{"id":"https://openalex.org/W2149879563","doi":null,"title":"XRCE's Participation to ImageCLEFphoto 2007","display_name":"XRCE's Participation to ImageCLEFphoto 2007","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2149879563","mag":"2149879563"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.73.3133","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.3133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.xrce.xerox.com/Publications/Attachments/2007-036/2007-036.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5031052064","display_name":"St\u00e9phane Clinchant","orcid":"https://orcid.org/0000-0003-2367-8837","observed_orcids":["https://orcid.org/0000-0003-2367-8837"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"St\u00e9phane Clinchant","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2367-8837","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075357420","display_name":"Jean-Michel Renders","orcid":"https://orcid.org/0000-0002-7516-3707","observed_orcids":["https://orcid.org/0000-0002-7516-3707"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jean-Michel Renders","raw_affiliation_strings":["Xerox"],"raw_orcid":"https://orcid.org/0000-0002-7516-3707","affiliations":[{"raw_affiliation_string":"Xerox","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109475590","display_name":"Gabriela Csurka","orcid":"https://orcid.org/0009-0005-1067-1056","observed_orcids":["https://orcid.org/0009-0005-1067-1056"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gabriela Csurka","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.656,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89942953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.7788000106811523,"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":0.7788000106811523,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.12150000035762787,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.08009999990463257,"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/pseudo-relevance-feedback","display_name":"pseudo-relevance feedback","score":0.8379999995231628},{"id":"https://openalex.org/keywords/multimodal-image-retrieval","display_name":"multimodal image retrieval","score":0.7630000114440918},{"id":"https://openalex.org/keywords/image-text-retrieval","display_name":"image-text retrieval","score":0.5}],"concepts":[{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7194004058837891},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7085329294204712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6772316098213196},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.628777027130127},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.60710209608078},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6005064249038696},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.5934044718742371},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4623360335826874},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.441000759601593},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4365920126438141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26360994577407837},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.73.3133","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.3133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.xrce.xerox.com/Publications/Attachments/2007-036/2007-036.pdf","raw_type":"text"},{"id":"mag:2149879563","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-1173/CLEF2007wn-ImageCLEF-ClinchantEt2007.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306506385","display_name":"CLEF (Working Notes)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"CLEF (Working Notes)","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W280632315","https://openalex.org/W1592774159","https://openalex.org/W1625255723","https://openalex.org/W1666447063","https://openalex.org/W1964348731","https://openalex.org/W2020842694","https://openalex.org/W2052088591","https://openalex.org/W2123241287","https://openalex.org/W2127411609","https://openalex.org/W2128197086","https://openalex.org/W2131846894","https://openalex.org/W2132609748","https://openalex.org/W2137918516","https://openalex.org/W2141159588","https://openalex.org/W2147238549","https://openalex.org/W2151103935","https://openalex.org/W2156336347","https://openalex.org/W2166473218","https://openalex.org/W2170512680","https://openalex.org/W2293666256","https://openalex.org/W2917475213"],"related_works":["https://openalex.org/W2179034043","https://openalex.org/W7098192972","https://openalex.org/W1826512684","https://openalex.org/W1494798141","https://openalex.org/W2155043600","https://openalex.org/W2125398487","https://openalex.org/W1948856309","https://openalex.org/W2059690486","https://openalex.org/W7096859332","https://openalex.org/W2103612313"],"abstract_inverted_index":{"Our":[0],"participation":[1],"to":[2,76,79],"ImageCLEFphoto07,":[3],"for":[4,51,147],"the":[5,53,63,81,115],"first":[6,92],"time,":[7],"was":[8],"motivated":[9],"by":[10],"assessing":[11],"several":[12],"transmedia":[13,48,160],"similarity":[14,83,162],"measures":[15,163],"that":[16,68,109,138],"we":[17,36,113],"recently":[18],"designed":[19],"and":[20,95,120,150],"developed.":[21],"The":[22],"object":[23,58],"of":[24,56,87,105,134],"investigation":[25],"consists":[26],"here":[27],"in":[28,111],"some":[29,38],"\u201cintermediate":[30],"level":[31],"\u201d":[32,119,123,131],"fusion":[33],"approaches,":[34],"where":[35],"use":[37,47],"principles":[39],"coming":[40,61,89],"from":[41,62,90],"pseudo-relevance":[42,49],"feedback":[43,50,122],"and,":[44],"more":[45,143],"specifically,":[46],"enriching":[52],"mono-media":[54,82,139],"representation":[55],"an":[57,85],"with":[59,128],"features":[60],"other":[64],"media.":[65],"One":[66],"issue":[67],"arises":[69],"when":[70],"adopting":[71],"such":[72],"a":[73,91,129],"strategy":[74],"is":[75,142],"determine":[77],"how":[78],"compute":[80],"between":[84],"aggregate":[86],"objects":[88],"(pseudo-)feedback":[93],"step":[94],"one":[96],"single":[97],"multimodal":[98],"object.":[99],"We":[100],"propose":[101],"two":[102],"alternative":[103],"ways":[104],"adressing":[106],"this":[107],"issue,":[108],"result":[110],"what":[112],"called":[114],"\u201ctransmedia":[116],"document":[117],"reranking":[118],"\u201ccomplementary":[121],"methods":[124],"respectively.":[125],"This":[126],"year,":[127],"\u201clightly":[130],"annotated":[132],"corpus":[133],"images,":[135],"it":[136],"appears":[137],"retrieval":[140],"performance":[141],"or":[144],"less":[145],"equivalent":[146],"pure":[148,151],"image":[149],"text":[152],"content":[153],"(around":[154],"20":[155],"%":[156],"MAP).":[157],"Using":[158],"our":[159],"pseudofeedback-based":[161]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2016-06-24T00:00:00"}
