{"id":"https://openalex.org/W2016924095","doi":"https://doi.org/10.1109/icip.2013.6738814","title":"Evaluation of visual object retrieval datasets","display_name":"Evaluation of visual object retrieval datasets","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2016924095","doi":"https://doi.org/10.1109/icip.2013.6738814","mag":"2016924095"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5014425044","display_name":"Cai-Zhi Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Cai-Zhi Zhu","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan","Nat. Inst. of Inf., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]},{"raw_affiliation_string":"Nat. Inst. of Inf., Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102743927","display_name":"Shin\u2019ichi Satoh","orcid":"https://orcid.org/0000-0001-6995-6447"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin'ichi Satoh","raw_affiliation_strings":["National Institute of Informatics, Tokyo, Japan","Nat. Inst. of Inf., Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]},{"raw_affiliation_string":"Nat. Inst. of Inf., Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I184597095"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3954","last_page":"3958"},"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":0.9952999949455261,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9937000274658203,"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":0.8505370020866394},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7839370965957642},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7194286584854126},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6951885223388672},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6910986304283142},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.597850501537323},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.49831104278564453},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.44639503955841064},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4304391145706177},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38647985458374023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3591894209384918},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2207559049129486},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.056404948234558105}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8505370020866394},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7839370965957642},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7194286584854126},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6951885223388672},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6910986304283142},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.597850501537323},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.49831104278564453},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.44639503955841064},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4304391145706177},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38647985458374023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3591894209384918},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2207559049129486},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.056404948234558105},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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":20,"referenced_works":["https://openalex.org/W1556531089","https://openalex.org/W1972378554","https://openalex.org/W1977640644","https://openalex.org/W1979931042","https://openalex.org/W2023991840","https://openalex.org/W2031342017","https://openalex.org/W2069021608","https://openalex.org/W2100398441","https://openalex.org/W2128017662","https://openalex.org/W2131846894","https://openalex.org/W2138445151","https://openalex.org/W2141362318","https://openalex.org/W2148809531","https://openalex.org/W2151103935","https://openalex.org/W2172188317","https://openalex.org/W2538333829","https://openalex.org/W2905522029","https://openalex.org/W2917663306","https://openalex.org/W6633472159","https://openalex.org/W6729050879"],"related_works":["https://openalex.org/W4399363378","https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2184288218","https://openalex.org/W2947282851","https://openalex.org/W2374066281","https://openalex.org/W4387423606","https://openalex.org/W2071180033","https://openalex.org/W2036058638","https://openalex.org/W2528082075"],"abstract_inverted_index":{"Recently":[0],"visual":[1,58],"object":[2,32,59,65,84,130],"retrieval":[3,33,60,66,85],"has":[4,111],"being":[5],"widely":[6],"studied":[7],"for":[8],"its":[9],"vast":[10],"application":[11],"prospect,":[12],"and":[13,71,86,91,96,126],"the":[14,20,35,54,68,80,104,146],"progress":[15],"is":[16,118],"usually":[17],"tracked":[18],"by":[19,42],"performance":[21],"achieved":[22],"on":[23,61,142],"benchmark":[24],"datasets.":[25,75,102],"Therefore,":[26],"in":[27,145],"order":[28],"to":[29,52,120,123],"faithfully":[30],"evaluate":[31,53],"algorithms,":[34],"quality":[36,55],"of":[37,56,106,129],"datasets":[38,70],"must":[39],"be":[40,121],"ensured":[41],"some":[43,94],"means.":[44],"In":[45],"this":[46,109,136,143],"paper,":[47],"we":[48,134],"propose":[49],"a":[50],"method":[51,78,117],"benchmarking":[57],"two":[62],"highly":[63],"cited":[64],"datasets,":[67],"Oxford":[69],"TrecVid":[72],"instance":[73],"search":[74],"Our":[76,116],"evaluation":[77,128],"leverages":[79],"essential":[81],"differences":[82],"between":[83],"other":[87],"similar":[88],"image":[89],"search,":[90],"digs":[92],"out":[93],"unrevealed":[95],"rather":[97],"interesting":[98],"features":[99],"from":[100],"those":[101],"To":[103],"best":[105],"our":[107],"knowledge,":[108],"research":[110],"never":[112],"been":[113],"touched":[114],"before.":[115],"believed":[119],"beneficial":[122],"dataset":[124],"collection":[125],"algorithm":[127],"retrieval.":[131],"More":[132],"importantly,":[133],"hope":[135],"work":[137],"can":[138],"attract":[139],"more":[140],"attentions":[141],"topic":[144],"community.":[147]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
