{"id":"https://openalex.org/W2052700077","doi":"https://doi.org/10.4018/jmdem.2012040103","title":"K-Means Based Prediction of Transcoded JPEG File Size and Structural Similarity","display_name":"K-Means Based Prediction of Transcoded JPEG File Size and Structural Similarity","publication_year":2012,"publication_date":"2012-04-01","ids":{"openalex":"https://openalex.org/W2052700077","doi":"https://doi.org/10.4018/jmdem.2012040103","mag":"2052700077"},"language":"en","primary_location":{"id":"doi:10.4018/jmdem.2012040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jmdem.2012040103","pdf_url":null,"source":{"id":"https://openalex.org/S87630009","display_name":"International Journal of Multimedia Data Engineering and Management","issn_l":"1947-8534","issn":["1947-8534","1947-8542"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Data Engineering and Management","raw_type":"journal-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/A5073895148","display_name":"Steven Pigeon","orcid":"https://orcid.org/0000-0002-5559-8551"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Steven Pigeon","raw_affiliation_strings":["Universit\u00e9 de Montr\u00e9al, Canada","Universite de Montreal (Canada)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I70931966"]},{"raw_affiliation_string":"Universite de Montreal (Canada)","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043560654","display_name":"St\u00e9phane Coulombe","orcid":"https://orcid.org/0000-0003-4495-3906"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"St\u00e9phane Coulombe","raw_affiliation_strings":["\u00c9cole de Technologie Sup\u00e9rieure, Canada"],"affiliations":[{"raw_affiliation_string":"\u00c9cole de Technologie Sup\u00e9rieure, Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073895148"],"corresponding_institution_ids":["https://openalex.org/I70931966"],"apc_list":null,"apc_paid":null,"fwci":0.5491,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68400251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"3","issue":"2","first_page":"41","last_page":"57"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9983999729156494,"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/transcoding","display_name":"Transcoding","score":0.9064138531684875},{"id":"https://openalex.org/keywords/file-size","display_name":"File size","score":0.8701827526092529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8419598340988159},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.7789379954338074},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5743257403373718},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5093065500259399},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.463633269071579},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.4551808834075928},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.448982298374176},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41416609287261963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2563202977180481},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23772576451301575},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.17254406213760376},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.12244775891304016},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10204073786735535}],"concepts":[{"id":"https://openalex.org/C134535813","wikidata":"https://www.wikidata.org/wiki/Q1888734","display_name":"Transcoding","level":2,"score":0.9064138531684875},{"id":"https://openalex.org/C2776029614","wikidata":"https://www.wikidata.org/wiki/Q1146367","display_name":"File size","level":2,"score":0.8701827526092529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8419598340988159},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.7789379954338074},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5743257403373718},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5093065500259399},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.463633269071579},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.4551808834075928},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.448982298374176},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41416609287261963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2563202977180481},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23772576451301575},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.17254406213760376},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.12244775891304016},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10204073786735535},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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":2,"locations":[{"id":"doi:10.4018/jmdem.2012040103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jmdem.2012040103","pdf_url":null,"source":{"id":"https://openalex.org/S87630009","display_name":"International Journal of Multimedia Data Engineering and Management","issn_l":"1947-8534","issn":["1947-8534","1947-8542"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Multimedia Data Engineering and Management","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jmdem0:v:3:y:2012:i:2:p:41-57","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jmdem.2012040103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W20238972","https://openalex.org/W94194614","https://openalex.org/W1480376833","https://openalex.org/W1492380776","https://openalex.org/W1576475658","https://openalex.org/W1578415644","https://openalex.org/W1993020191","https://openalex.org/W2018584782","https://openalex.org/W2028294672","https://openalex.org/W2079355026","https://openalex.org/W2086959852","https://openalex.org/W2088079069","https://openalex.org/W2093762915","https://openalex.org/W2100563391","https://openalex.org/W2103718624","https://openalex.org/W2115665694","https://openalex.org/W2121739577","https://openalex.org/W2126783384","https://openalex.org/W2132100704","https://openalex.org/W2132958733","https://openalex.org/W2132996273","https://openalex.org/W2133665775","https://openalex.org/W2134383396","https://openalex.org/W2147717514","https://openalex.org/W2150593711","https://openalex.org/W2150616658","https://openalex.org/W2787894218","https://openalex.org/W2917583897","https://openalex.org/W4206836497"],"related_works":["https://openalex.org/W2441603424","https://openalex.org/W1993099464","https://openalex.org/W2044671111","https://openalex.org/W2542654834","https://openalex.org/W4243959093","https://openalex.org/W1994319845","https://openalex.org/W2159814397","https://openalex.org/W2435828485","https://openalex.org/W2052516534","https://openalex.org/W4385625475"],"abstract_inverted_index":{"The":[0,117],"problem":[1],"of":[2,22,59,78,84,109,128],"efficiently":[3],"adapting":[4],"JPEG":[5,79],"images":[6,80,103],"to":[7,31,54,72,104],"satisfy":[8],"given":[9,82],"constraints":[10,83],"such":[11],"as":[12,132],"maximum":[13],"file":[14,85,110],"size":[15,86,111],"and":[16,69,75,87,94,112],"resolution":[17],"arises":[18],"in":[19,48,139],"a":[20,43],"number":[21],"applications,":[23],"from":[24,115],"universal":[25],"media":[26],"access":[27],"for":[28,37],"mobile":[29],"browsing":[30],"multimedia":[32],"messaging":[33],"services.":[34],"However,":[35],"optimizing":[36],"perceived":[38],"quality":[39,113],"(user":[40],"experience)":[41],"commands":[42],"non-negligible":[44],"computational":[45],"cost":[46],"which":[47],"the":[49,57,65,121,126],"authors":[50,66,118],"work,":[51,64,91],"they":[52,92],"aim":[53],"minimize":[55],"by":[56,98],"use":[58],"low-cost":[60,74],"predictors.":[61],"In":[62,89],"previous":[63,137],"presented":[67],"predictors":[68],"predictor-based":[70],"systems":[71],"achieve":[73],"near-optimal":[76],"adaption":[77],"under":[81],"resolution.":[88],"this":[90],"extend":[93],"improve":[95],"these":[96],"solutions":[97],"including":[99],"more":[100,106],"information":[101],"about":[102],"obtain":[105],"accurate":[107],"predictions":[108],"resulting":[114],"transcoding.":[116],"show":[119],"that":[120],"proposed":[122],"method,":[123],"based":[124],"on":[125],"clustering":[127],"transcoding":[129],"operations":[130],"represented":[131],"high-dimensional":[133],"vectors,":[134],"significantly":[135],"outperforms":[136],"methods":[138],"accuracy.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}