{"id":"https://openalex.org/W2805673305","doi":"https://doi.org/10.1109/icip.2018.8451502","title":"Image-Dependent Local Entropy Models for Learned Image Compression","display_name":"Image-Dependent Local Entropy Models for Learned Image Compression","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2805673305","doi":"https://doi.org/10.1109/icip.2018.8451502","mag":"2805673305"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1805.12295","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034317020","display_name":"David Minnen","orcid":"https://orcid.org/0000-0002-4235-5630"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Minnen","raw_affiliation_strings":["Google, Mountain View, CA, USA","[Google, Mountain View, CA, 94043 USA.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"[Google, Mountain View, CA, 94043 USA.]","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078347851","display_name":"George Toderici","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Toderici","raw_affiliation_strings":["Google, Mountain View, CA, USA","[Google, Mountain View, CA, 94043 USA.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"[Google, Mountain View, CA, 94043 USA.]","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020805724","display_name":"Saurabh Singh","orcid":"https://orcid.org/0000-0001-6974-3142"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saurabh Singh","raw_affiliation_strings":["Google, Mountain View, CA, USA","[Google, Mountain View, CA, 94043 USA.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"[Google, Mountain View, CA, 94043 USA.]","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074753447","display_name":"Sung Jin Hwang","orcid":"https://orcid.org/0000-0002-7571-7650"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sung Jin Hwang","raw_affiliation_strings":["Google, Mountain View, CA, USA","[Google, Mountain View, CA, 94043 USA.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"[Google, Mountain View, CA, 94043 USA.]","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054902123","display_name":"Michele Covell","orcid":"https://orcid.org/0000-0002-7486-5491"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michele Covell","raw_affiliation_strings":["Google, Mountain View, CA, USA","[Google, Mountain View, CA, 94043 USA.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"[Google, Mountain View, CA, 94043 USA.]","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.318,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61554506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"430","last_page":"434"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9993000030517578,"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/entropy","display_name":"Entropy (arrow of time)","score":0.6310284733772278},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.613246500492096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5717682242393494},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.557573139667511},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4949128031730652},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37407922744750977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3740060031414032},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3466726243495941},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3376901149749756},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29500019550323486}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6310284733772278},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.613246500492096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5717682242393494},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.557573139667511},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4949128031730652},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37407922744750977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3740060031414032},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3466726243495941},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3376901149749756},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29500019550323486},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icip.2018.8451502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1805.12295","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.12295","pdf_url":"https://arxiv.org/pdf/1805.12295","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":"text"},{"id":"mag:2805673305","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1805.12295.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1805.12295","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1805.12295","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1805.12295","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.12295","pdf_url":"https://arxiv.org/pdf/1805.12295","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2805673305.pdf"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W2040903332","https://openalex.org/W2073459066","https://openalex.org/W2552465432","https://openalex.org/W2616159609","https://openalex.org/W2732044853","https://openalex.org/W2963149687","https://openalex.org/W2963801130","https://openalex.org/W2964164354","https://openalex.org/W4237616289","https://openalex.org/W6634589695","https://openalex.org/W6668990524","https://openalex.org/W6694251005","https://openalex.org/W6734035190","https://openalex.org/W6735443624","https://openalex.org/W6736182379","https://openalex.org/W6738494155"],"related_works":["https://openalex.org/W2962802655","https://openalex.org/W3117424156","https://openalex.org/W3127062538","https://openalex.org/W3153645994","https://openalex.org/W3100419875","https://openalex.org/W3090392341","https://openalex.org/W2979873418","https://openalex.org/W2547977663","https://openalex.org/W3202711539","https://openalex.org/W3120355627","https://openalex.org/W3035922457","https://openalex.org/W2766199509","https://openalex.org/W3039750716","https://openalex.org/W2511538662","https://openalex.org/W1980875180","https://openalex.org/W2581766818","https://openalex.org/W2331128040","https://openalex.org/W3008137073","https://openalex.org/W2948996777","https://openalex.org/W2798627502"],"abstract_inverted_index":{"The":[0,44],"leading":[1],"approach":[2,32],"for":[3,25,90],"image":[4,93],"compression":[5],"with":[6,95,122],"artificial":[7],"neural":[8],"networks":[9],"(ANNs)":[10],"is":[11,47,57],"to":[12,77,79,101],"learn":[13,52],"a":[14,18,83,88,102,107,113,131],"nonlinear":[15],"transform":[16],"and":[17,62,117],"fixed":[19],"entropy":[20,42,54,134],"model":[21,55,76,111],"that":[22,30,48,56,72,99,126],"are":[23,127],"optimized":[24],"rate-distortion":[26],"performance.":[27],"We":[28,86],"show":[29],"this":[31],"can":[33],"be":[34],"significantly":[35],"improved":[36],"by":[37,130],"incorporating":[38],"spatially":[39],"local,":[40],"image-dependent":[41,96],"models.":[43],"key":[45],"insight":[46],"existing":[49],"ANN-based":[50,92,109],"methods":[51],"an":[53],"shared":[58],"between":[59],"the":[60,75,80],"encoder":[61],"decoder,":[63],"but":[64],"they":[65],"do":[66],"not":[67],"transmit":[68],"any":[69],"side":[70,97],"information":[71,98],"would":[73],"allow":[74],"adapt":[78],"structure":[81],"of":[82],"specific":[84],"image.":[85],"present":[87],"method":[89],"augmenting":[91],"coders":[94],"leads":[100],"17.8%":[103],"rate":[104],"reduction":[105],"over":[106],"state-of-the-art":[108],"baseline":[110],"on":[112,120],"standard":[114],"evaluation":[115],"set,":[116],"70-98%":[118],"reductions":[119],"images":[121],"low":[123],"visual":[124],"complexity":[125],"poorly":[128],"captured":[129],"fixed,":[132],"global":[133],"model.":[135]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
