{"id":"https://openalex.org/W1965295228","doi":"https://doi.org/10.1145/2484028.2494492","title":"Riding the multimedia big data wave","display_name":"Riding the multimedia big data wave","publication_year":2013,"publication_date":"2013-07-28","ids":{"openalex":"https://openalex.org/W1965295228","doi":"https://doi.org/10.1145/2484028.2494492","mag":"1965295228"},"language":"en","primary_location":{"id":"doi:10.1145/2484028.2494492","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484028.2494492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","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/A5105523625","display_name":"John R. Smith","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"John R. Smith","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, NY, USA","IBM T. J. Watson Research Center, Yorktown Heights , NY, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights , NY, USA#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5105523625"],"corresponding_institution_ids":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"],"apc_list":null,"apc_paid":null,"fwci":5.1073,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.95706923,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9959999918937683,"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":0.9926000237464905,"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":0.8823786973953247},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.6886845827102661},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6270104646682739},{"id":"https://openalex.org/keywords/multimedia-information-retrieval","display_name":"Multimedia information retrieval","score":0.48766815662384033},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.4642212390899658},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.4496517479419708},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4455302357673645},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4448874294757843},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.4149423837661743},{"id":"https://openalex.org/keywords/semantic-analysis","display_name":"Semantic analysis (machine learning)","score":0.41311779618263245},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3525933027267456},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.34383469820022583},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.33475613594055176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23638954758644104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.11630034446716309}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8823786973953247},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.6886845827102661},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6270104646682739},{"id":"https://openalex.org/C2776318140","wikidata":"https://www.wikidata.org/wiki/Q6934776","display_name":"Multimedia information retrieval","level":2,"score":0.48766815662384033},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.4642212390899658},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.4496517479419708},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4455302357673645},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4448874294757843},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4149423837661743},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.41311779618263245},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3525933027267456},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.34383469820022583},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33475613594055176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23638954758644104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11630034446716309},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2484028.2494492","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484028.2494492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1974775589","https://openalex.org/W1982809401","https://openalex.org/W2007362078","https://openalex.org/W2089150756","https://openalex.org/W2091554307","https://openalex.org/W2128807628","https://openalex.org/W2157755593","https://openalex.org/W2162381337"],"related_works":["https://openalex.org/W2172231696","https://openalex.org/W2089969684","https://openalex.org/W2002918846","https://openalex.org/W2503910294","https://openalex.org/W2389930485","https://openalex.org/W2384506582","https://openalex.org/W2034539438","https://openalex.org/W2130191173","https://openalex.org/W1787428848","https://openalex.org/W2188202313"],"abstract_inverted_index":{"In":[0],"this":[1],"talk":[2],"we":[3],"present":[4],"a":[5,35,52],"perspective":[6],"across":[7],"multiple":[8,135],"industry":[9],"problems,":[10],"including":[11,146],"safety":[12],"and":[13,18,21,28,47,50,57,73,104,111,130,141,144,150,154,161,175,182],"security,":[14],"medical,":[15],"Web,":[16],"social":[17],"mobile":[19],"media,":[20],"motivate":[22],"the":[23,65,84],"need":[24],"for":[25,41,55,69,78,93,158,168,178],"large-scale":[26],"analysis":[27,129,143,170],"retrieval":[29],"of":[30,60,86,113,171],"multimedia":[31,61,95,114,172,179],"data.":[32,62],"We":[33,63,82,106,133,163],"describe":[34,134],"multi-layer":[36],"architecture":[37],"that":[38],"incorporates":[39],"capabilities":[40],"audio-visual":[42,71],"feature":[43],"extraction,":[44],"machine":[45],"learning":[46,56,103,181],"semantic":[48,67,80,96],"modeling":[49],"provides":[51],"powerful":[53],"framework":[54],"classifying":[58],"contents":[59],"discuss":[64,83],"role":[66],"ontologies":[68],"representing":[70],"concepts":[72,97],"relationships,":[74],"which":[75],"are":[76],"essential":[77],"training":[79,110],"classifiers.":[81],"importance":[85],"using":[87],"faceted":[88],"classification":[89,160],"schemes":[90],"in":[91,98],"particular":[92],"organizing":[94],"order":[99],"to":[100,125],"achieve":[101],"effective":[102],"retrieval.":[105,162,183],"also":[107],"show":[108,155],"how":[109],"scoring":[112],"semantics":[115],"can":[116],"be":[117],"implemented":[118],"on":[119,139],"big":[120],"data":[121],"distributed":[122],"computing":[123],"platforms":[124],"address":[126],"both":[127],"massive-scale":[128],"low-latency":[131],"processing.":[132],"efforts":[136],"at":[137],"IBM":[138,147],"image":[140],"video":[142],"retrieval,":[145],"Multimedia":[148],"Analysis":[149],"Retrieval":[151],"System":[152],"(IMARS),":[153],"recent":[156],"results":[157],"semantic-based":[159],"conclude":[164],"with":[165],"future":[166],"directions":[167],"improving":[169],"through":[173],"interactive":[174],"curriculum-based":[176],"techniques":[177],"semantics-based":[180]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}