{"id":"https://openalex.org/W2105029388","doi":"https://doi.org/10.1109/iccv.2007.4408905","title":"Efficient Message Representations for Belief Propagation","display_name":"Efficient Message Representations for Belief Propagation","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2105029388","doi":"https://doi.org/10.1109/iccv.2007.4408905","mag":"2105029388"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2007.4408905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4408905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","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/A5011802505","display_name":"Tian\u2013Li Yu","orcid":"https://orcid.org/0000-0002-0273-9330"},"institutions":[{"id":"https://openalex.org/I1333370159","display_name":"Motorola (United States)","ror":"https://ror.org/01hafxd32","country_code":"US","type":"company","lineage":["https://openalex.org/I1333370159"]},{"id":"https://openalex.org/I4210145666","display_name":"Embedded Systems (United States)","ror":"https://ror.org/04742eh45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianli Yu","raw_affiliation_strings":["Embedded Systems Research, Motorola Research Laboratories, Schaumburg, IL, USA","Motorola Labs, Schaumburg,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Systems Research, Motorola Research Laboratories, Schaumburg, IL, USA","institution_ids":["https://openalex.org/I1333370159","https://openalex.org/I4210145666"]},{"raw_affiliation_string":"Motorola Labs, Schaumburg,","institution_ids":["https://openalex.org/I1333370159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103459701","display_name":"Ruei-Sung Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I1333370159","display_name":"Motorola (United States)","ror":"https://ror.org/01hafxd32","country_code":"US","type":"company","lineage":["https://openalex.org/I1333370159"]},{"id":"https://openalex.org/I4210145666","display_name":"Embedded Systems (United States)","ror":"https://ror.org/04742eh45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruei-Sung Lin","raw_affiliation_strings":["Embedded Systems Research, Motorola Research Laboratories, Schaumburg, IL, USA","Motorola Labs, Schaumburg,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Systems Research, Motorola Research Laboratories, Schaumburg, IL, USA","institution_ids":["https://openalex.org/I1333370159","https://openalex.org/I4210145666"]},{"raw_affiliation_string":"Motorola Labs, Schaumburg,","institution_ids":["https://openalex.org/I1333370159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044472117","display_name":"Boaz J. Super","orcid":null},"institutions":[{"id":"https://openalex.org/I1333370159","display_name":"Motorola (United States)","ror":"https://ror.org/01hafxd32","country_code":"US","type":"company","lineage":["https://openalex.org/I1333370159"]},{"id":"https://openalex.org/I4210145666","display_name":"Embedded Systems (United States)","ror":"https://ror.org/04742eh45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Boaz Super","raw_affiliation_strings":["Embedded Systems Research, Motorola Research Laboratories, Schaumburg, IL, USA","Motorola Labs, Schaumburg,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Systems Research, Motorola Research Laboratories, Schaumburg, IL, USA","institution_ids":["https://openalex.org/I1333370159","https://openalex.org/I4210145666"]},{"raw_affiliation_string":"Motorola Labs, Schaumburg,","institution_ids":["https://openalex.org/I1333370159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036708157","display_name":"Bei Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I1333370159","display_name":"Motorola (United States)","ror":"https://ror.org/01hafxd32","country_code":"US","type":"company","lineage":["https://openalex.org/I1333370159"]},{"id":"https://openalex.org/I4210145666","display_name":"Embedded Systems (United States)","ror":"https://ror.org/04742eh45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bei Tang","raw_affiliation_strings":["Embedded Systems Research, Motorola Research Laboratories, Schaumburg, IL, USA","Motorola Labs, Schaumburg,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Systems Research, Motorola Research Laboratories, Schaumburg, IL, USA","institution_ids":["https://openalex.org/I1333370159","https://openalex.org/I4210145666"]},{"raw_affiliation_string":"Motorola