{"id":"https://openalex.org/W1510137291","doi":"https://doi.org/10.1109/cbmi.2015.7153629","title":"Empirical evaluation of dissimilarity measures for 3D object retrieval with application to multi-feature retrieval","display_name":"Empirical evaluation of dissimilarity measures for 3D object retrieval with application to multi-feature retrieval","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1510137291","doi":"https://doi.org/10.1109/cbmi.2015.7153629","mag":"1510137291"},"language":"en","primary_location":{"id":"doi:10.1109/cbmi.2015.7153629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2015.7153629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI)","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/A5041663960","display_name":"Robert J. Gregor","orcid":null},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Gregor","raw_affiliation_strings":["University of Konstanz, Germany","[University of Konstanz, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"[University of Konstanz, Germany]","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071340641","display_name":"Andreas Lamprecht","orcid":null},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Lamprecht","raw_affiliation_strings":["University of Konstanz, Germany","[University of Konstanz, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"[University of Konstanz, Germany]","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055991257","display_name":"Ivan Sipiran","orcid":"https://orcid.org/0000-0002-8766-3581"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ivan Sipiran","raw_affiliation_strings":["Universitat Konstanz, Konstanz, Baden-W\u00c3\u00bcrttemberg, DE","[University of Konstanz, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Konstanz, Konstanz, Baden-W\u00c3\u00bcrttemberg, DE","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"[University of Konstanz, Germany]","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016219620","display_name":"Tobias Schreck","orcid":"https://orcid.org/0000-0003-0778-8665"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Schreck","raw_affiliation_strings":["Universitat Konstanz, Konstanz, Baden-W\u00c3\u00bcrttemberg, DE","[University of Konstanz, Germany]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Konstanz, Konstanz, Baden-W\u00c3\u00bcrttemberg, DE","institution_ids":["https://openalex.org/I189712700"]},{"raw_affiliation_string":"[University of Konstanz, Germany]","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009309241","display_name":"Benjam\u00edn Bustos","orcid":"https://orcid.org/0000-0002-3955-361X"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Benjamin Bustos","raw_affiliation_strings":["Department of Computer Science, University of Chile, Chile","Dept. of Computer Science, University of Chile, Chile#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Chile, Chile","institution_ids":["https://openalex.org/I69737025"]},{"raw_affiliation_string":"Dept. of Computer Science, University of Chile, Chile#TAB#","institution_ids":["https://openalex.org/I69737025"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1352,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.37335681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"6"},"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":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"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":0.9922999739646912,"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":0.6911529898643494},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5205029845237732},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5056164264678955},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4934302866458893},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4699072241783142},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4686018228530884},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4659731388092041},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4633740484714508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45183783769607544},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4212225675582886},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3294513523578644},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2586032748222351}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6911529898643494},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5205029845237732},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5056164264678955},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4934302866458893},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4699072241783142},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4686018228530884},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4659731388092041},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4633740484714508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45183783769607544},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4212225675582886},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3294513523578644},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2586032748222351},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/cbmi.2015.7153629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2015.7153629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W140777655","https://openalex.org/W170732776","https://openalex.org/W259338706","https://openalex.org/W1483313504","https://openalex.org/W1490682695","https://openalex.org/W1965650022","https://openalex.org/W1976921161","https://openalex.org/W2023056405","https://openalex.org/W2051834357","https://openalex.org/W2056162765","https://openalex.org/W2075597533","https://openalex.org/W2080067164","https://openalex.org/W2085954437","https://openalex.org/W2086240496","https://openalex.org/W2099789128","https://openalex.org/W2103924867","https://openalex.org/W2111993661","https://openalex.org/W2114545962","https://openalex.org/W2116466193","https://openalex.org/W2140190241","https://openalex.org/W2144420897","https://openalex.org/W2160063258","https://openalex.org/W2165533158","https://openalex.org/W2168532736","https://openalex.org/W4285719527","https://openalex.org/W6605814005","https://openalex.org/W6629126664"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2591697403","https://openalex.org/W4246352526","https://openalex.org/W2951187577"],"abstract_inverted_index":{"A":[0],"common":[1],"approach":[2],"for":[3,65,97,108,188,204,211,217],"implementing":[4],"content-based":[5],"multimedia":[6,17,49],"retrieval":[7,50,87,161,186,215],"tasks":[8],"resorts":[9],"to":[10,44,74,177,183],"extracting":[11],"high-dimensional":[12],"feature":[13,56,121],"vectors":[14],"from":[15],"the":[16,28,77,80,86,131,157,178,200],"objects.":[18],"In":[19,170],"combination":[20],"with":[21,42],"an":[22,102,117],"appropriate":[23],"dissimilarity":[24,41,83,95,106,123,134,143,179,205],"function,":[25],"such":[26],"as":[27,220,222],"well-known":[29],"Lpfunctions":[30],"or":[31],"statistical":[32],"measures":[33,107,124,135,144],"like":[34],"\u03c72,":[35],"one":[36],"can":[37,162],"rank":[38],"objects":[39],"by":[40,90,165],"respect":[43],"a":[45,52,166],"query.":[46],"For":[47],"many":[48],"problems,":[51],"large":[53],"number":[54],"of":[55,79,82,105,120,147,159,191,202,214],"extraction":[57],"methods":[58],"have":[59],"been":[60,72],"proposed":[61],"and":[62,125,136,145],"experimentally":[63],"evaluated":[64],"their":[66],"effectiveness.":[67,88],"Much":[68],"less":[69],"work":[70,92],"has":[71],"done":[73],"systematically":[75],"study":[76,113],"impact":[78],"choice":[81],"function":[84],"on":[85,116,151,199],"Inspired":[89],"previous":[91],"which":[93,207],"compared":[94],"functions":[96],"image":[98],"retrieval,":[99],"we":[100,154,172,195],"provide":[101],"extensive":[103],"comparison":[104],"3D":[109,148,160],"object":[110],"retrieval.":[111],"Our":[112],"is":[114],"based":[115],"encompassing":[118],"set":[119],"extractors,":[122],"benchmark":[126],"data":[127],"sets.":[128],"We":[129],"identify":[130,139],"best":[132],"performing":[133],"in":[137,181],"turn":[138],"dependencies":[140],"between":[141],"well-performing":[142],"types":[146],"features.":[149],"Based":[150],"these":[152],"findings,":[153],"show":[155,184],"that":[156],"effectiveness":[158,187,216],"be":[163,209],"improved":[164,185],"feature-dependent":[167],"measure":[168],"choice.":[169],"addition,":[171],"apply":[173],"different":[174],"normalization":[175],"schemes":[176],"distributions":[180],"order":[182],"late":[189],"fusion":[190],"multi-feature":[192],"combination.":[193],"Finally,":[194],"present":[196],"preliminary":[197],"findings":[198],"correlation":[201],"rankings":[203],"measures,":[206],"could":[208],"exploited":[210],"further":[212],"improvement":[213],"single":[218],"features":[219],"well":[221],"combinations.":[223]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}