{"id":"https://openalex.org/W2080742146","doi":"https://doi.org/10.1145/1873951.1874122","title":"3D object retrieval with bag-of-region-words","display_name":"3D object retrieval with bag-of-region-words","publication_year":2010,"publication_date":"2010-10-25","ids":{"openalex":"https://openalex.org/W2080742146","doi":"https://doi.org/10.1145/1873951.1874122","mag":"2080742146"},"language":"en","primary_location":{"id":"doi:10.1145/1873951.1874122","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1873951.1874122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM international conference on Multimedia","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/A5100602494","display_name":"Yue Gao","orcid":"https://orcid.org/0000-0002-4971-590X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Gao","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658700","display_name":"You Yang","orcid":"https://orcid.org/0000-0002-5695-1046"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"You Yang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080722708","display_name":"Qionghai Dai","orcid":"https://orcid.org/0000-0001-7043-3061"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qionghai Dai","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032542621","display_name":"Naiyao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naiyao Zhang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100602494"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.2749,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.81752966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9991000294685364,"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":0.9991000294685364,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9991000294685364,"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":0.9987999796867371,"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":0.6620991230010986},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6261150240898132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5324132442474365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4312747120857239},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40154799818992615},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3538888394832611},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3437551259994507}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6620991230010986},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6261150240898132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5324132442474365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4312747120857239},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40154799818992615},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3538888394832611},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3437551259994507}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1873951.1874122","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1873951.1874122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1966859547","https://openalex.org/W1995617867","https://openalex.org/W2021122545","https://openalex.org/W2021348965","https://openalex.org/W2026620467","https://openalex.org/W2028248716","https://openalex.org/W2063366997","https://openalex.org/W2077593817","https://openalex.org/W2091911388","https://openalex.org/W2093719298","https://openalex.org/W2097955329","https://openalex.org/W2101025736","https://openalex.org/W2106629076","https://openalex.org/W2110226872","https://openalex.org/W2112074816","https://openalex.org/W2116466193","https://openalex.org/W2130660124","https://openalex.org/W2135543078","https://openalex.org/W2137914836","https://openalex.org/W2143668817","https://openalex.org/W2145862222","https://openalex.org/W2151103935","https://openalex.org/W2151245724"],"related_works":["https://openalex.org/W2737719445","https://openalex.org/W2898210368","https://openalex.org/W2382480268","https://openalex.org/W2755342338","https://openalex.org/W2775347418","https://openalex.org/W1976518449","https://openalex.org/W2732837990","https://openalex.org/W4206198161","https://openalex.org/W2363366881","https://openalex.org/W2779427294"],"abstract_inverted_index":{"View-based":[0],"method":[1,159],"becomes":[2],"an":[3],"essential":[4],"approach":[5],"to":[6,37,144],"3D":[7,16,50],"object":[8,17,21,130],"retrieval":[9,18,163],"in":[10,41,61],"recent":[11],"years.":[12],"In":[13,43,126],"the":[14,39,102,112,146,157],"view-based":[15],"framework,":[19],"each":[20,62,84,92,121,129],"is":[22,72,86,94,118,131,142],"described":[23,132],"by":[24,96,133],"a":[25,48,75,79,97,134],"set":[26,135],"of":[27,136],"views":[28,36],"and":[29,64,91,115],"representative":[30],"features":[31],"are":[32,105],"extracted":[33],"from":[34,120],"these":[35],"match":[38],"objects":[40],"database.":[42],"this":[44,127],"paper,":[45],"we":[46],"propose":[47],"novel":[49],"multi-view":[51],"representation":[52],"method,":[53],"Bag-of-Region-Words":[54],"(BoRW).":[55],"It":[56],"first":[57],"gridly":[58],"selects":[59],"points":[60],"view":[63,85],"extracts":[65],"local":[66,70],"SIFT":[67],"features.":[68],"Each":[69],"feature":[71,99,117,151],"encoded":[73],"into":[74,88,108],"visual":[76,81],"word":[77],"with":[78,123],"trained":[80],"vocabulary.":[82],"Then":[83],"split":[87],"several":[89],"regions,":[90],"region":[93],"represented":[95],"bag-of-visual-words":[98,113],"vector.":[100],"All":[101],"obtained":[103],"regions":[104],"further":[106],"grouped":[107],"clusters":[109],"based":[110],"on":[111],"feature,":[114],"one":[116],"selected":[119],"cluster":[122],"corresponding":[124],"weight.":[125],"way,":[128],"BoRW.":[137],"The":[138],"Earth":[139],"Movers":[140],"Distance":[141],"employed":[143],"estimate":[145],"distance":[147],"between":[148],"two":[149],"BoRW":[150],"vectors.":[152],"Experimental":[153],"results":[154],"show":[155],"that":[156],"proposed":[158],"can":[160],"achieve":[161],"better":[162],"performance":[164],"than":[165],"existing":[166],"methods.":[167]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