Labs, Schaumburg,","institution_ids":["https://openalex.org/I1333370159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6066,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.95030319,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9972000122070312,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9958999752998352,"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":0.6838583946228027},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.6632471084594727},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5588501691818237},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4891982078552246},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.4417654275894165},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4128144681453705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37598860263824463},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.3740886151790619},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3623722791671753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2441575825214386}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6838583946228027},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.6632471084594727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5588501691818237},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4891982078552246},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.4417654275894165},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4128144681453705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37598860263824463},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3740886151790619},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3623722791671753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2441575825214386},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccv.2007.4408905","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4408905","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1518641734","https://openalex.org/W1973511876","https://openalex.org/W2107422845","https://openalex.org/W2107986793","https://openalex.org/W2110407935","https://openalex.org/W2112421488","https://openalex.org/W2123782934","https://openalex.org/W2140789035","https://openalex.org/W2155479981","https://openalex.org/W2156226240","https://openalex.org/W2163364417","https://openalex.org/W2165949176","https://openalex.org/W2167947196","https://openalex.org/W6676124887","https://openalex.org/W6680866351","https://openalex.org/W6682882539","https://openalex.org/W6683951949","https://openalex.org/W7009134754"],"related_works":["https://openalex.org/W4307680413","https://openalex.org/W2963817320","https://openalex.org/W2493667298","https://openalex.org/W2101147641","https://openalex.org/W3080746295","https://openalex.org/W2356695932","https://openalex.org/W2521082822","https://openalex.org/W2511191118","https://openalex.org/W4312422976","https://openalex.org/W4317438041"],"abstract_inverted_index":{"Belief":[0],"propagation":[1],"(BP)":[2],"has":[3,142],"been":[4],"successfully":[5],"used":[6],"to":[7,30,45,61,72,160],"approximate":[8],"the":[9,32,46,55,62,65,74,79,125,134,143,150,153,188],"solutions":[10],"of":[11,28,57,152,202],"various":[12],"Markov":[13],"random":[14],"field":[15],"(MRF)":[16],"formulated":[17],"energy":[18],"minimization":[19],"problems.":[20],"However,":[21],"large":[22],"MRFs":[23],"require":[24],"a":[25,108,169],"significant":[26,200],"amount":[27],"memory":[29,75],"store":[31],"intermediate":[33],"belief":[34],"messages.":[35],"We":[36,82,92],"observe":[37],"that":[38,85,145,187],"these":[39],"messages":[40,63],"have":[41,185],"redundant":[42],"information":[43],"due":[44],"imposed":[47],"smoothness":[48,139,165],"prior.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"study":[54],"feasibility":[56],"applying":[58],"compression":[59,96,173,198],"techniques":[60],"in":[64,124],"min-sum/max-product":[66],"BP":[67],"algorithm":[68],"with":[69,133,177],"1D":[70],"labels":[71],"improve":[73],"efficiency":[76],"and":[77,100,105,119,167,191],"reduce":[78],"read/write":[80],"bandwidth.":[81],"articulate":[83],"properties":[84],"an":[86],"efficient":[87,118],"message":[88],"representation":[89],"should":[90],"satisfy.":[91],"investigate":[93],"two":[94],"common":[95],"schemes,":[97],"predictive":[98,178,189],"coding":[99,103,116],"linear":[101,121],"transform":[102,112],"(PCA),":[104],"then":[106],"propose":[107],"novel":[109],"envelope":[110],"point":[111],"(EPT)":[113],"method.":[114],"Predictive":[115],"is":[117,130,157],"supports":[120],"operations":[122],"directly":[123],"compressed":[126],"domain,":[127],"but":[128],"it":[129,146],"only":[131],"compatible":[132],"L":[135,161],"<sub":[136,162],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[137,163],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[138,164],"function.":[140],"PCA":[141],"disadvantage":[144],"does":[147],"not":[148,158],"guarantee":[149],"preservation":[151],"minimal":[154],"label.":[155],"EPT":[156,192],"limited":[159],"cost":[166],"allows":[168],"flexible":[170],"quality":[171],"vs.":[172],"ratio":[174],"tradeoff":[175],"compared":[176],"coding.":[179],"Experiments":[180],"on":[181],"dense":[182],"stereo":[183],"reconstruction":[184],"shown":[186],"scheme":[190],"can":[193],"achieve":[194],"8times":[195],"or":[196],"more":[197],"without":[199],"loss":[201],"depth":[203],"accuracy.":[204]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}