{"id":"https://openalex.org/W1982633463","doi":"https://doi.org/10.1145/2806416.2806459","title":"Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases","display_name":"Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases","publication_year":2015,"publication_date":"2015-10-17","ids":{"openalex":"https://openalex.org/W1982633463","doi":"https://doi.org/10.1145/2806416.2806459","mag":"1982633463"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5039809923","display_name":"Christian Beecks","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"funder","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Beecks","raw_affiliation_strings":["RWTH-Aachen University, Aachen, Germany."],"affiliations":[{"raw_affiliation_string":"RWTH-Aachen University, Aachen, Germany.","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027797086","display_name":"Merih Seran Uysal","orcid":"https://orcid.org/0000-0003-1115-6601"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"funder","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Merih Seran Uysal","raw_affiliation_strings":["RWTH-Aachen University, Aachen, Germany."],"affiliations":[{"raw_affiliation_string":"RWTH-Aachen University, Aachen, Germany.","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008532692","display_name":"Judith Hermanns","orcid":"https://orcid.org/0000-0002-2170-4635"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"funder","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Judith Hermanns","raw_affiliation_strings":["RWTH-Aachen University, Aachen, Germany."],"affiliations":[{"raw_affiliation_string":"RWTH-Aachen University, Aachen, Germany.","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003335849","display_name":"Thomas Seidl","orcid":"https://orcid.org/0000-0002-4861-1412"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"funder","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Seidl","raw_affiliation_strings":["RWTH-Aachen University, Aachen, Germany."],"affiliations":[{"raw_affiliation_string":"RWTH-Aachen University, Aachen, Germany.","institution_ids":["https://openalex.org/I887968799"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.303,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.463912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":76,"max":79},"biblio":{"volume":null,"issue":null,"first_page":"1241","last_page":"1250"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986,"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":0.9985,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9979,"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/similarity","display_name":"Similarity (geometry)","score":0.67362666},{"id":"https://openalex.org/keywords/multimedia-database","display_name":"Multimedia database","score":0.6464382},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.44195947},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44186634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8341695},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.67362666},{"id":"https://openalex.org/C2779061030","wikidata":"https://www.wikidata.org/wiki/Q12038942","display_name":"Multimedia database","level":2,"score":0.6464382},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5178093},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5056529},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.50530034},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5049806},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.44195947},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44186634},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42224312},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.35371178},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3337617},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3236556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19215313},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1296736},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10533565},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/2806416.2806459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":69,"referenced_works":["https://openalex.org/W112193570","https://openalex.org/W144859072","https://openalex.org/W1499049447","https://openalex.org/W1556531089","https://openalex.org/W1643233157","https://openalex.org/W182666420","https://openalex.org/W186826960","https://openalex.org/W1893622764","https://openalex.org/W1966385142","https://openalex.org/W1971648542","https://openalex.org/W1976563722","https://openalex.org/W1983176418","https://openalex.org/W1989115255","https://openalex.org/W1991909257","https://openalex.org/W1992510419","https://openalex.org/W1995288812","https://openalex.org/W1998263261","https://openalex.org/W200173462","https://openalex.org/W2033178790","https://openalex.org/W2035055162","https://openalex.org/W2038044292","https://openalex.org/W2039772769","https://openalex.org/W2040737480","https://openalex.org/W2045921448","https://openalex.org/W2050385561","https://openalex.org/W2071027807","https://openalex.org/W2082737904","https://openalex.org/W2082934084","https://openalex.org/W2095939427","https://openalex.org/W2099736636","https://openalex.org/W2101319014","https://openalex.org/W2103976974","https://openalex.org/W2108598243","https://openalex.org/W2111993661","https://openalex.org/W2113240650","https://openalex.org/W2113447708","https://openalex.org/W2116987348","https://openalex.org/W2117995521","https://openalex.org/W2118183363","https://openalex.org/W2125101937","https://openalex.org/W2125186487","https://openalex.org/W2127554718","https://openalex.org/W2127864339","https://openalex.org/W2128017662","https://openalex.org/W2128061541","https://openalex.org/W2130660124","https://openalex.org/W2134627110","https://openalex.org/W2137551334","https://openalex.org/W2140190241","https://openalex.org/W2143668817","https://openalex.org/W2147238549","https://openalex.org/W2151426307","https://openalex.org/W2153889299","https://openalex.org/W2155803963","https://openalex.org/W2158139273","https://openalex.org/W2160149277","https://openalex.org/W2166473218","https://openalex.org/W2199664645","https://openalex.org/W2254589950","https://openalex.org/W2258942129","https://openalex.org/W2283504545","https://openalex.org/W2612808736","https://openalex.org/W2758269987","https://openalex.org/W2799002609","https://openalex.org/W2979172579","https://openalex.org/W3148595793","https://openalex.org/W3179878372","https://openalex.org/W4244494905","https://openalex.org/W4256561748"],"related_works":["https://openalex.org/W4324107480","https://openalex.org/W4299321834","https://openalex.org/W420686868","https://openalex.org/W3146490099","https://openalex.org/W3034360859","https://openalex.org/W2804945724","https://openalex.org/W2349125667","https://openalex.org/W2326310286","https://openalex.org/W2065986655","https://openalex.org/W1963543573"],"abstract_inverted_index":{"With":[0],"the":[1,6,33,37,58,88],"continuous":[2],"rise":[3],"of":[4,8,18,27,36,60,69,74,90,115],"multimedia,":[5],"question":[7],"how":[9,30],"to":[10,31,43,65,95,110],"access":[11],"large-scale":[12],"multimedia":[13,23,28,70,116],"databases":[14,112],"efficiently":[15,48],"has":[16],"become":[17],"crucial":[19],"importance.":[20],"Given":[21],"a":[22],"database":[24],"comprising":[25,113],"millions":[26,114],"objects,":[29],"approximate":[32],"content-based":[34,67],"properties":[35],"corresponding":[38],"feature":[39],"representations":[40],"in":[41,63,108,121],"order":[42,64,109],"carry":[44],"out":[45],"similarity":[46],"search":[47],"and":[49,99],"with":[50,93,118],"high":[51,119],"accuracy?":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"propose":[57],"concept":[59],"gradient-based":[61,91,106],"signatures":[62,92,107],"aggregate":[66],"features":[68],"objects":[71,117],"by":[72],"means":[73],"generative":[75],"models.":[76],"We":[77],"provide":[78],"theoretical":[79],"insights":[80],"into":[81],"our":[82],"approach":[83],"including":[84],"closed-form":[85],"expressions":[86],"for":[87,105],"computation":[89],"respect":[94],"Gaussian":[96],"mixture":[97],"models":[98],"additionally":[100],"investigate":[101],"different":[102],"binarization":[103],"methods":[104],"query":[111],"accuracy":[120],"less":[122],"than":[123],"one":[124],"second.":[125]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1982633463","counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-03-15T20:25:21.872928","created_date":"2016-06-24"}