181],"merits":[183],"explicit":[185],"implicit":[187],"modeling":[189],"methods,":[190],"rendering":[191],"effective":[197],"terms":[201],"complexity":[205],"robustness":[207],"inaccurate":[209],"fields.":[211],"Furthermore,":[212],"fully":[214],"make":[215],"use":[216],"priors,":[220],"multi-scale":[222],"fused":[223],"generated":[226],"scale-wise":[229],"convolution":[230],"reconstruction":[231],"network":[232],"final":[234],"reconstruction.":[237],"promote":[239],"research,":[245],"build":[247],"extensive":[249],"Compressed":[250],"Videos":[251],"Coding":[253],"Prior":[254],"(CVCP)":[255],"dataset,":[256],"including":[257],"content":[262],"various":[264],"bitstream.":[270],"Extensive":[271],"experimental":[272],"results":[273],"show":[274],"effectiveness":[276],"SR.":[284]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}