{"id":"https://openalex.org/W1972955157","doi":"https://doi.org/10.1007/s11042-011-0886-y","title":"Hybrid negative example selection using visual and conceptual features","display_name":"Hybrid negative example selection using visual and conceptual features","publication_year":2011,"publication_date":"2011-10-14","ids":{"openalex":"https://openalex.org/W1972955157","doi":"https://doi.org/10.1007/s11042-011-0886-y","mag":"1972955157"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-011-0886-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-011-0886-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-011-0886-y.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11042-011-0886-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013527575","display_name":"Kimiaki Shirahama","orcid":"https://orcid.org/0000-0003-1843-5152"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kimiaki Shirahama","raw_affiliation_strings":["Graduate School of Economics, Kobe University, 2-1, Rokkodai, Nada, Kobe, 657--8501, Japan","Graduate School of Economics, Kobe University, Nada, Japan 657--8501#TAB#"],"affiliations":[{"raw_affiliation_string":"Graduate School of Economics, Kobe University, 2-1, Rokkodai, Nada, Kobe, 657--8501, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate School of Economics, Kobe University, Nada, Japan 657--8501#TAB#","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108235269","display_name":"Yuta Matsuoka","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Matsuoka","raw_affiliation_strings":["Graduate School of Engineering, Kobe University, 1-1, Rokkodai, Nada, Kobe, 657--8501, Japan","Graduate School of Engineering, Kobe University, Nada, Japan 657-8501"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kobe University, 1-1, Rokkodai, Nada, Kobe, 657--8501, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate School of Engineering, Kobe University, Nada, Japan 657-8501","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023847482","display_name":"Kuniaki Uehara","orcid":"https://orcid.org/0000-0002-7160-3752"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kuniaki Uehara","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, 1-1, Rokkodai, Nada, Kobe, 657--8501, Japan","Graduate School of System, Informatics Kobe University, Nada, Japan, 657-8501"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, 1-1, Rokkodai, Nada, Kobe, 657--8501, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate School of System, Informatics Kobe University, Nada, Japan, 657-8501","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013527575"],"corresponding_institution_ids":["https://openalex.org/I65837984"],"apc_list":null,"apc_paid":null,"fwci":0.5235,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66790279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"71","issue":"3","first_page":"967","last_page":"989"},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9994000196456909,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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":0.9073928594589233},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48567140102386475},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4804665446281433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4761236310005188},{"id":"https://openalex.org/keywords/query-by-example","display_name":"Query by Example","score":0.4270875155925751},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4195984899997711},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41667842864990234},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.30260640382766724},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.14368027448654175},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.08845874667167664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9073928594589233},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48567140102386475},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4804665446281433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4761236310005188},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.4270875155925751},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4195984899997711},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41667842864990234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30260640382766724},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.14368027448654175},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.08845874667167664},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-011-0886-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-011-0886-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-011-0886-y.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11042-011-0886-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11042-011-0886-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11042-011-0886-y.pdf","source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2732612706","display_name":null,"funder_award_id":"SCOPE","funder_id":"https://openalex.org/F4320325628","funder_display_name":"Ministry of Internal Affairs and Communications"}],"funders":[{"id":"https://openalex.org/F4320325628","display_name":"Ministry of Internal Affairs and Communications","ror":"https://ror.org/00vs1pz50"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1972955157.pdf","grobid_xml":"https://content.openalex.org/works/W1972955157.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W28424422","https://openalex.org/W1514940655","https://openalex.org/W1549395508","https://openalex.org/W1551909886","https://openalex.org/W1586255639","https://openalex.org/W1861993554","https://openalex.org/W1963658069","https://openalex.org/W1986482242","https://openalex.org/W2023240376","https://openalex.org/W2048045850","https://openalex.org/W2062903088","https://openalex.org/W2076593148","https://openalex.org/W2094753663","https://openalex.org/W2103556603","https://openalex.org/W2108333036","https://openalex.org/W2109722477","https://openalex.org/W2112020727","https://openalex.org/W2123958887","https://openalex.org/W2133699278","https://openalex.org/W2138516811","https://openalex.org/W2139212933","https://openalex.org/W2144080413","https://openalex.org/W2146807976","https://openalex.org/W2147668753","https://openalex.org/W2148603752","https://openalex.org/W2153477625","https://openalex.org/W2153635508","https://openalex.org/W2155319834","https://openalex.org/W2156772624","https://openalex.org/W2162762921","https://openalex.org/W2915900680","https://openalex.org/W2916826692","https://openalex.org/W3193477162"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2134699697","https://openalex.org/W3147584709","https://openalex.org/W2322875716","https://openalex.org/W2977677679","https://openalex.org/W2468698815","https://openalex.org/W2383516975","https://openalex.org/W2374878784"],"abstract_inverted_index":{"An":[0],"application":[1],"of":[2,56,116,125,214],"Query-By-Example":[3],"(QBE)":[4],"is":[5,71,99],"presented":[6],"where":[7,95],"shots":[8,16,23,29,79,104,106,127,135,142,160,167,178],"that":[9,30,38,80,128,161,192],"are":[10,17,24,31,39,51,129,143,162,198],"visually":[11,130,163],"similar":[12,131],"to":[13,26,33,60,76,132,138,165,180],"provided":[14],"example":[15,134,166],"retrieved.":[18],"To":[19,110],"implement":[20],"QBE,":[21],"counter-example":[22,68,78,103,126,201],"required":[25],"accurately":[27],"distinguish":[28],"relevant":[32,59,150,179],"the":[34,112,117,139,147,181,194,212],"query":[35,182],"from":[36,105,188],"those":[37],"not":[40,58],"(Li":[41],"and":[42,114,151],"Snoek":[43],"(2009),":[44],"Yu":[45],"et":[46],"al.":[47],"(2004)).":[48],"However,":[49],"there":[50],"usually":[52],"a":[53,61,74,87,96,122,172],"huge":[54],"number":[55,124],"shots,":[57],"particular":[62],"query,":[63],"which":[64],"can":[65],"serve":[66],"as":[67,200],"shots.":[69,153,202],"It":[70],"difficult":[72],"for":[73,145],"user":[75,108],"provide":[77],"would":[81],"aid":[82],"retrieval.":[83],"Thus,":[84],"we":[85,120,157,176],"developed":[86],"QBE":[88,118],"method":[89],"based":[90,168,183],"on":[91,169,171,184],"partially":[92],"supervised":[93],"learning":[94],"retrieval":[97],"model":[98],"constructed":[100],"by":[101],"selecting":[102],"without":[107],"supervision.":[109],"ensure":[111],"speed":[113],"accuracy":[115],"method,":[119,156],"select":[121],"small":[123],"given":[133],"but":[136],"irrelevant":[137,152],"query.":[140],"Such":[141],"useful":[144],"characterizing":[146],"boundary":[148],"between":[149],"For":[154],"our":[155,215],"first":[158],"filter":[159,177],"dissimilar":[164],"SVMs":[170],"visual":[173],"feature.":[174],"Then":[175],"concept":[185],"detection":[186],"results":[187,204],"pre-constructed":[189],"classifiers.":[190],"Shots":[191],"pass":[193],"above":[195],"two":[196],"tests":[197],"considered":[199],"Experimental":[203],"obtained":[205],"using":[206],"TRECVID":[207],"2009":[208],"video":[209],"data":[210],"validate":[211],"effectiveness":[213],"method.":[216]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-03-16T09:10:04.655348","created_date":"2025-10-10T00:00:00"}