{"id":"https://openalex.org/W2523784615","doi":"https://doi.org/10.1109/icmew.2016.7574731","title":"Design of image barcodes for future mobile advertising","display_name":"Design of image barcodes for future mobile advertising","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2523784615","doi":"https://doi.org/10.1109/icmew.2016.7574731","mag":"2523784615"},"language":"en","primary_location":{"id":"doi:10.1109/icmew.2016.7574731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2016.7574731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","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/A5041279216","display_name":"Kuan-Yu Chi","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Yu Chi","raw_affiliation_strings":["Grad. Inst. of Automation Technology, Taipei Tech. U., Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Grad. Inst. of Automation Technology, Taipei Tech. U., Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101651291","display_name":"Kai\u2010Lung Hua","orcid":"https://orcid.org/0000-0002-7735-243X"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Lung Hua","raw_affiliation_strings":["Dept. of Computer Science and Information Eng., Taiwan Tech. U., Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Information Eng., Taiwan Tech. U., Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026077459","display_name":"Tsung-Ren Huang","orcid":"https://orcid.org/0000-0003-4396-7943"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Ren Huang","raw_affiliation_strings":["Dept. of Psychology, National Taiwan U., Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Psychology, National Taiwan U., Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006886162","display_name":"Yung-Yao Chen","orcid":"https://orcid.org/0000-0001-6852-8862"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yung-Yao Chen","raw_affiliation_strings":["Grad. Inst. of Automation Technology, Taipei Tech. U., Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Grad. Inst. of Automation Technology, Taipei Tech. U., Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12889422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","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":0.9998000264167786,"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9944000244140625,"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/T11666","display_name":"Color Science and Applications","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/halftone","display_name":"Halftone","score":0.9100988507270813},{"id":"https://openalex.org/keywords/barcode","display_name":"Barcode","score":0.8970626592636108},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7652016878128052},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49421432614326477},{"id":"https://openalex.org/keywords/dither","display_name":"Dither","score":0.43723559379577637},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4293992519378662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42829108238220215},{"id":"https://openalex.org/keywords/information-hiding","display_name":"Information hiding","score":0.428221732378006},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.4142630398273468},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4120224714279175},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3597862422466278},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3470645546913147},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3393566608428955},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11708095669746399}],"concepts":[{"id":"https://openalex.org/C2777635815","wikidata":"https://www.wikidata.org/wiki/Q1110021","display_name":"Halftone","level":3,"score":0.9100988507270813},{"id":"https://openalex.org/C2776841711","wikidata":"https://www.wikidata.org/wiki/Q856","display_name":"Barcode","level":2,"score":0.8970626592636108},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7652016878128052},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49421432614326477},{"id":"https://openalex.org/C70451592","wikidata":"https://www.wikidata.org/wiki/Q376493","display_name":"Dither","level":3,"score":0.43723559379577637},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4293992519378662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42829108238220215},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.428221732378006},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.4142630398273468},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4120224714279175},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3597862422466278},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3470645546913147},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3393566608428955},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11708095669746399},{"id":"https://openalex.org/C9083635","wikidata":"https://www.wikidata.org/wiki/Q2133535","display_name":"Noise