{"id":"https://openalex.org/W4317600293","doi":"https://doi.org/10.1109/pcs56426.2022.10018052","title":"Improving The Reconstruction Quality by Overfitted Decoder Bias in Neural Image Compression","display_name":"Improving The Reconstruction Quality by Overfitted Decoder Bias in Neural Image Compression","publication_year":2022,"publication_date":"2022-12-07","ids":{"openalex":"https://openalex.org/W4317600293","doi":"https://doi.org/10.1109/pcs56426.2022.10018052"},"language":"en","primary_location":{"id":"doi:10.1109/pcs56426.2022.10018052","doi":"https://doi.org/10.1109/pcs56426.2022.10018052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs56426.2022.10018052","pdf_url":null,"source":{"id":"https://openalex.org/S4306420709","display_name":"Picture Coding Symposium","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":"2022 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2210.04898","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069769752","display_name":"Oussama Jourairi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oussama Jourairi","raw_affiliation_strings":["InterDigital, Inc., Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InterDigital, Inc., Rennes, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040784126","display_name":"Muhammet Balc\u0131lar","orcid":"https://orcid.org/0000-0003-1428-4297","observed_orcids":["https://orcid.org/0000-0003-1428-4297"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muhammet Balcilar","raw_affiliation_strings":["InterDigital, Inc., Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InterDigital, Inc., Rennes, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Anne Lambert","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anne Lambert","raw_affiliation_strings":["InterDigital, Inc., Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InterDigital, Inc., Rennes, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018513384","display_name":"Fran\u00e7ois Schnitzler","orcid":"https://orcid.org/0000-0003-1304-2157","observed_orcids":["https://orcid.org/0000-0003-1304-2157"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francois Schnitzler","raw_affiliation_strings":["InterDigital, Inc., Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"InterDigital, Inc., Rennes, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2422,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53690923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"61","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.8773999810218811,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.8773999810218811,"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":0.11990000307559967,"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":0.0010999999940395355,"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/neural-image-compression","display_name":"neural image compression","score":0.9980000257492065},{"id":"https://openalex.org/keywords/overfitting","display_name":"overfitting","score":0.8069999814033508},{"id":"https://openalex.org/keywords/reconstruction-quality","display_name":"reconstruction quality","score":0.7670000195503235},{"id":"https://openalex.org/keywords/bd-rate","display_name":"BD-rate","score":0.8209999799728394},{"id":"https://openalex.org/keywords/encoding-time","display_name":"encoding time","score":0.46299999952316284},{"id":"https://openalex.org/keywords/signaling-cost","display_name":"signaling cost","score":0.6079999804496765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8106147050857544},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.7241143584251404},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6759319305419922},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6544203758239746},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6441173553466797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.605618417263031},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5780402421951294},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5339542627334595},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5170262455940247},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4437183737754822},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.4336884319782257},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4321499764919281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4287642538547516},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.42168253660202026},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3821052014827728},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2669316530227661},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23009157180786133},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06651157140731812},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/pcs56426.2022.10018052","doi":"https://doi.org/10.1109/pcs56426.2022.10018052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs56426.2022.10018052","pdf_url":null,"source":{"id":"https://openalex.org/S4306420709","display_name":"Picture Coding Symposium","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":"2022 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2210.04898","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.04898","pdf_url":"https://arxiv.org/pdf/2210.04898","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2210.04898","doi":"https://doi.org/10.48550/arxiv.2210.04898","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2210.04898","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:2210.04898","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.04898","pdf_url":"https://arxiv.org/pdf/2210.04898","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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/W4317600293.pdf","grobid_xml":"https://content.openalex.org/works/W4317600293.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2101700394","https://openalex.org/W2119047110","https://openalex.org/W2552465432","https://openalex.org/W2784067649","https://openalex.org/W2785562966","https://openalex.org/W2892278106","https://openalex.org/W2948593503","https://openalex.org/W2950237263","https://openalex.org/W2963502379","https://openalex.org/W2987947587","https://openalex.org/W3033487655","https://openalex.org/W3034469748","https://openalex.org/W3035047545","https://openalex.org/W3042579794","https://openalex.org/W3097448661","https://openalex.org/W3110286842","https://openalex.org/W3117485197","https://openalex.org/W3120355627","https://openalex.org/W3135530072","https://openalex.org/W3201765774","https://openalex.org/W3206996732","https://openalex.org/W3215581463","https://openalex.org/W6734035190"],"related_works":["https://openalex.org/W4317555471","https://openalex.org/W2943861973","https://openalex.org/W3120355627","https://openalex.org/W3215581463","https://openalex.org/W4414816492","https://openalex.org/W3035395570","https://openalex.org/W7134939655","https://openalex.org/W4390873640","https://openalex.org/W7168465441","https://openalex.org/W4317555479"],"abstract_inverted_index":{"End-to-end":[0],"trainable":[1],"models":[2,21],"have":[3],"reached":[4],"the":[5,17,55,80],"performance":[6],"of":[7,19,47,50],"traditional":[8],"handcrafted":[9],"compression":[10,77,84],"techniques":[11],"on":[12],"videos":[13],"and":[14,64],"images.":[15],"Since":[16],"parameters":[18],"these":[20],"are":[22,29],"learned":[23],"over":[24],"large":[25],"training":[26],"sets,":[27],"they":[28],"not":[30],"optimal":[31],"for":[32,60],"any":[33,75],"given":[34],"image":[35,83],"to":[36,53,74],"be":[37],"compressed.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42],"propose":[43],"an":[44],"instance-based":[45],"fine-tuning":[46],"a":[48],"subset":[49],"decoder\u2019s":[51],"bias":[52],"improve":[54],"reconstruction":[56],"quality":[57],"in":[58],"exchange":[59],"extra":[61],"encoding":[62],"time":[63],"minor":[65],"additional":[66],"signaling":[67],"cost.":[68],"The":[69],"proposed":[70],"method":[71],"is":[72],"applicable":[73],"end-to-end":[76],"methods,":[78],"improving":[79],"state-of-the-art":[81],"neural":[82],"BD-rate":[85],"by":[86],"3":[87],"\u2013":[88],"5%.":[89]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-01-21T00:00:00"}
