{"id":"https://openalex.org/W4317555471","doi":"https://doi.org/10.1109/pcs56426.2022.10018064","title":"Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression","display_name":"Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression","publication_year":2022,"publication_date":"2022-12-07","ids":{"openalex":"https://openalex.org/W4317555471","doi":"https://doi.org/10.1109/pcs56426.2022.10018064"},"language":"en","primary_location":{"id":"doi:10.1109/pcs56426.2022.10018064","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/pcs56426.2022.10018064","pdf_url":null,"source":null,"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"},"type":"article","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/A5026443898","display_name":"Muhammet Balcilar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Muhammet Balcilar","raw_affiliation_strings":["InterDigital, Inc.,Rennes,France","InterDigital, Inc., Rennes, France"],"affiliations":[{"raw_affiliation_string":"InterDigital, Inc.,Rennes,France","institution_ids":[]},{"raw_affiliation_string":"InterDigital, Inc., Rennes, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020394666","display_name":"Bharath Bhushan Damodaran","orcid":"https://orcid.org/0000-0002-4466-017X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bharath Damodaran","raw_affiliation_strings":["InterDigital, Inc.,Rennes,France","InterDigital, Inc., Rennes, France"],"affiliations":[{"raw_affiliation_string":"InterDigital, Inc.,Rennes,France","institution_ids":[]},{"raw_affiliation_string":"InterDigital, Inc., Rennes, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041269156","display_name":"Pierre Hellier","orcid":"https://orcid.org/0000-0003-3603-2381"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pierre Hellier","raw_affiliation_strings":["InterDigital, Inc.,Rennes,France","InterDigital, Inc., Rennes, France"],"affiliations":[{"raw_affiliation_string":"InterDigital, Inc.,Rennes,France","institution_ids":[]},{"raw_affiliation_string":"InterDigital, Inc., Rennes, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026443898"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7046,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71139977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"31","issue":null,"first_page":"115","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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/T10901","display_name":"Advanced Data Compression 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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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":0.7520067095756531},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.6201494932174683},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5668813586235046},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.5603113770484924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5241625308990479},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5236089825630188},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.45929282903671265},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4210570454597473},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38431715965270996},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3325013220310211},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23132973909378052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7520067095756531},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.6201494932174683},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5668813586235046},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.5603113770484924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5241625308990479},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5236089825630188},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.45929282903671265},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4210570454597473},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38431715965270996},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3325013220310211},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23132973909378052},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pcs56426.2022.10018064","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/pcs56426.2022.10018064","pdf_url":null,"source":null,"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1656664476","https://openalex.org/W2119047110","https://openalex.org/W2552465432","https://openalex.org/W2566505556","https://openalex.org/W2785562966","https://openalex.org/W2913710883","https://openalex.org/W2949361041","https://openalex.org/W3021112549","https://openalex.org/W3033487655","https://openalex.org/W3034469748","https://openalex.org/W3035047545","https://openalex.org/W3091266734","https://openalex.org/W3094954034","https://openalex.org/W3097448661","https://openalex.org/W3110286842","https://openalex.org/W3117485197","https://openalex.org/W3120355627","https://openalex.org/W3206996732","https://openalex.org/W4287605633","https://openalex.org/W6640963894","https://openalex.org/W6734035190","https://openalex.org/W6748107402","https://openalex.org/W6751946200","https://openalex.org/W6754634825","https://openalex.org/W6763486759","https://openalex.org/W6778914582"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W3210332869","https://openalex.org/W2461250372","https://openalex.org/W2521595930","https://openalex.org/W4313046148","https://openalex.org/W2751842002","https://openalex.org/W2161981399","https://openalex.org/W3180760233","https://openalex.org/W2096442341","https://openalex.org/W4210455546"],"abstract_inverted_index":{"End-to-end":[0],"deep":[1,32,57],"trainable":[2,58],"models":[3],"are":[4,80],"about":[5],"to":[6,24,72,126,140],"exceed":[7],"the":[8,11,47,61,65,70,85,89,107,112,146,155],"performance":[9,90,109],"of":[10,46],"traditional":[12],"handcrafted":[13],"compression":[14,108,147],"techniques":[15],"on":[16,100,154],"videos":[17],"and":[18,60],"images.":[19],"The":[20,50,135],"core":[21],"idea":[22],"is":[23,52,91,138],"learn":[25],"a":[26,31,56,119,132],"non-linear":[27],"transformation,":[28],"modeled":[29],"as":[30,55],"neural":[33],"network,":[34,59],"mapping":[35],"input":[36],"image":[37,63],"into":[38],"latent":[39,48,71],"space,":[40],"jointly":[41],"with":[42],"an":[43],"entropy":[44],"model":[45],"distribution.":[49],"decoder":[51],"also":[53],"learned":[54,81],"reconstructed":[62],"measures":[64],"distortion.":[66],"These":[67],"methods":[68],"enforce":[69],"follow":[73],"some":[74],"prior":[75],"distributions.":[76],"Since":[77],"these":[78],"priors":[79],"by":[82,110,149],"optimization":[83],"over":[84],"entire":[86],"training":[87],"set,":[88],"optimal":[92],"in":[93],"average.":[94],"However,":[95],"it":[96],"cannot":[97],"fit":[98],"exactly":[99],"every":[101],"single":[102],"new":[103],"instance,":[104],"hence":[105],"damaging":[106],"enlarging":[111],"bit-stream.":[113],"In":[114],"this":[115,128],"paper,":[116],"we":[117],"propose":[118],"simple":[120],"yet":[121],"efficient":[122],"instance-based":[123],"parameterization":[124],"method":[125,137],"reduce":[127],"amortization":[129],"gap":[130],"at":[131],"minor":[133],"cost.":[134],"proposed":[136],"applicable":[139],"any":[141,152],"end-to-end":[142],"compressing":[143],"methods,":[144],"improving":[145],"bitrate":[148],"1%":[150],"without":[151],"impact":[153],"reconstruction":[156],"quality.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
