{"id":"https://openalex.org/W3208305170","doi":"https://doi.org/10.1109/vl/hcc51201.2021.9576341","title":"Guided Optimization for Image Processing Pipelines","display_name":"Guided Optimization for Image Processing Pipelines","publication_year":2021,"publication_date":"2021-10-10","ids":{"openalex":"https://openalex.org/W3208305170","doi":"https://doi.org/10.1109/vl/hcc51201.2021.9576341","mag":"3208305170"},"language":"en","primary_location":{"id":"doi:10.1109/vl/hcc51201.2021.9576341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vl/hcc51201.2021.9576341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","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/A5056230848","display_name":"Yuka Ikarashi","orcid":"https://orcid.org/0000-0001-5255-0918"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuka Ikarashi","raw_affiliation_strings":["MIT CSAIL"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023577472","display_name":"Jonathan Ragan\u2010Kelley","orcid":"https://orcid.org/0000-0001-6243-9543"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jonathan Ragan-Kelley","raw_affiliation_strings":["MIT CSAIL"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041114791","display_name":"Tsukasa Fukusato","orcid":"https://orcid.org/0000-0002-5090-1443"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsukasa Fukusato","raw_affiliation_strings":["The University of Tokyo"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065162551","display_name":"Jun Kato","orcid":"https://orcid.org/0000-0003-4832-8024"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Kato","raw_affiliation_strings":["AIST","MIT CSAIL 1 , The University of Tokyo"],"affiliations":[{"raw_affiliation_string":"AIST","institution_ids":[]},{"raw_affiliation_string":"MIT CSAIL 1 , The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102743150","display_name":"Takeo Igarashi","orcid":"https://orcid.org/0000-0002-5495-6441"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeo Igarashi","raw_affiliation_strings":["The University of Tokyo"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056230848"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61542484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9962999820709229,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9962999820709229,"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/T11338","display_name":"Advancements in Photolithography Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9936000108718872,"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":0.6443649530410767},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.623245894908905},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5489752888679504},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37176966667175293},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.369922399520874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3554953932762146},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13777384161949158},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.07454907894134521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6443649530410767},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.623245894908905},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5489752888679504},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37176966667175293},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.369922399520874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3554953932762146},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13777384161949158},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.07454907894134521}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vl/hcc51201.2021.9576341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vl/hcc51201.2021.9576341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G7714419362","display_name":null,"funder_award_id":"JPMJCR20D4","funder_id":"https://openalex.org/F4320320907","funder_display_name":"Japan Science and Technology Corporation"},{"id":"https://openalex.org/G8019391025","display_name":null,"funder_award_id":"JP19K20316","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320320907","display_name":"Japan Science and Technology Corporation","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W37867413","https://openalex.org/W1989988531","https://openalex.org/W2055312318","https://openalex.org/W2108958711","https://openalex.org/W2111642396","https://openalex.org/W2113077178","https://openalex.org/W2127184512","https://openalex.org/W2144433126","https://openalex.org/W2149498749","https://openalex.org/W2753713840","https://openalex.org/W2765399661","https://openalex.org/W2780519750","https://openalex.org/W2796075754","https://openalex.org/W2808737175","https://openalex.org/W2905135312","https://openalex.org/W2961619211","https://openalex.org/W2977371611","https://openalex.org/W3030160601","https://openalex.org/W3049119995","https://openalex.org/W3101330584","https://openalex.org/W4244637048","https://openalex.org/W4256386389"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Writing":[0],"high-performance":[1],"image":[2,46,82],"processing":[3,47,83],"code":[4,48],"is":[5],"challenging":[6],"and":[7,31,43,70,78,94,98,106],"labor-intensive.":[8],"To":[9],"address":[10],"this,":[11],"we":[12],"propose":[13],"a":[14,25,60,87],"programming":[15],"support":[16,75],"method":[17],"called":[18],"\u201cguided":[19],"optimization.\u201d":[20],"Guided":[21],"optimization":[22,29,101],"provides":[23],"programmers":[24,93],"set":[26],"of":[27,54,80],"valid":[28],"options":[30],"interactive":[32],"feedback":[33],"about":[34],"their":[35],"current":[36],"choices,":[37],"which":[38,64],"enables":[39],"them":[40],"to":[41,74],"comprehend":[42],"efficiently":[44],"optimize":[45],"without":[49],"the":[50,76],"time-consuming":[51],"trial-and-error":[52],"process":[53],"traditional":[55],"text":[56],"editors.":[57],"We":[58,85],"implemented":[59],"proof-of-concept":[61],"system,":[62],"Roly-poly,":[63],"integrates":[65],"guided":[66,100],"optimization,":[67],"program":[68],"visualization,":[69],"schedule":[71],"cost":[72],"estimation":[73],"comprehension":[77],"development":[79],"efficient":[81],"code.":[84],"conducted":[86],"user":[88],"study":[89],"with":[90],"novice":[91],"Halide":[92],"confirmed":[95],"that":[96],"Roly-poly":[97],"its":[99],"was":[102],"informative,":[103],"increased":[104],"productivity,":[105],"resulted":[107],"in":[108,111],"higher-performing":[109],"schedules":[110],"less":[112],"time.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}