{"id":"https://openalex.org/W4387968235","doi":"https://doi.org/10.1145/3581783.3612530","title":"High Visual-Fidelity Learned Video Compression","display_name":"High Visual-Fidelity Learned Video Compression","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968235","doi":"https://doi.org/10.1145/3581783.3612530"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612530","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612530","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612530","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612530","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100673604","display_name":"Meng Li","orcid":"https://orcid.org/0000-0002-6758-4122"},"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":true,"raw_author_name":"Meng Li","raw_affiliation_strings":["Huawei Technologies, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6758-4122","affiliations":[{"raw_affiliation_string":"Huawei Technologies, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088276624","display_name":"Yibo Shi","orcid":"https://orcid.org/0009-0009-0840-3246"},"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":"Yibo Shi","raw_affiliation_strings":["Huawei Technologies, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-0840-3246","affiliations":[{"raw_affiliation_string":"Huawei Technologies, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103015500","display_name":"Jing Wang","orcid":"https://orcid.org/0009-0003-9042-3890"},"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":"Jing Wang","raw_affiliation_strings":["Huawei Technologies, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-9042-3890","affiliations":[{"raw_affiliation_string":"Huawei Technologies, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101468148","display_name":"Yunqi Huang","orcid":"https://orcid.org/0000-0001-6920-9513"},"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":"Yunqi Huang","raw_affiliation_strings":["Huawei Technologies, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6920-9513","affiliations":[{"raw_affiliation_string":"Huawei Technologies, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100673604"],"corresponding_institution_ids":["https://openalex.org/I2250955327"],"apc_list":null,"apc_paid":null,"fwci":0.942,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77664378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"8057","last_page":"8066"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10531","display_name":"Advanced Vision and Imaging","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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8425275087356567},{"id":"https://openalex.org/keywords/compression-artifact","display_name":"Compression artifact","score":0.6655324101448059},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.6008890867233276},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5899844169616699},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5421707034111023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5339459180831909},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5305433869361877},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.5196725130081177},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46820715069770813},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4546322226524353},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.4378967583179474},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.42454737424850464},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4232638478279114},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.42314302921295166},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.243971049785614},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.0830237865447998},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08096754550933838},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06857672333717346},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06620776653289795},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.05474454164505005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8425275087356567},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.6655324101448059},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.6008890867233276},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5899844169616699},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5421707034111023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5339459180831909},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5305433869361877},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.5196725130081177},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46820715069770813},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4546322226524353},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.4378967583179474},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.42454737424850464},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4232638478279114},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.42314302921295166},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.243971049785614},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.0830237865447998},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08096754550933838},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06857672333717346},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06620776653289795},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.05474454164505005},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612530","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612530","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612530","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3581783.3612530","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3581783.3612530","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3581783.3612530","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.5600000023841858,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387968235.pdf","grobid_xml":"https://content.openalex.org/works/W4387968235.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W2108598243","https://openalex.org/W2133665775","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2535388113","https://openalex.org/W2601564443","https://openalex.org/W2769654144","https://openalex.org/W2916853398","https://openalex.org/W2962782951","https://openalex.org/W2962785568","https://openalex.org/W3020741905","https://openalex.org/W3034802763","https://openalex.org/W3035195755","https://openalex.org/W3036682213","https://openalex.org/W3102015846","https://openalex.org/W3135530072","https://openalex.org/W3174531399","https://openalex.org/W3203234039","https://openalex.org/W4214761665","https://openalex.org/W4312452088","https://openalex.org/W4312774595","https://openalex.org/W6780365925","https://openalex.org/W6802036239","https://openalex.org/W6841270463"],"related_works":["https://openalex.org/W2162641729","https://openalex.org/W1981844962","https://openalex.org/W4312204032","https://openalex.org/W3183073522","https://openalex.org/W4382240133","https://openalex.org/W4300698561","https://openalex.org/W4382119333","https://openalex.org/W2049965824","https://openalex.org/W2920915680","https://openalex.org/W3203058509"],"abstract_inverted_index":{"With":[0],"the":[1,97,108,112,123,137,145],"growing":[2],"demand":[3],"for":[4],"video":[5,10,48,73],"applications,":[6],"many":[7],"advanced":[8],"learned":[9,47,72],"compression":[11,49,74],"methods":[12,18,29],"have":[13,134],"been":[14],"developed,":[15],"outperforming":[16,144],"traditional":[17],"in":[19,71,102],"terms":[20],"of":[21,99,111],"objective":[22,33],"quality":[23,34,57,110],"metrics":[24],"such":[25],"as":[26],"PSNR.":[27],"Existing":[28],"primarily":[30],"focus":[31],"on":[32],"but":[35],"tend":[36],"to":[37,61,95,121,127],"overlook":[38],"perceptual":[39,43,56,142],"quality.":[40],"Directly":[41],"incorporating":[42],"loss":[44,120],"into":[45],"a":[46,77,89,117],"framework":[50,84],"is":[51],"non-trivial":[52],"and":[53,75,130],"raises":[54],"several":[55],"issues":[58,70],"that":[59,136],"need":[60],"be":[62],"addressed.":[63],"In":[64],"this":[65],"paper,":[66],"we":[67,87,115],"investigated":[68],"these":[69],"propose":[76],"novel":[78,90],"High":[79],"Visual-Fidelity":[80],"Learned":[81],"Video":[82],"Compression":[83],"(HVFVC).":[85],"Specifically,":[86],"design":[88],"confidence-based":[91],"feature":[92],"reconstruction":[93,101],"method":[94],"address":[96],"issue":[98],"poor":[100],"newly-emerged":[103],"regions,":[104],"which":[105],"significantly":[106],"improves":[107],"visual":[109],"reconstruction.":[113],"Furthermore,":[114],"present":[116],"periodic":[118],"compensation":[119],"mitigate":[122],"checkerboard":[124],"artifacts":[125],"related":[126],"deconvolution":[128],"operation":[129],"optimization.":[131],"Extensive":[132],"experiments":[133],"shown":[135],"proposed":[138],"HVFVC":[139],"achieves":[140],"excellent":[141],"quality,":[143],"latest":[146],"VVC":[147],"standard":[148],"with":[149],"only":[150],"50%":[151],"required":[152],"bitrate.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}