{"id":"https://openalex.org/W2985680812","doi":"https://doi.org/10.1109/iccv.2019.00714","title":"Non-Local ConvLSTM for Video Compression Artifact Reduction","display_name":"Non-Local ConvLSTM for Video Compression Artifact Reduction","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2985680812","doi":"https://doi.org/10.1109/iccv.2019.00714","mag":"2985680812"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2019.00714","doi":"https://doi.org/10.1109/iccv.2019.00714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2019.00714","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.12286","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018343158","display_name":"Yi Xu","orcid":"https://orcid.org/0000-0003-2126-6054","observed_orcids":["https://orcid.org/0000-0003-2126-6054","https://orcid.org/0000-0003-4429-5982","https://orcid.org/0000-0002-0503-183X"]},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Xu","raw_affiliation_strings":["Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017145972","display_name":"Longwen Gao","orcid":"https://orcid.org/0009-0000-0621-2950","observed_orcids":["https://orcid.org/0009-0000-0621-2950"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Longwen Gao","raw_affiliation_strings":["Bilibili, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilibili, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kai Tian","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Tian","raw_affiliation_strings":["Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017862559","display_name":"Shuigeng Zhou","orcid":"https://orcid.org/0000-0002-1949-2768","observed_orcids":["https://orcid.org/0000-0002-1949-2768"]},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuigeng Zhou","raw_affiliation_strings":["Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029306322","display_name":"Huyang Sun","orcid":"https://orcid.org/0009-0001-6679-1859","observed_orcids":["https://orcid.org/0009-0001-6679-1859"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huyang Sun","raw_affiliation_strings":["Bilibili, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilibili, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2379,"has_fulltext":true,"cited_by_count":84,"citation_normalized_percentile":{"value":0.95635159,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"7042","last_page":"7051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.7178000211715698,"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":0.7178000211715698,"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":0.12549999356269836,"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"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.09139999747276306,"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/non-local-attention","display_name":"non-local attention","score":0.6729999780654907},{"id":"https://openalex.org/keywords/video-super-resolution","display_name":"video super-resolution","score":0.44999998807907104},{"id":"https://openalex.org/keywords/spatiotemporal-dependencies","display_name":"spatiotemporal dependencies","score":0.7940000295639038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8364831209182739},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.771526575088501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7245649099349976},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.721729576587677},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.6195148825645447},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5706285834312439},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5342615842819214},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.507719874382019},{"id":"https://openalex.org/C204641915","wikidata":"https://www.wikidata.org/wiki/Q7315509","display_name":"Residual frame","level":4,"score":0.4933704435825348},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.466513067483902},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3909146785736084},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.3541204333305359},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1465025544166565},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.12651807069778442},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.106374591588974},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv.2019.00714","doi":"https://doi.org/10.1109/iccv.2019.00714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2019.00714","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"IEEE/CVF International Conference on Computer Vision (ICCV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1910.12286","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.12286","pdf_url":"https://arxiv.org/pdf/1910.12286","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1910.12286","doi":"https://doi.org/10.48550/arxiv.1910.12286","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1910.12286","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.12286","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.12286","pdf_url":"https://arxiv.org/pdf/1910.12286","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2985680812.pdf","grobid_xml":"https://content.openalex.org/works/W2985680812.