{"id":"https://openalex.org/W2106290006","doi":"https://doi.org/10.1109/icpr.2008.4761568","title":"Effective scene matching with local feature representatives","display_name":"Effective scene matching with local feature representatives","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2106290006","doi":"https://doi.org/10.1109/icpr.2008.4761568","mag":"2106290006"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761568","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5032460666","display_name":"Shugao Ma","orcid":"https://orcid.org/0000-0002-4986-2221"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shugao Ma","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721601","display_name":"Weiqiang Wang","orcid":"https://orcid.org/0000-0002-7185-2804"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqiang Wang","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China","Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy and Sciences, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China","Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy and Sciences, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085719285","display_name":"Shuqiang Jiang","orcid":"https://orcid.org/0000-0002-1596-4326"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuqiang Jiang","raw_affiliation_strings":["Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy and Sciences, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["Institute of Digital Media, Peking University, Beijing, China","Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Media, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy and Sciences, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032460666"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":1.259,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72307692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"4"},"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":1.0,"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":1.0,"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":0.9984999895095825,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.697493851184845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6859613656997681},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6726969480514526},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6343532800674438},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.612755298614502},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.5360809564590454},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5345557928085327},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5014338493347168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48900139331817627},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.44346368312835693},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4429536759853363},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42483091354370117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24051755666732788}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.697493851184845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6859613656997681},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6726969480514526},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6343532800674438},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.612755298614502},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.5360809564590454},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5345557928085327},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5014338493347168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48900139331817627},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.44346368312835693},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4429536759853363},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42483091354370117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24051755666732788},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2008.4761568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761568","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8100000023841858,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335774","display_name":"Key Technologies Research and Development Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1532311179","https://openalex.org/W2098789800","https://openalex.org/W2124404372","https://openalex.org/W2126833203","https://openalex.org/W2143668817","https://openalex.org/W2145072179","https://openalex.org/W2147332957","https://openalex.org/W2151103935","https://openalex.org/W2165232124","https://openalex.org/W2172188317","https://openalex.org/W6681554747"],"related_works":["https://openalex.org/W2156910174","https://openalex.org/W1995054232","https://openalex.org/W2011510925","https://openalex.org/W1557920161","https://openalex.org/W1556709767","https://openalex.org/W1993023208","https://openalex.org/W4291020658","https://openalex.org/W2593813644","https://openalex.org/W2061476331","https://openalex.org/W1589415932"],"abstract_inverted_index":{"Scene":[0],"matching":[1,38],"measures":[2],"the":[3,64,69,124],"similarity":[4,87],"of":[5,11,24,56,88,107],"scenes":[6,89],"in":[7,14,90],"photos":[8,26,116],"and":[9,83],"is":[10,50,93,121],"central":[12],"importance":[13],"applications":[15],"where":[16,63],"we":[17,33],"have":[18],"to":[19,74,79,123],"properly":[20],"organize":[21],"large":[22],"amount":[23],"digital":[25],"by":[27,96],"scene":[28,37,49],"categories.":[29],"In":[30],"this":[31],"paper,":[32],"present":[34],"a":[35,45,54,97],"novel":[36],"method":[39,120],"using":[40,68],"local":[41,60,76,108],"features":[42,77],"representatives.":[43,110],"For":[44],"given":[46],"image,":[47],"its":[48],"compactly":[51],"represented":[52],"as":[53],"set":[55],"cluster":[57],"centers,":[58],"called":[59],"feature":[61,109],"representatives,":[62],"clusters":[65],"are":[66],"obtained":[67],"affinity":[70],"propagation":[71],"(AP)":[72],"algorithm":[73],"aggregate":[75],"according":[78],"their":[80,104],"spatial":[81],"closeness":[82],"appearance":[84],"similarity.":[85],"The":[86],"two":[91],"images":[92],"then":[94],"measured":[95],"modified":[98],"Earth":[99],"Mover":[100],"Distance":[101],"(EMD)":[102],"between":[103],"corresponding":[105],"sets":[106],"Empirical":[111],"experiments":[112],"on":[113],"real":[114],"world":[115],"shows":[117],"that":[118],"our":[119],"comparable":[122],"state-of-the-arts.":[125]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
