{"id":"https://openalex.org/W4386598528","doi":"https://doi.org/10.1109/icip49359.2023.10223143","title":"Encoding-Aware Deep Video Super-Resolution Framework","display_name":"Encoding-Aware Deep Video Super-Resolution Framework","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386598528","doi":"https://doi.org/10.1109/icip49359.2023.10223143"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10223143","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10223143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","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/A5064939179","display_name":"Si-Jung Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152972","display_name":"BlueDot (Canada)","ror":"https://ror.org/047hw1v81","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210152972"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sijung Kim","raw_affiliation_strings":["BLUEDOT Inc.,Seoul,Korea","BLUEDOT Inc., Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BLUEDOT Inc.,Seoul,Korea","institution_ids":["https://openalex.org/I4210152972"]},{"raw_affiliation_string":"BLUEDOT Inc., Seoul, Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108862748","display_name":"Ungwon Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152972","display_name":"BlueDot (Canada)","ror":"https://ror.org/047hw1v81","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210152972"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ungwon Lee","raw_affiliation_strings":["BLUEDOT Inc.,Seoul,Korea","BLUEDOT Inc., Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BLUEDOT Inc.,Seoul,Korea","institution_ids":["https://openalex.org/I4210152972"]},{"raw_affiliation_string":"BLUEDOT Inc., Seoul, Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055160136","display_name":"Min Yong Jeon","orcid":"https://orcid.org/0000-0002-9944-8993"},"institutions":[{"id":"https://openalex.org/I4210152972","display_name":"BlueDot (Canada)","ror":"https://ror.org/047hw1v81","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210152972"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Minyong Jeon","raw_affiliation_strings":["BLUEDOT Inc.,Seoul,Korea","BLUEDOT Inc., Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BLUEDOT Inc.,Seoul,Korea","institution_ids":["https://openalex.org/I4210152972"]},{"raw_affiliation_string":"BLUEDOT Inc., Seoul, Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210152972"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"356","last_page":"360"},"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":0.9988999962806702,"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":0.9986000061035156,"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/codec","display_name":"Codec","score":0.8382688760757446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7877485156059265},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.6343254446983337},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5891691446304321},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5355515480041504},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4809812307357788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47558462619781494},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.41794878244400024},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.41311177611351013},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38145381212234497},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22432565689086914},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17378810048103333},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.16437885165214539},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08679178357124329}],"concepts":[{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.8382688760757446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7877485156059265},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.6343254446983337},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5891691446304321},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5355515480041504},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4809812307357788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47558462619781494},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.41794878244400024},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41311177611351013},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38145381212234497},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22432565689086914},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17378810048103333},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.16437885165214539},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08679178357124329},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10223143","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10223143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322065","display_name":"National IT Industry Promotion Agency","ror":"https://ror.org/026v53e29"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2121262603","https://openalex.org/W2141590943","https://openalex.org/W2146395539","https://openalex.org/W2156376988","https://openalex.org/W2552465432","https://openalex.org/W2769654144","https://openalex.org/W2785562966","https://openalex.org/W2965669158","https://openalex.org/W2969260367","https://openalex.org/W3031546776","https://openalex.org/W3102015846","https://openalex.org/W3157035436","https://openalex.org/W3176148916","https://openalex.org/W3179836520","https://openalex.org/W4317600317","https://openalex.org/W4318239557","https://openalex.org/W6849114878"],"related_works":["https://openalex.org/W2964213236","https://openalex.org/W2163719598","https://openalex.org/W3161919736","https://openalex.org/W2104624537","https://openalex.org/W3035539011","https://openalex.org/W2343776926","https://openalex.org/W2039662546","https://openalex.org/W4205669608","https://openalex.org/W2052044332","https://openalex.org/W2245085077"],"abstract_inverted_index":{"Video":[0],"super-resolution(VSR)":[1],"upscales":[2],"a":[3,51,58,71,88,141],"low-resolution":[4],"video":[5,17],"to":[6,19,92,118,126],"the":[7,15,40,43,84,94,101,106,111,119,127,152],"higher":[8],"one.":[9],"Most":[10],"applications":[11],"require":[12],"compression":[13,44],"of":[14,42,60,63,121,144],"super-resolved":[16,107],"due":[18],"limited":[20],"internet":[21],"bandwidth":[22],"and":[23,97,115],"storage":[24],"capacity.":[25],"However,":[26],"most":[27],"studies":[28],"on":[29,35,46,151],"VSR":[30,52,81,131,148],"techniques":[31],"have":[32],"focused":[33],"only":[34],"improving":[36],"image":[37],"quality,":[38],"ignoring":[39],"impact":[41],"process":[45],"visual":[47,55,122],"quality.":[48],"Consequently,":[49],"even":[50],"with":[53,137],"good":[54],"quality":[56,64,123],"has":[57],"risk":[59],"significant":[61],"loss":[62,102],"when":[65],"serviced":[66],"online":[67],"or":[68],"stored":[69],"as":[70],"file.":[72],"To":[73],"address":[74],"this":[75],"problem,":[76],"we":[77,86],"propose":[78],"an":[79],"encoding-aware":[80],"framework.":[82],"In":[83],"framework,":[85],"created":[87],"differentiable":[89],"virtual":[90],"codec":[91],"estimate":[93],"bit":[95],"rate":[96],"used":[98],"it":[99],"for":[100,133],"function,":[103],"which":[104],"optimizes":[105],"videos":[108],"by":[109],"considering":[110],"rate-distortion":[112],"trade-off":[113],"relationship":[114],"eventually":[116],"leads":[117],"prevention":[120],"degradation.":[124],"According":[125],"results,":[128],"our":[129],"real-time":[130],"model":[132],"x4":[134],"upscaling,":[135],"trained":[136],"1,191K":[138],"parameters,":[139],"yields":[140],"maximum":[142],"gain":[143],"13.2%":[145],"over":[146],"state-of-the-art":[147],"models":[149],"based":[150],"Bj\u00f8ntegaard":[153],"delta":[154],"rate.":[155]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}