{"id":"https://openalex.org/W2099066201","doi":"https://doi.org/10.1109/wacv.2008.4544033","title":"Localization and Segmentation of A 2D High Capacity Color Barcode","display_name":"Localization and Segmentation of A 2D High Capacity Color Barcode","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2099066201","doi":"https://doi.org/10.1109/wacv.2008.4544033","mag":"2099066201"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2008.4544033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2008.4544033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Workshop on Applications of 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/A5050342343","display_name":"Devi Parikh","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Devi Parikh","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011154989","display_name":"Gavin Jancke","orcid":"https://orcid.org/0009-0001-1079-0769"},"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":"Gavin Jancke","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA","Microsoft Research, Redmond, WA 98052, gavinj@microsoft.com"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Research, Redmond, WA 98052, gavinj@microsoft.com","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050342343"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":21.8667,"has_fulltext":false,"cited_by_count":129,"citation_normalized_percentile":{"value":0.99248203,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13270","display_name":"QR Code Applications and Technologies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13270","display_name":"QR Code Applications and Technologies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9937000274658203,"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/barcode","display_name":"Barcode","score":0.9938322305679321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7621076107025146},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6073684692382812},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5784012079238892},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.53926020860672},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.48790308833122253},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4345831573009491},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41469883918762207},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10454440116882324}],"concepts":[{"id":"https://openalex.org/C2776841711","wikidata":"https://www.wikidata.org/wiki/Q856","display_name":"Barcode","level":2,"score":0.9938322305679321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7621076107025146},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6073684692382812},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5784012079238892},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.53926020860672},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.48790308833122253},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4345831573009491},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41469883918762207},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10454440116882324},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wacv.2008.4544033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2008.4544033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Workshop on Applications of Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.218.125","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://amp.ece.cmu.edu/Publication/Devi/ParikhJancke_WACV_2008_barcodes_update.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.41999998688697815,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2022686119","https://openalex.org/W2111308925","https://openalex.org/W2164500538"],"related_works":["https://openalex.org/W2256570403","https://openalex.org/W2074156223","https://openalex.org/W4391927655","https://openalex.org/W2103246366","https://openalex.org/W2901653204","https://openalex.org/W2102526470","https://openalex.org/W2613659923","https://openalex.org/W4378447789","https://openalex.org/W3207557903","https://openalex.org/W1522196789"],"abstract_inverted_index":{"A":[0],"2D":[1,81],"color":[2,54,82],"barcode":[3,32,44,55,83,113,116],"can":[4,26,56,118],"hold":[5,57],"much":[6],"more":[7,58],"information":[8,39],"than":[9],"a":[10,22,24,31,34,53,80,93,126],"binary":[11],"barcode.":[12],"Barcodes":[13],"are":[14],"often":[15],"intended":[16],"for":[17],"consumer":[18,25,66],"use":[19],"where":[20],"using":[21,48],"cellphone,":[23],"take":[27],"an":[28],"image":[29],"of":[30,79,96,98,112],"on":[33,92],"product,":[35],"and":[36,77,124],"retrieve":[37],"relevant":[38],"about":[40],"the":[41,75,109,115,120],"product.":[42],"The":[43],"must":[45],"be":[46],"read":[47],"computer":[49],"vision":[50,63,121],"techniques.":[51],"While":[52],"information,":[59],"it":[60],"makes":[61],"this":[62],"task":[64],"in":[65,84,135],"scenarios":[67,137],"unusually":[68],"challenging.":[69],"We":[70,107],"present":[71],"our":[72],"approach":[73],"to":[74,129],"localization":[76],"segmentation":[78],"such":[85],"challenging":[86],"scenarios,":[87],"along":[88],"with":[89],"its":[90],"evaluation":[91],"diverse":[94,136],"collection":[95],"images":[97],"Microsoft's":[99],"recently":[100],"launched":[101],"High":[102],"Capacity":[103],"Color":[104],"Barcode":[105],"(HCCB).":[106],"exploit":[108],"unique":[110],"trait":[111],"reading:":[114],"decoder":[117],"give":[119],"algorithm":[122],"feedback,":[123],"develop":[125],"progressive":[127],"strategy":[128],"achieve":[130],"both":[131],"-":[132],"high":[133],"accuracy":[134],"as":[138,140],"well":[139],"computational":[141],"efficiency.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":19},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":9}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}