{"id":"https://openalex.org/W2166756842","doi":"https://doi.org/10.1162/089976699300016917","title":"JPEG Quality Transcoding Using Neural Networks Trained with a Perceptual Error Measure","display_name":"JPEG Quality Transcoding Using Neural Networks Trained with a Perceptual Error Measure","publication_year":1999,"publication_date":"1999-01-01","ids":{"openalex":"https://openalex.org/W2166756842","doi":"https://doi.org/10.1162/089976699300016917","mag":"2166756842","pmid":"https://pubmed.ncbi.nlm.nih.gov/9950733"},"language":"en","primary_location":{"id":"doi:10.1162/089976699300016917","is_oa":false,"landing_page_url":"https://doi.org/10.1162/089976699300016917","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5109893283","display_name":"John Lazzaro","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"John Lazzaro","raw_affiliation_strings":["Computer Science Division, University of California at Berkeley, Berkeley, CA 94720-1776, U.S.A"],"affiliations":[{"raw_affiliation_string":"Computer Science Division, University of California at Berkeley, Berkeley, CA 94720-1776, U.S.A","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044520704","display_name":"John Wawrzynek","orcid":"https://orcid.org/0009-0003-1466-4553"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Wawrzynek","raw_affiliation_strings":["Computer Science Division, University of California at Berkeley, Berkeley, CA 94720-1776, U.S.A"],"affiliations":[{"raw_affiliation_string":"Computer Science Division, University of California at Berkeley, Berkeley, CA 94720-1776, U.S.A","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109893283"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":1.9992,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87771827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"11","issue":"1","first_page":"267","last_page":"296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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/jpeg","display_name":"JPEG","score":0.82807457447052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7382224202156067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6803781986236572},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6139739155769348},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.6126815676689148},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.5932247638702393},{"id":"https://openalex.org/keywords/uncompressed-video","display_name":"Uncompressed video","score":0.5695961713790894},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5634417533874512},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5206353068351746},{"id":"https://openalex.org/keywords/transcoding","display_name":"Transcoding","score":0.49572670459747314},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4819314479827881},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.46619027853012085},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.45913177728652954},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.41638872027397156},{"id":"https://openalex.org/keywords/file-size","display_name":"File size","score":0.4135238826274872},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38332903385162354},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3309560716152191},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3097044825553894},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16572532057762146},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.09425649046897888}],"concepts":[{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.82807457447052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7382224202156067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6803781986236572},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6139739155769348},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.6126815676689148},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.5932247638702393},{"id":"https://openalex.org/C162478608","wikidata":"https://www.wikidata.org/wiki/Q4011369","display_name":"Uncompressed video","level":4,"score":0.5695961713790894},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5634417533874512},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5206353068351746},{"id":"https://openalex.org/C134535813","wikidata":"https://www.wikidata.org/wiki/Q1888734","display_name":"Transcoding","level":2,"score":0.49572670459747314},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4819314479827881},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.46619027853012085},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.45913177728652954},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.41638872027397156},{"id":"https://openalex.org/C2776029614","wikidata":"https://www.wikidata.org/wiki/Q1146367","display_name":"File size","level":2,"score":0.4135238826274872},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38332903385162354},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3309560716152191},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3097044825553894},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16572532057762146},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.09425649046897888},{"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/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1162/089976699300016917","is_oa":false,"landing_page_url":"https://doi.org/10.1162/089976699300016917","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:9950733","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/9950733","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.153.4349","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.4349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.berkeley.edu/~lazzaro/jqt/jqt.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.54.4113","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.4113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://http.cs.berkeley.edu/~lazzaro/jqt/jqt.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W78602796","https://openalex.org/W1667207954","https://openalex.org/W1985350327","https://openalex.org/W1991244327","https://openalex.org/W1993000041","https://openalex.org/W2036876150","https://openalex.org/W2052033414","https://openalex.org/W2059832556","https://openalex.org/W2102173687","https://openalex.org/W2114586165","https://openalex.org/W2140196014","https://openalex.org/W2152067846","https://openalex.org/W2154005911","https://openalex.org/W2165902704","https://openalex.org/W2766736793","https://openalex.org/W4285719527","https://openalex.org/W4377836556"],"related_works":["https://openalex.org/W1993099464","https://openalex.org/W1998280942","https://openalex.org/W4243959093","https://openalex.org/W3081285361","https://openalex.org/W3190486427","https://openalex.org/W2052516534","https://openalex.org/W1533892563","https://openalex.org/W4385625475","https://openalex.org/W2435828485","https://openalex.org/W2587891993"],"abstract_inverted_index":{"A":[0],"JPEG":[1,7,20,66],"Quality":[2],"Transcoder":[3],"(JQT)":[4],"converts":[5],"a":[6,18,45,53,77,112],"image":[8,15,21],"file":[9,22],"that":[10,43],"was":[11],"encoded":[12],"with":[13,23],"low":[14],"quality":[16],"to":[17,29,49,57],"larger":[19],"reduced":[24],"visual":[25,81],"artifacts,":[26],"without":[27],"access":[28],"the":[30,50,62,69,94],"original":[31],"uncompressed":[32],"image.":[33],"In":[34,68],"this":[35],"article,":[36],"we":[37,75],"describe":[38],"technology":[39],"for":[40,72],"JQT":[41],"design":[42],"takes":[44],"pattern":[46],"recognition":[47],"approach":[48],"problem,":[51],"using":[52,111],"database":[54,106],"of":[55,61,79,93,107,124],"images":[56,110],"train":[58],"statistical":[59],"models":[60],"artifacts":[63,95],"introduced":[64,96],"through":[65],"compression.":[67],"training":[70],"procedure":[71],"these":[73],"models,":[74],"use":[76],"model":[78],"human":[80],"perception":[82],"as":[83,100],"an":[84,103,120],"error":[85,114],"measure.":[86],"Our":[87],"current":[88],"prototype":[89],"system":[90],"removes":[91],"32.2%":[92],"by":[97],"moderate":[98],"compression,":[99],"measured":[101],"on":[102],"independent":[104],"test":[105],"linearly":[108],"coded":[109],"perceptual":[113],"metric.":[115],"This":[116],"improvement":[117],"results":[118],"in":[119],"average":[121],"PSNR":[122],"reduction":[123],"0.634":[125],"dB.":[126]},"counts_by_year":[{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
