{"id":"https://openalex.org/W2076593148","doi":"https://doi.org/10.1145/1282280.1282365","title":"Cluster-based data modeling for semantic video search","display_name":"Cluster-based data modeling for semantic video search","publication_year":2007,"publication_date":"2007-07-09","ids":{"openalex":"https://openalex.org/W2076593148","doi":"https://doi.org/10.1145/1282280.1282365","mag":"2076593148"},"language":"en","primary_location":{"id":"doi:10.1145/1282280.1282365","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1282280.1282365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM international conference on Image and video 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/A5068828260","display_name":"Jelena Te\u0161i\u0107","orcid":"https://orcid.org/0000-0002-9972-9760"},"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"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jelena Te\u0161i\u0107","raw_affiliation_strings":["IBM Watson Research Center, Hawthorne, NY","IBM- Watson Research Center, Hawthorne, NY#TAB#"],"affiliations":[{"raw_affiliation_string":"IBM Watson Research Center, Hawthorne, NY","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM- Watson Research Center, Hawthorne, NY#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030886753","display_name":"Apostol Natsev","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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Apostol (Paul) Natsev","raw_affiliation_strings":["IBM Watson Research Center, Hawthorne, NY","IBM- Watson Research Center, Hawthorne, NY#TAB#"],"affiliations":[{"raw_affiliation_string":"IBM Watson Research Center, Hawthorne, NY","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM- Watson Research Center, Hawthorne, NY#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John R. Smith","raw_affiliation_strings":["IBM Watson Research Center, Hawthorne, NY","IBM- Watson Research Center, Hawthorne, NY#TAB#"],"affiliations":[{"raw_affiliation_string":"IBM Watson Research Center, Hawthorne, NY","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"IBM- Watson Research Center, Hawthorne, NY#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068828260"],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":4.5443,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94900798,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"595","last_page":"602"},"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":0.9984999895095825,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9980999827384949,"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":0.8543075323104858},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6995208859443665},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6903527975082397},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6398175954818726},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5200374126434326},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5121078491210938},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.48513874411582947},{"id":"https://openalex.org/keywords/result-set","display_name":"Result set","score":0.448012113571167},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4327470660209656},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.4229493737220764},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3365439772605896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2999904453754425},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17409932613372803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8543075323104858},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6995208859443665},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6903527975082397},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6398175954818726},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5200374126434326},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5121078491210938},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.48513874411582947},{"id":"https://openalex.org/C4969071","wikidata":"https://www.wikidata.org/wiki/Q7316353","display_name":"Result set","level":3,"score":0.448012113571167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4327470660209656},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.4229493737220764},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3365439772605896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2999904453754425},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17409932613372803},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1282280.1282365","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1282280.1282365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM international conference on Image and video retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1551909886","https://openalex.org/W1672197616","https://openalex.org/W2073554061","https://openalex.org/W2089150756","https://openalex.org/W2090561883","https://openalex.org/W2116608170","https://openalex.org/W2129905273","https://openalex.org/W2144080413","https://openalex.org/W2171193630","https://openalex.org/W2621325907","https://openalex.org/W4233014035"],"related_works":["https://openalex.org/W1606474234","https://openalex.org/W2034539438","https://openalex.org/W1589134610","https://openalex.org/W1572278127","https://openalex.org/W2124645781","https://openalex.org/W2184057774","https://openalex.org/W2140331143","https://openalex.org/W2543381692","https://openalex.org/W1975659822","https://openalex.org/W2391460410"],"abstract_inverted_index":{"In":[0],"this":[1,198],"paper":[2],"we":[3,182],"present":[4],"a":[5,40,89,120,141,155,216,259],"novel":[6],"approach":[7,152],"to":[8,27,57,104,129],"query-by-example":[9],"using":[10,44,61,160],"existing":[11],"high-level":[12],"semantics":[13,96,226],"in":[14,35,64,98,122,187,215,274],"the":[15,21,32,36,45,73,84,94,99,106,110,114,131,134,184,212,224,228,233],"dataset.":[16],"Typically":[17],"with":[18,189,269],"visual":[19,76,100,185,192,235,271],"topics,":[20],"examples":[22,48,103,136,146,265],"are":[23],"not":[24],"sufficiently":[25],"diverse":[26],"create":[28],"robust":[29,142],"model":[30,119],"of":[31,75,92,133,144,227,246,261,273],"user's":[33],"need":[34],"descriptor's":[37],"space.":[38,124],"As":[39],"result,":[41],"direct":[42,149],"modeling":[43],"provided":[46],"topic":[47,102,135,263],"as":[49,113,137,139],"training":[50,264],"data":[51,128,166,169],"is":[52],"inadequate.":[53],"Otherwise,":[54],"systems":[55],"resort":[56],"multiple":[58],"content-based":[59],"searches":[60],"each":[62],"example":[63],"turn,":[65],"which":[66],"typically":[67],"provides":[68],"poor":[69],"results.":[70],"We":[71,87,108,125,210,253],"explore":[72,183],"relevance":[74],"concept":[77],"models":[78,154],"and":[79,117,157,162,168,171,191,195,207,221,243,266],"how":[80,197,223],"they":[81],"help":[82],"refine":[83],"query":[85,101,121,262,267],"topics.":[86,180],"propose":[88],"new":[90],"technique":[91],"leveraging":[93],"underlying":[95],"contained":[97],"improve":[105,201,232],"search.":[107],"treat":[109],"semantic":[111,173],"space":[112,159],"descriptor":[115],"space,":[116],"intelligently":[118,153],"that":[123,147],"use":[126],"unlabeled":[127],"expand":[130],"diversity":[132],"well":[138],"provide":[140],"set":[143],"negative":[145],"allow":[148],"modeling.":[150],"The":[151],"positive":[156],"pseudo-negative":[158],"unbiased":[161],"biased":[163],"methods":[164,214],"for":[165],"sampling":[167],"selection,":[170],"improves":[172],"retrieval":[174,203],"by":[175,205,240,249],"%12":[176],"over":[177,241,258],"TRECVID":[178],"2006":[179],"Moreover,":[181],"context":[186],"fusion":[188],"text":[190],"search":[193,219,236],"baselines":[194],"examine":[196],"component":[199],"can":[200,230],"baseline":[202,239],"results":[204],"expanding":[206],"re-ranking":[208],"them.":[209],"apply":[211],"proposed":[213],"multimodal":[217],"video":[218],"system,":[220],"show":[222],"underlined":[225],"queries":[229],"significantly":[231],"overall":[234],"results,":[237],"improving":[238],"46%,":[242],"enhancing":[244],"performance":[245],"other":[247],"modalities":[248],"at":[250],"least":[251],"10%.":[252],"also":[254],"demonstrate":[255],"improved":[256],"robustness":[257],"range":[260],"topics":[268],"varying":[270],"support":[272],"TRECVID.":[275]},"counts_by_year":[{"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"}
