{"id":"https://openalex.org/W3012691565","doi":"https://doi.org/10.1145/3366423.3380031","title":"Evolution of a Web-Scale Near Duplicate Image Detection System","display_name":"Evolution of a Web-Scale Near Duplicate Image Detection System","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3012691565","doi":"https://doi.org/10.1145/3366423.3380031","mag":"3012691565"},"language":"en","primary_location":{"id":"doi:10.1145/3366423.3380031","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380031","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3366423.3380031","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038757188","display_name":"A. E. Gusev","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Andrey Gusev","raw_affiliation_strings":["Pinterest San Francisco, CA"],"affiliations":[{"raw_affiliation_string":"Pinterest San Francisco, CA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101567525","display_name":"Jiajing Xu","orcid":"https://orcid.org/0000-0002-4761-5171"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiajing Xu","raw_affiliation_strings":["Pinterest San Francisco, CA"],"affiliations":[{"raw_affiliation_string":"Pinterest San Francisco, CA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038757188"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1963,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47616594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2733","last_page":"2739"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9965000152587891,"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":0.679332435131073},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5389583110809326},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.455554336309433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42453548312187195},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40544000267982483},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3803664445877075},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13194957375526428},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12465068697929382}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.679332435131073},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5389583110809326},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.455554336309433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42453548312187195},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40544000267982483},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3803664445877075},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13194957375526428},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12465068697929382}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3366423.3380031","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380031","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2209.08433","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.08433","pdf_url":"https://arxiv.org/pdf/2209.08433","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":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3366423.3380031","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380031","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1564712886","https://openalex.org/W1579524835","https://openalex.org/W1686810756","https://openalex.org/W1907458443","https://openalex.org/W1966928092","https://openalex.org/W1995429479","https://openalex.org/W2008555826","https://openalex.org/W2016380647","https://openalex.org/W2032475142","https://openalex.org/W2049342105","https://openalex.org/W2055906546","https://openalex.org/W2068730032","https://openalex.org/W2080266750","https://openalex.org/W2085261163","https://openalex.org/W2100142570","https://openalex.org/W2102605133","https://openalex.org/W2119204090","https://openalex.org/W2147717514","https://openalex.org/W2150307973","https://openalex.org/W2163605009","https://openalex.org/W2167853719","https://openalex.org/W2171448996","https://openalex.org/W2518058967","https://openalex.org/W2551915941","https://openalex.org/W2593835764","https://openalex.org/W2609517418","https://openalex.org/W2624431344","https://openalex.org/W2754259372","https://openalex.org/W2770285862","https://openalex.org/W2783371332","https://openalex.org/W2803341875","https://openalex.org/W2890404149","https://openalex.org/W2951597448","https://openalex.org/W2963921057","https://openalex.org/W4230511558","https://openalex.org/W4236965008","https://openalex.org/W4243493583","https://openalex.org/W4243800839","https://openalex.org/W4248966834","https://openalex.org/W4294558607","https://openalex.org/W6633941582"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Detecting":[0],"near":[1,41],"duplicate":[2,42],"images":[3,43],"is":[4,19],"fundamental":[5],"to":[6,69],"the":[7,72],"content":[8],"ecosystem":[9],"of":[10,29,51,74,82],"photo":[11],"sharing":[12],"web":[13],"applications.":[14,84],"However,":[15],"such":[16],"a":[17,23,80],"task":[18],"challenging":[20],"when":[21],"involving":[22],"web-scale":[24],"image":[25],"corpus":[26],"containing":[27],"billions":[28],"images.":[30,47],"In":[31],"this":[32,64],"paper,":[33],"we":[34],"present":[35],"an":[36],"efficient":[37],"system":[38,49,65],"for":[39],"detecting":[40],"across":[44,79],"8":[45],"billion":[46],"Our":[48],"consists":[50],"three":[52],"stages:":[53],"candidate":[54,56],"generation,":[55],"selection,":[57],"and":[58,76],"clustering.":[59],"We":[60],"also":[61],"demonstrate":[62],"that":[63],"can":[66],"be":[67],"used":[68],"greatly":[70],"improve":[71],"quality":[73],"recommendations":[75],"search":[77],"results":[78],"number":[81],"real-world":[83]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}