{"id":"https://openalex.org/W1964363264","doi":"https://doi.org/10.1145/1991996.1992009","title":"Exploiting contextual spaces for image re-ranking and rank aggregation","display_name":"Exploiting contextual spaces for image re-ranking and rank aggregation","publication_year":2011,"publication_date":"2011-04-18","ids":{"openalex":"https://openalex.org/W1964363264","doi":"https://doi.org/10.1145/1991996.1992009","mag":"1964363264"},"language":"en","primary_location":{"id":"doi:10.1145/1991996.1992009","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1991996.1992009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM International Conference on Multimedia Retrieval","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/A5078511671","display_name":"Daniel Carlos Guimar\u00e3es Pedronette","orcid":"https://orcid.org/0000-0002-2867-4838"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Daniel Carlos Guimar\u00e3es Pedronette","raw_affiliation_strings":["University of Campinas, Campinas, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Campinas, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087058987","display_name":"Ricardo da Silva Torres","orcid":"https://orcid.org/0000-0001-9772-263X"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ricardo da S. Torres","raw_affiliation_strings":["University of Campinas, Campinas, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Campinas, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078511671"],"corresponding_institution_ids":["https://openalex.org/I181391015"],"apc_list":null,"apc_paid":null,"fwci":4.09286392,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.94865769,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification 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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.998199999332428,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/ranking","display_name":"Ranking (information retrieval)","score":0.7770015001296997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7294898629188538},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7114818096160889},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6289350390434265},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.586001455783844},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.582112729549408},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5417987704277039},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.541691780090332},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.524703860282898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4926171898841858},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49130716919898987},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46254536509513855},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40873995423316956},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19726088643074036}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7770015001296997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294898629188538},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7114818096160889},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6289350390434265},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.586001455783844},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.582112729549408},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5417987704277039},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.541691780090332},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.524703860282898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4926171898841858},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49130716919898987},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46254536509513855},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40873995423316956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19726088643074036},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1991996.1992009","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1991996.1992009","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5400000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323854","display_name":"Universidade Estadual de Campinas","ror":"https://ror.org/04wffgt70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W72708899","https://openalex.org/W148730843","https://openalex.org/W1483634300","https://openalex.org/W1552231868","https://openalex.org/W1575129940","https://openalex.org/W1597084354","https://openalex.org/W1854948231","https://openalex.org/W1917380066","https://openalex.org/W2021512179","https://openalex.org/W2031586513","https://openalex.org/W2039388884","https://openalex.org/W2054210450","https://openalex.org/W2055979507","https://openalex.org/W2057175746","https://openalex.org/W2057256380","https://openalex.org/W2106404777","https://openalex.org/W2115745693","https://openalex.org/W2126491576","https://openalex.org/W2132300069","https://openalex.org/W2134878079","https://openalex.org/W2135753071","https://openalex.org/W2150571057","https://openalex.org/W2152769698","https://openalex.org/W2159498852","https://openalex.org/W2159973364","https://openalex.org/W2163352848","https://openalex.org/W2165414070","https://openalex.org/W2170818070","https://openalex.org/W2914885528","https://openalex.org/W6681968602","https://openalex.org/W7062157157"],"related_works":["https://openalex.org/W2011472225","https://openalex.org/W3000057026","https://openalex.org/W3048565508","https://openalex.org/W3163984363","https://openalex.org/W3160516639","https://openalex.org/W2900811989","https://openalex.org/W2746816529","https://openalex.org/W2341223103","https://openalex.org/W2024252608","https://openalex.org/W2905186525"],"abstract_inverted_index":{"The":[0,107],"objective":[1],"of":[2,27,47,76,159],"Content-based":[3],"Image":[4],"Retrieval":[5],"(CBIR)":[6],"systems":[7,33,100],"is":[8,26],"to":[9,72,114,150],"return":[10],"the":[11,50,55,74,157],"most":[12],"similar":[13],"images":[14,25,93],"given":[15],"an":[16],"image":[17,37,128],"query.":[18],"In":[19,30,84],"this":[20],"scenario,":[21],"accurately":[22],"ranking":[23],"collection":[24],"great":[28],"relevance.":[29],"general,":[31],"CBIR":[32,77,99],"consider":[34],"only":[35,45],"pairwise":[36],"analysis,":[38],"that":[39],"is,":[40],"compute":[41],"similarity":[42],"measures":[43],"considering":[44],"pair":[46],"images,":[48],"ignoring":[49],"rich":[51],"information":[52,87],"encoded":[53,88],"in":[54,89],"relations":[56,81],"among":[57,82,92],"several":[58,140],"images.":[59,83],"This":[60],"paper":[61],"presents":[62],"a":[63],"novel":[64],"re-ranking":[65,108],"approach":[66],"based":[67],"on":[68],"contextual":[69,105],"spaces":[70],"aiming":[71],"improve":[73],"effectiveness":[75,158],"tasks,":[78,116],"by":[79,98,125],"exploring":[80],"our":[85,160],"approach,":[86],"both":[90],"distances":[91],"and":[94,132,145,148],"ranked":[95,122],"lists":[96,123],"computed":[97],"are":[101],"used":[102],"for":[103,120,134],"analyzing":[104],"information.":[106],"method":[109],"can":[110],"also":[111],"be":[112],"applied":[113],"other":[115,151],"such":[117],"as:":[118],"(i)":[119],"combining":[121,135],"obtained":[124],"using":[126],"different":[127],"descriptors":[129,147],"(rank":[130],"aggregation);":[131],"(ii)":[133],"post-processing":[136,152],"methods.":[137,153],"We":[138],"conducted":[139],"experiments":[141],"involving":[142],"shape,":[143],"color,":[144],"texture":[146],"comparisons":[149],"Experimental":[154],"results":[155],"demonstrate":[156],"method.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}