{"id":"https://openalex.org/W2935707923","doi":"https://doi.org/10.1109/qomex.2019.8743280","title":"The ALOS Dataset for Advert Localization in Outdoor Scenes","display_name":"The ALOS Dataset for Advert Localization in Outdoor Scenes","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2935707923","doi":"https://doi.org/10.1109/qomex.2019.8743280","mag":"2935707923"},"language":"en","primary_location":{"id":"doi:10.1109/qomex.2019.8743280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2019.8743280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1904.07776","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011772990","display_name":"Soumyabrata Dev","orcid":"https://orcid.org/0000-0002-0153-1095"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Soumyabrata Dev","raw_affiliation_strings":["ADAPT SFI Research Centre, Trinity College Dublin"],"affiliations":[{"raw_affiliation_string":"ADAPT SFI Research Centre, Trinity College Dublin","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060488574","display_name":"Murhaf Hossari","orcid":null},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Murhaf Hossari","raw_affiliation_strings":["ADAPT SFI Research Centre, Trinity College Dublin"],"affiliations":[{"raw_affiliation_string":"ADAPT SFI Research Centre, Trinity College Dublin","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066156946","display_name":"Matthew Nicholson","orcid":"https://orcid.org/0000-0002-6688-422X"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Matthew Nicholson","raw_affiliation_strings":["ADAPT SFI Research Centre, Trinity College Dublin"],"affiliations":[{"raw_affiliation_string":"ADAPT SFI Research Centre, Trinity College Dublin","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008172433","display_name":"Killian McCabe","orcid":null},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Killian McCabe","raw_affiliation_strings":["ADAPT SFI Research Centre, Trinity College Dublin"],"affiliations":[{"raw_affiliation_string":"ADAPT SFI Research Centre, Trinity College Dublin","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052673555","display_name":"Atul Nautiyal","orcid":null},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Atul Nautiyal Clare Conran","raw_affiliation_strings":["ADAPT SFI Research Centre, Trinity College Dublin"],"affiliations":[{"raw_affiliation_string":"ADAPT SFI Research Centre, Trinity College Dublin","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039176528","display_name":"Jian Tang","orcid":"https://orcid.org/0000-0003-4418-0114"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Tang","raw_affiliation_strings":["Huawei Ireland Research Center, Dublin"],"affiliations":[{"raw_affiliation_string":"Huawei Ireland Research Center, Dublin","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101982134","display_name":"Wei Xu","orcid":"https://orcid.org/0000-0003-4439-3523"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Xu","raw_affiliation_strings":["Huawei Ireland Research Center, Dublin"],"affiliations":[{"raw_affiliation_string":"Huawei Ireland Research Center, Dublin","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064522747","display_name":"Fran\u00e7ois Piti\u00e9","orcid":"https://orcid.org/0000-0003-4599-0549"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Francois Pitie","raw_affiliation_strings":["Department of Electronic & Electrical Engineering, Trinity College Dublin"],"affiliations":[{"raw_affiliation_string":"Department of Electronic & Electrical Engineering, Trinity College Dublin","institution_ids":["https://openalex.org/I205274468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5011772990"],"corresponding_institution_ids":["https://openalex.org/I205274468"],"apc_list":null,"apc_paid":null,"fwci":0.3066,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59216932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9987000226974487,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9987000226974487,"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":0.9984999895095825,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9970999956130981,"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":0.791258692741394},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.653156042098999},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.596723735332489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5692751407623291},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5530154705047607},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5038818717002869},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4428720474243164},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4424581825733185},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43400606513023376},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.42485401034355164},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3615421652793884},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.09040963649749756},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07937005162239075}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.791258692741394},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.653156042098999},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.596723735332489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5692751407623291},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5530154705047607},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5038818717002869},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4428720474243164},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4424581825733185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43400606513023376},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.42485401034355164},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3615421652793884},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.09040963649749756},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07937005162239075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/qomex.2019.8743280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2019.8743280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1904.07776","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.07776","pdf_url":"https://arxiv.org/pdf/1904.07776","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2935707923","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1904.07776","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1904.07776","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1904.07776","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.07776","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.07776","pdf_url":"https://arxiv.org/pdf/1904.07776","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2560023338","https://openalex.org/W2900141458","https://openalex.org/W2925273237","https://openalex.org/W2949839794","https://openalex.org/W6639824700","https://openalex.org/W6753577677","https://openalex.org/W6756101507"],"related_works":["https://openalex.org/W2964082985","https://openalex.org/W2942979549","https://openalex.org/W2896366272","https://openalex.org/W2622390745","https://openalex.org/W2784025607","https://openalex.org/W2122831396","https://openalex.org/W3113034623","https://openalex.org/W2469228190","https://openalex.org/W3134377386","https://openalex.org/W2549914409","https://openalex.org/W2054904802","https://openalex.org/W3003741573","https://openalex.org/W2163674792","https://openalex.org/W2546719023","https://openalex.org/W2766862947","https://openalex.org/W3120826302","https://openalex.org/W3010779223","https://openalex.org/W2090652206","https://openalex.org/W3195684454","https://openalex.org/W2239107200"],"abstract_inverted_index":{"The":[0],"rapid":[1],"increase":[2],"in":[3,45,57,63,106],"the":[4,10,25,52,55,58,64,98],"number":[5],"of":[6,24,54,87,102],"online":[7],"videos":[8],"provides":[9],"marketing":[11],"and":[12,79,96],"advertising":[13],"agents":[14],"ample":[15],"opportunities":[16],"to":[17,20],"reach":[18],"out":[19],"their":[21],"audience.":[22],"One":[23],"most":[26],"widely":[27],"used":[28],"strategies":[29,48],"is":[30],"product":[31],"placement,":[32],"or":[33,68],"embedded":[34],"marketing,":[35],"wherein":[36],"new":[37],"advertisements":[38,44],"are":[39],"integrated":[40],"seamlessly":[41],"into":[42],"existing":[43],"videos.":[46],"Such":[47],"involve":[49],"accurately":[50],"localizing":[51],"position":[53],"advert":[56],"image":[59],"frame,":[60],"either":[61],"manually":[62],"video":[65],"editing":[66],"phase,":[67],"by":[69],"using":[70],"machine":[71,76],"learning":[72,77],"frameworks.":[73],"However,":[74],"these":[75],"techniques":[78],"deep":[80],"neural":[81],"networks":[82],"need":[83],"a":[84],"massive":[85],"amount":[86],"data":[88],"for":[89],"training.":[90],"In":[91],"this":[92],"paper,":[93],"we":[94],"propose":[95],"release":[97],"first":[99],"large-scale":[100],"dataset":[101],"advertisement":[103],"billboards,":[104],"captured":[105],"outdoor":[107],"scenes.":[108],"We":[109],"also":[110],"benchmark":[111],"several":[112],"state-of-the-art":[113],"semantic":[114],"segmentation":[115],"algorithms":[116],"on":[117],"our":[118],"proposed":[119],"dataset.":[120]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}