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1522301498","https://openalex.org/W1946766895","https://openalex.org/W1978280057","https://openalex.org/W1984077106","https://openalex.org/W2056370875","https://openalex.org/W2085758610","https://openalex.org/W2097073572","https://openalex.org/W2108569186","https://openalex.org/W2114586165","https://openalex.org/W2117539524","https://openalex.org/W2127292171","https://openalex.org/W2141620200","https://openalex.org/W2142683286","https://openalex.org/W2146395539","https://openalex.org/W2163605009","https://openalex.org/W2320725294","https://openalex.org/W2345337169","https://openalex.org/W2508457857","https://openalex.org/W2510648513","https://openalex.org/W2519021537","https://openalex.org/W2520164769","https://openalex.org/W2553668389","https://openalex.org/W2557227117","https://openalex.org/W2604885021","https://openalex.org/W2607903451","https://openalex.org/W2612222456","https://openalex.org/W2613155248","https://openalex.org/W2625614184","https://openalex.org/W2752154940","https://openalex.org/W2753574358","https://openalex.org/W2753778655","https://openalex.org/W2757828535","https://openalex.org/W2769654144","https://openalex.org/W2781335552","https://openalex.org/W2783348085","https://openalex.org/W2792766850","https://openalex.org/W2798309955","https://openalex.org/W2798664922","https://openalex.org/W2805163084","https://openalex.org/W2805582514","https://openalex.org/W2890577598","https://openalex.org/W2891179842","https://openalex.org/W2895361760","https://openalex.org/W2895957955","https://openalex.org/W2915260409","https://openalex.org/W2962737939","https://openalex.org/W2962935835","https://openalex.org/W2963091558","https://openalex.org/W2963391718","https://openalex.org/W2964040059","https://openalex.org/W2964121744","https://openalex.org/W2964125708","https://openalex.org/W3102015846","https://openalex.org/W6664401941","https://openalex.org/W6754863559","https://openalex.org/W6759020213"],"related_works":["https://openalex.org/W3198270871","https://openalex.org/W2978788334","https://openalex.org/W3082903046","https://openalex.org/W4382240133","https://openalex.org/W2922674891","https://openalex.org/W4281478935","https://openalex.org/W2980692634","https://openalex.org/W3205818350","https://openalex.org/W4205368996","https://openalex.org/W4385253760"],"abstract_inverted_index":{"Video":[0],"compression":[1],"artifact":[2],"reduction":[3],"aims":[4],"to":[5,107,148],"recover":[6],"high-quality":[7,48,68],"videos":[8],"from":[9,152],"low-quality":[10,45,71],"compressed":[11],"videos.":[12],"Most":[13],"existing":[14,169],"approaches":[15],"use":[16],"a":[17,22,82,118,130,150,154],"single":[18],"neighboring":[19,25],"frame":[20,147,157],"or":[21],"pair":[23],"of":[24,39,54,144],"frames":[26,38,53,64,143],"(preceding":[27],"and/or":[28],"following":[29,142],"the":[30,114,125,139,145,168],"target":[31,146],"frame)":[32],"for":[33],"this":[34,78],"task.":[35],"Furthermore,":[36],"as":[37],"high":[40],"quality":[41,56,156],"overall":[42],"may":[43,50,66],"contain":[44],"patches,":[46],"and":[47,112,132,141],"patches":[49],"exist":[51],"in":[52,70,77,92,105,117,129],"low":[55,133],"overall,":[57],"current":[58],"methods":[59],"focusing":[60],"on":[61,161],"nearby":[62],"peak-quality":[63],"(PQFs)":[65],"miss":[67],"details":[69],"frames.":[72,98],"To":[73],"remedy":[74],"these":[75],"shortcomings,":[76],"paper":[79],"we":[80],"propose":[81],"novel":[83],"end-to-end":[84],"deep":[85],"neural":[86],"network":[87],"called":[88],"non-local":[89,101,126],"ConvLSTM":[90],"(NL-ConvLSTM":[91],"short)":[93],"that":[94,165],"exploits":[95],"multiple":[96],"consecutive":[97],"An":[99],"approximate":[100,122],"strategy":[102,123],"is":[103,158],"introduced":[104],"NL-ConvLSTM":[106,166],"capture":[108],"global":[109],"motion":[110],"patterns":[111],"trace":[113],"spatiotemporal":[115],"dependency":[116],"video":[119],"sequence.":[120],"This":[121],"makes":[124],"module":[127],"work":[128],"fast":[131],"space-cost":[134],"way.":[135],"Our":[136],"method":[137],"uses":[138],"preceding":[140],"generate":[149],"residual,":[151],"which":[153],"higher":[155],"reconstructed.":[159],"Experiments":[160],"two":[162],"datasets":[163],"show":[164],"outperforms":[167],"methods.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":8}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2019-11-22T00:00:00"}