{"id":"https://openalex.org/W2187327072","doi":null,"title":"Semantic Contexts and Fisher Vectors for the ImageCLEF 2011 Photo Annotation Task","display_name":"Semantic Contexts and Fisher Vectors for the ImageCLEF 2011 Photo Annotation Task","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2187327072","mag":"2187327072"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.373.216","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.373.216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hal.inria.fr/docs/00/80/86/56/PDF/11_image_CLEF.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-00808656","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yu Su","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210139483","display_name":"GREYC","ror":"https://ror.org/043749971","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210139483","https://openalex.org/I4210159245","https://openalex.org/I98702875"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yu Su","raw_affiliation_strings":["Equipe Image - Laboratoire GREYC - UMR6072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Equipe Image - Laboratoire GREYC - UMR6072","institution_ids":["https://openalex.org/I4210139483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001375778","display_name":"Fr\u00e9d\u00e9ric Jurie","orcid":"https://orcid.org/0000-0002-2686-0020","observed_orcids":["https://orcid.org/0000-0002-2686-0020"]},"institutions":[{"id":"https://openalex.org/I4210139483","display_name":"GREYC","ror":"https://ror.org/043749971","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210139483","https://openalex.org/I4210159245","https://openalex.org/I98702875"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Jurie","raw_affiliation_strings":["Equipe Image - Laboratoire GREYC - UMR6072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Equipe Image - Laboratoire GREYC - UMR6072","institution_ids":["https://openalex.org/I4210139483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210139483"],"apc_list":null,"apc_paid":null,"fwci":2.0516,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86784126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"11 pages","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":0.9526000022888184,"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":0.9526000022888184,"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":0.04610000178217888,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.00019999999494757503,"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/image-annotation","display_name":"image annotation","score":0.8690000176429749},{"id":"https://openalex.org/keywords/fisher-vectors","display_name":"Fisher vectors","score":0.7559999823570251},{"id":"https://openalex.org/keywords/semantic-context","display_name":"semantic context","score":0.7269999980926514},{"id":"https://openalex.org/keywords/decision-level-fusion","display_name":"decision fusion","score":0.6690000295639038},{"id":"https://openalex.org/keywords/support-vector-machine-classification","display_name":"support vector machine classification","score":0.6729999780654907},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"image retrieval","score":0.39899998903274536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.807599663734436},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7423644661903381},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7277444005012512},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6579922437667847},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6322870254516602},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5934290885925293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5640653967857361},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5476471781730652},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.5102736949920654},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4499847888946533},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40705668926239014},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39628398418426514},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33694887161254883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3258565068244934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10211631655693054},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.373.216","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.373.216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hal.inria.fr/docs/00/80/86/56/PDF/11_image_CLEF.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.393.61","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.393.61","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://jurie.users.greyc.fr/papers/11_image_CLEF.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00808656v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-00808656","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CLEF (Notebook Papers/Labs/Workshop), 2011, Amsterdam, Netherlands. 11 p","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00808656v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-00808656","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CLEF (Notebook Papers/Labs/Workshop), 2011, Amsterdam, Netherlands. 11 p","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1606858007","https://openalex.org/W1980653811","https://openalex.org/W2039594484","https://openalex.org/W2108082645","https://openalex.org/W2144502914","https://openalex.org/W2145023731","https://openalex.org/W2146022472","https://openalex.org/W2147238549","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2294280119"],"related_works":["https://openalex.org/W7096230423","https://openalex.org/W2296138661","https://openalex.org/W2181949039","https://openalex.org/W2396922316","https://openalex.org/W7095493684","https://openalex.org/W7098663796","https://openalex.org/W7100070492","https://openalex.org/W7096615710","https://openalex.org/W2398955161","https://openalex.org/W2398075074"],"abstract_inverted_index":{"Abstract.":[0],"This":[1],"paper":[2],"describes":[3],"the":[4,9,31,58,68,80,100],"participation":[5],"of":[6,25,82,102],"UNI-CAEN/GREYC":[7],"to":[8,71],"ImageCLEF":[10],"2011":[11],"photo":[12],"annotation":[13],"task.":[14],"The":[15,43,75],"proposed":[16],"approach":[17],"uses":[18],"visual":[19],"image":[20,113],"features":[21],"and":[22,48,85,112],"binary":[23],"annotations":[24,32],"concepts":[26],"only.":[27],"In":[28],"this":[29],"approach,":[30],"are":[33],"predicted":[34],"by":[35],"SVM":[36],"classifiers":[37,44],"trained":[38],"separately":[39],"for":[40,95,109],"each":[41],"concept.":[42],"take":[45],"Bag-of-Words":[46,69,83],"histograms":[47,70,84],"fisher":[49],"vectors":[50,87],"representations":[51],"as":[52],"inputs,":[53],"both":[54,110],"being":[55],"combined":[56],"at":[57],"decision":[59],"level.":[60],"Furthermore,":[61,99],"contextual":[62],"information":[63],"is":[64],"also":[65],"embedded":[66],"into":[67],"enhance":[72],"their":[73],"performance.":[74],"experimental":[76],"results":[77,101],"show":[78],"that":[79],"combination":[81],"Fisher":[86],"brings":[88],"significant":[89],"performance":[90],"increase":[91],"(e.g.":[92],"4":[93],"%":[94],"Mean":[96],"Average":[97],"Precision).":[98],"our":[103],"best-run":[104],"rank":[105],"in":[106],"top":[107],"3":[108],"concept":[111],"level":[114],"evaluations.":[115]},"counts_by_year":[{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-10-25T09:29:13.331239","created_date":"2016-06-24T00:00:00"}