{"id":"https://openalex.org/W2988539781","doi":"https://doi.org/10.23919/eusipco.2019.8902987","title":"Semantic Prior Based Generative Adversarial Network for Video Super-Resolution","display_name":"Semantic Prior Based Generative Adversarial Network for Video Super-Resolution","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2988539781","doi":"https://doi.org/10.23919/eusipco.2019.8902987","mag":"2988539781"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2019.8902987","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8902987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5105053161","display_name":"Xinyi Wu","orcid":"https://orcid.org/0000-0003-0791-6305"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyi Wu","raw_affiliation_strings":["Dept. of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043771227","display_name":"Alice Lucas","orcid":"https://orcid.org/0000-0001-5914-4154"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alice Lucas","raw_affiliation_strings":["Dept. of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046773255","display_name":"Santiago L\u00f3pez-Tapia","orcid":"https://orcid.org/0000-0003-2090-7446"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Santiago Lopez-Tapia","raw_affiliation_strings":["Depto. de Ciencias de la Computaci\u00f3n e I.A., University of Granada, Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Depto. de Ciencias de la Computaci\u00f3n e I.A., University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053465205","display_name":"Xijun Wang","orcid":"https://orcid.org/0000-0001-9155-7653"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xijun Wang","raw_affiliation_strings":["Dept. of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108403511","display_name":"Yul Hee Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yul Hee Kim","raw_affiliation_strings":["Dept. of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023830568","display_name":"Rafael Molina","orcid":"https://orcid.org/0000-0003-4694-8588"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Rafael Molina","raw_affiliation_strings":["Depto. de Ciencias de la Computaci\u00f3n e I.A., University of Granada, Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Depto. de Ciencias de la Computaci\u00f3n e I.A., University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048650003","display_name":"Aggelos K. Katsaggelos","orcid":"https://orcid.org/0000-0003-4554-0070"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aggelos K. Katsaggelos","raw_affiliation_strings":["Dept. of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.183,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5161587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.996399998664856,"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":0.993399977684021,"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":0.8463660478591919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6674525737762451},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5524022579193115},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5467917919158936},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4949325919151306},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4727509915828705},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4591711163520813},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4482194185256958},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42240971326828003},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.41786712408065796},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4107200503349304},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3728552460670471},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3521965742111206}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8463660478591919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6674525737762451},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5524022579193115},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5467917919158936},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4949325919151306},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4727509915828705},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4591711163520813},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4482194185256958},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42240971326828003},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.41786712408065796},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4107200503349304},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3728552460670471},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3521965742111206},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2019.8902987","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2019.8902987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1596114686","https://openalex.org/W1677182931","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W1981990039","https://openalex.org/W2099471712","https://openalex.org/W2138598313","https://openalex.org/W2320725294","https://openalex.org/W2610638008","https://openalex.org/W2737258237","https://openalex.org/W2767863271","https://openalex.org/W2808109260","https://openalex.org/W2885325429","https://openalex.org/W2898803797","https://openalex.org/W2901142221","https://openalex.org/W2962785568","https://openalex.org/W2963108253","https://openalex.org/W2963470893","https://openalex.org/W2963814095","https://openalex.org/W3101569186","https://openalex.org/W4320013936","https://openalex.org/W6635732051","https://openalex.org/W6639102338","https://openalex.org/W6753746280","https://openalex.org/W6756536644"],"related_works":["https://openalex.org/W2329932281","https://openalex.org/W4386984417","https://openalex.org/W2888032422","https://openalex.org/W4377980832","https://openalex.org/W3005996785","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W4297411772","https://openalex.org/W4235873501","https://openalex.org/W2986089616"],"abstract_inverted_index":{"Semantic":[0],"information":[1],"is":[2,88,104,118],"widely":[3],"used":[4],"in":[5,120],"the":[6,12,57,61,66,73,78,82,91,108],"deep":[7],"learning":[8,55,79,109],"literature":[9],"to":[10,50,106],"improve":[11],"performance":[13],"of":[14,46,72,81],"visual":[15],"media":[16],"processing.":[17],"In":[18],"this":[19],"work,":[20],"we":[21,64],"propose":[22],"a":[23,96],"semantic":[24,44,67,86,97],"prior":[25,68,87],"based":[26],"Generative":[27],"Adversarial":[28],"Network":[29],"(GAN)":[30],"model":[31,36,117],"for":[32,56],"video":[33,93,122],"super-resolution.":[34],"The":[35,84],"fully":[37],"utilizes":[38],"various":[39],"texture":[40],"styles":[41],"from":[42],"different":[43],"categories":[45],"video-frame":[47],"patches,":[48],"contributing":[49],"more":[51],"accurate":[52],"and":[53,126,128],"efficient":[54],"generator.":[58,83],"Based":[59],"on":[60,90],"GAN":[62],"framework,":[63],"introduce":[65],"by":[69,95],"making":[70],"use":[71],"spatial":[74],"feature":[75],"transform":[76],"during":[77],"process":[80],"patch-wise":[85],"extracted":[89],"whole":[92],"frame":[94],"segmentation":[98],"network.":[99],"A":[100],"hybrid":[101],"loss":[102],"function":[103],"designed":[105],"guide":[107],"performance.":[110],"Experimental":[111],"results":[112],"show":[113],"that":[114],"our":[115],"proposed":[116],"advantageous":[119],"sharpening":[121],"frames,":[123],"reducing":[124],"noise":[125],"artifacts,":[127],"recovering":[129],"realistic":[130],"textures.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