shaping","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew.2016.7574731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew.2016.7574731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W285661276","https://openalex.org/W1483769964","https://openalex.org/W1563286089","https://openalex.org/W1618132901","https://openalex.org/W1970489192","https://openalex.org/W1974212587","https://openalex.org/W1996282992","https://openalex.org/W2031634294","https://openalex.org/W2041513751","https://openalex.org/W2044666758","https://openalex.org/W2055807385","https://openalex.org/W2063529666","https://openalex.org/W2069222789","https://openalex.org/W2086982429","https://openalex.org/W2089799694","https://openalex.org/W2097458137","https://openalex.org/W2099202463","https://openalex.org/W2099662762","https://openalex.org/W2099765213","https://openalex.org/W2102088115","https://openalex.org/W2104578160","https://openalex.org/W2112087402","https://openalex.org/W2116467329","https://openalex.org/W2142513447","https://openalex.org/W2149738284","https://openalex.org/W2151103935","https://openalex.org/W2152128675","https://openalex.org/W2164413944","https://openalex.org/W2165227743","https://openalex.org/W2166135831","https://openalex.org/W2182281827","https://openalex.org/W2208958634","https://openalex.org/W2395826091","https://openalex.org/W2616163540","https://openalex.org/W4255158703","https://openalex.org/W6675777263","https://openalex.org/W6712472698"],"related_works":["https://openalex.org/W2147758750","https://openalex.org/W2169172224","https://openalex.org/W2020245493","https://openalex.org/W2762579005","https://openalex.org/W1993315740","https://openalex.org/W1749173910","https://openalex.org/W764555139","https://openalex.org/W2116595504","https://openalex.org/W2002739498","https://openalex.org/W2543386930"],"abstract_inverted_index":{"Mobile":[0],"advertising":[1,21],"refers":[2],"to":[3,14,140,158,195],"communication":[4],"in":[5,75,85,145,174,212],"which":[6],"mobile":[7,20,29,64,119],"phones":[8],"are":[9,24,69,135],"used":[10,71,194],"as":[11,91],"a":[12,26,34,37,44,124,180,209],"medium":[13],"efficiently":[15],"attract":[16],"potential":[17],"customers.":[18],"Among":[19],"applications,":[22],"barcodes":[23,68,89],"becoming":[25],"very":[27],"powerful":[28],"commerce":[30],"tool.":[31],"By":[32],"capturing":[33],"barcode":[35,97,110],"with":[36],"camera":[38],"scanner,":[39],"people":[40],"can":[41],"easily":[42],"access":[43],"wealth":[45],"of":[46,55,94,102,107,214],"information":[47,74],"online.":[48],"Barcodes":[49],"have":[50,79],"thus":[51,113],"converted":[52],"hard":[53],"copies":[54],"newspapers,":[56],"wallpapers,":[57],"and":[58,112,132,217],"magazines":[59],"into":[60,137,164],"crucial":[61],"platforms":[62],"for":[63,72,117,128,149],"commerce.":[65],"However,":[66],"although":[67],"frequently":[70],"embedding":[73],"printed":[76],"matter,":[77],"they":[78],"unsightly":[80],"overt":[81],"patterns.":[82],"Concealing":[83],"data":[84,170,218],"visually":[86],"meaningful":[87],"image":[88,163,199,215],"(such":[90],"trademarks)":[92],"instead":[93],"using":[95,108,179],"extra":[96],"areas":[98],"has":[99],"the":[100,104,138,146,160,175,197,205],"advantage":[101],"increasing":[103],"added":[105],"value":[106],"conventional":[109],"patterns,":[111],"it":[114],"is":[115],"desirable":[116],"future":[118],"advertising.":[120],"This":[121],"paper":[122],"presents":[123],"novel":[125],"data-hiding":[126],"method":[127,139,207,211],"halftone":[129,166,176],"images.":[130],"Data-hiding":[131],"halftoning":[133,147],"algorithms":[134],"integrated":[136],"prevent":[141],"extreme":[142],"bi-level":[143],"quantization":[144],"process,":[148],"printing":[150],"purposes.":[151],"We":[152],"first":[153],"applied":[154],"regular":[155],"ordered":[156],"dithering":[157],"divide":[159],"input":[161],"continuous-tone":[162],"discrete-parameter":[165],"cells.":[167],"The":[168],"hidden":[169],"message":[171],"was":[172,192],"embedded":[173],"cells":[177],"by":[178],"screen":[181],"column-shift":[182],"method.":[183],"A":[184],"modified":[185],"direct":[186],"binary":[187],"search":[188],"(DBS)":[189],"optimization":[190],"framework":[191],"then":[193],"enhance":[196],"output":[198],"quality.":[200],"Simulation":[201],"results":[202],"demonstrated":[203],"that":[204],"proposed":[206],"outperformed":[208],"state-of-the-art":[210],"terms":[213],"quality":[216],"capacity.":[219]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}