{"id":"https://openalex.org/W2013075750","doi":"https://doi.org/10.1145/2578726.2578764","title":"Zero-Example Event Search using MultiModal Pseudo Relevance Feedback","display_name":"Zero-Example Event Search using MultiModal Pseudo Relevance Feedback","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2013075750","doi":"https://doi.org/10.1145/2578726.2578764","mag":"2013075750"},"language":"en","primary_location":{"id":"doi:10.1145/2578726.2578764","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2578726.2578764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Multimedia 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/A5090730336","display_name":"Lu Jiang","orcid":"https://orcid.org/0000-0003-0286-8439"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lu Jiang","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213","School of Computer Science , Carnegie Mellon University , Pittsburgh, PA, 15213"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"School of Computer Science , Carnegie Mellon University , Pittsburgh, PA, 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052956256","display_name":"Teruko Mitamura","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Teruko Mitamura","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213","School of Computer Science , Carnegie Mellon University , Pittsburgh, PA, 15213"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"School of Computer Science , Carnegie Mellon University , Pittsburgh, PA, 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068260993","display_name":"Shoou-I Yu","orcid":"https://orcid.org/0000-0002-3421-3691"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shoou-I Yu","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213","School of Computer Science , Carnegie Mellon University , Pittsburgh, PA, 15213"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"School of Computer Science , Carnegie Mellon University , Pittsburgh, PA, 15213","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107836252","display_name":"Alexander G. Hauptmann","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander G. Hauptmann","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213","School of Computer Science , Carnegie Mellon University , Pittsburgh, PA, 15213"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"School of Computer Science , Carnegie Mellon University , Pittsburgh, PA, 15213","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090730336"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":13.098,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.99130196,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"1","issue":null,"first_page":"297","last_page":"304"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998000264167786,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8249691724777222},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.8014323115348816},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7893913388252258},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.7832591533660889},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7004607915878296},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6078222990036011},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5221484303474426},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4815821647644043},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4685051739215851},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.41637617349624634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40323954820632935},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3336533308029175},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.16329985857009888},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10374704003334045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8249691724777222},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.8014323115348816},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7893913388252258},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.7832591533660889},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7004607915878296},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6078222990036011},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5221484303474426},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4815821647644043},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4685051739215851},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.41637617349624634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40323954820632935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3336533308029175},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.16329985857009888},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10374704003334045},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2578726.2578764","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2578726.2578764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.662.6780","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.662.6780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/%7Elujiang/camera_ready_papers/ICMR2014-MMPRF.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306116","display_name":"U.S. Department of the Interior","ror":"https://ror.org/03v0pmy70"},{"id":"https://openalex.org/F4320333452","display_name":"Interior Business Center","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1606858007","https://openalex.org/W1972442292","https://openalex.org/W1979246310","https://openalex.org/W1982795953","https://openalex.org/W1989085630","https://openalex.org/W1989885825","https://openalex.org/W1995288812","https://openalex.org/W2000636201","https://openalex.org/W2033455808","https://openalex.org/W2047221353","https://openalex.org/W2048318462","https://openalex.org/W2064458142","https://openalex.org/W2074168727","https://openalex.org/W2078570228","https://openalex.org/W2094753663","https://openalex.org/W2096152098","https://openalex.org/W2104049510","https://openalex.org/W2117876453","https://openalex.org/W2120477910","https://openalex.org/W2122825543","https://openalex.org/W2126574503","https://openalex.org/W2128841997","https://openalex.org/W2136542423","https://openalex.org/W2142510822","https://openalex.org/W2142769902","https://openalex.org/W2162059449","https://openalex.org/W2163605009","https://openalex.org/W2169213601","https://openalex.org/W2296319761","https://openalex.org/W3022380717","https://openalex.org/W3022392334","https://openalex.org/W4240913316","https://openalex.org/W4246858749","https://openalex.org/W6835337934"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W203959209","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,43,75],"novel":[3],"method":[4],"MultiModal":[5],"Pseudo":[6,23],"Relevance":[7,24],"Feedback":[8,25],"(MMPRF)":[9],"for":[10,95],"event":[11,50,71,96],"search":[12,18,51,72,97],"in":[13,30,74,82,98,119,135],"video,":[14],"which":[15,53],"requires":[16],"no":[17],"examples":[19],"from":[20],"the":[21,49,99,106,110,113,122],"user.":[22],"has":[26],"shown":[27],"great":[28],"potential":[29],"retrieval":[31],"tasks,":[32],"but":[33,90],"previous":[34],"works":[35],"are":[36],"limited":[37],"to":[38,69,117,130],"unimodal":[39],"tasks":[40],"with":[41],"only":[42,87],"single":[44],"ranked":[45,67],"list.":[46],"To":[47],"tackle":[48],"task":[52],"is":[54,80],"inherently":[55],"multimodal,":[56],"our":[57],"proposed":[58],"MMPRF":[59],"takes":[60],"advantage":[61],"of":[62,101,121],"multiple":[63,66],"modalities":[64],"and":[65],"lists":[68],"enhance":[70],"performance":[73],"principled":[76],"way.":[77],"The":[78],"approach":[79,111],"unique":[81],"that":[83],"it":[84],"leverages":[85],"not":[86],"semantic":[88],"features,":[89],"also":[91,127],"non-semantic":[92],"low-level":[93],"features":[94],"absence":[100],"training":[102],"data.":[103],"Evaluated":[104],"on":[105],"TRECVID":[107],"MEDTest":[108],"dataset,":[109],"improves":[112],"baseline":[114],"by":[115],"up":[116],"158%":[118],"terms":[120],"mean":[123],"average":[124],"precision.":[125],"It":[126],"significantly":[128],"contributes":[129],"CMU":[131],"Team's":[132],"final":[133],"submission":[134],"TRECVID-13":[136],"Multimedia":[137],"Event":[138],"Detection.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":19},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":6}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
