{"id":"https://openalex.org/W1593606211","doi":"https://doi.org/10.1109/icip.2003.1246666","title":"Image compression with on-line and off-line learning","display_name":"Image compression with on-line and off-line learning","publication_year":2004,"publication_date":"2004-06-03","ids":{"openalex":"https://openalex.org/W1593606211","doi":"https://doi.org/10.1109/icip.2003.1246666","mag":"1593606211"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2003.1246666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1246666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5037568170","display_name":"P. Simard","orcid":"https://orcid.org/0000-0001-8371-7450"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P.Y. Simard","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA","[Microsoft Research,Redmond,WA,USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"[Microsoft Research,Redmond,WA,USA]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069708056","display_name":"Chris Burges","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C.J.C. Burges","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA","[Microsoft Research,Redmond,WA,USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"[Microsoft Research,Redmond,WA,USA]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082488349","display_name":"Donald C. Steinkraus","orcid":"https://orcid.org/0000-0003-3334-6270"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Steinkraus","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA","[Microsoft Research,Redmond,WA,USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"[Microsoft Research,Redmond,WA,USA]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087876461","display_name":"H.S. Malvar","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H.S. Malvar","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA","[Microsoft Research,Redmond,WA,USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"[Microsoft Research,Redmond,WA,USA]","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"II","last_page":"259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":1.0,"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":1.0,"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":0.9983000159263611,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.8734310269355774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6948034167289734},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6315416693687439},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.6257727146148682},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.5819398760795593},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5800628662109375},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5733315348625183},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5566973090171814},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5321157574653625},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5243383049964905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5241860747337341},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5212184190750122},{"id":"https://openalex.org/keywords/adaptive-coding","display_name":"Adaptive coding","score":0.48961931467056274},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4710181653499603},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4096243381500244},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.3393387198448181},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31012094020843506},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25317877531051636},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2332909107208252},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.10698762536048889}],"concepts":[{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.8734310269355774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6948034167289734},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6315416693687439},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.6257727146148682},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.5819398760795593},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5800628662109375},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5733315348625183},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5566973090171814},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5321157574653625},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5243383049964905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5241860747337341},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5212184190750122},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.48961931467056274},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4710181653499603},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4096243381500244},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.3393387198448181},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31012094020843506},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25317877531051636},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2332909107208252},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.10698762536048889},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2003.1246666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2003.1246666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.159.6456","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.159.6456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/en-us/um/people/cburges/papers/OOL_ICIP03.pdf","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":15,"referenced_works":["https://openalex.org/W199273009","https://openalex.org/W1873681175","https://openalex.org/W2021426070","https://openalex.org/W2065540158","https://openalex.org/W2108330041","https://openalex.org/W2118217749","https://openalex.org/W2133704659","https://openalex.org/W2133762675","https://openalex.org/W2137226992","https://openalex.org/W2145325002","https://openalex.org/W2151738694","https://openalex.org/W3017143921","https://openalex.org/W4302366751","https://openalex.org/W6680532697","https://openalex.org/W6681870754"],"related_works":["https://openalex.org/W2004422195","https://openalex.org/W2136537500","https://openalex.org/W2391847184","https://openalex.org/W2387280364","https://openalex.org/W2354680694","https://openalex.org/W2366609716","https://openalex.org/W2131702615","https://openalex.org/W2393432600","https://openalex.org/W2129652681","https://openalex.org/W2389208674"],"abstract_inverted_index":{"Images":[0],"typically":[1],"contain":[2],"smooth":[3],"regions,":[4],"which":[5,18,41,60],"are":[6,19],"easily":[7],"compressed":[8],"by":[9,85],"linear":[10],"transforms,":[11],"and":[12,40,67,128],"high":[13,62,97,107],"activity":[14,98,108,134],"regions":[15,109],"(edges,":[16],"textures),":[17],"harder":[20],"to":[21,45,101],"compress.":[22],"To":[23],"compress":[24],"the":[25,46,49,104,115,145],"first":[26],"kind,":[27],"we":[28,51,143],"use":[29,52,124],"a":[30,64],"\"zero\"":[31],"encoder":[32,127],"that":[33,142],"has":[34,61],"infinite":[35],"context,":[36,66],"very":[37,43],"low":[38,133],"capacity,":[39,63],"adapts":[42],"quickly":[44],"content.":[47],"For":[48],"second,":[50],"an":[53,125],"\"interpolation\"":[54],"encoder,":[55],"based":[56],"on":[57],"neural":[58],"networks,":[59],"finite-size":[65],"is":[68,93,129,140],"trained":[69],"off-line.":[70],"The":[71,81],"two":[72],"encoders":[73],"can":[74],"be":[75],"used":[76],"separately":[77],"or":[78],"in":[79,87,96,132,147],"combination.":[80],"zero-encoder":[82],"surpasses":[83],"JPEG2000":[84],"3.5%":[86],"overall":[88],"compression,":[89],"even":[90,119],"though":[91,120],"it":[92,112,121,139],"less":[94,130],"efficient":[95,131],"regions.":[99,135],"Thanks":[100],"off-line":[102],"training,":[103],"interpolation-encoder":[105],"predicts":[106],"well,":[110],"so":[111],"also":[113],"matches":[114],"performance":[116],"of":[117],"JPEG2000,":[118],"does":[122],"not":[123],"arithmetic":[126,153],"In":[136],"both":[137],"cases":[138],"surprising":[141],"match":[144],"state-of-the-art":[146],"image":[148],"compression":[149],"without":[150],"using":[151],"adaptive":[152],"encoding.":[154]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}