{"id":"https://openalex.org/W2111103876","doi":"https://doi.org/10.1145/1101826.1101856","title":"A mutual semantic endorsement approach to image retrieval and context provision","display_name":"A mutual semantic endorsement approach to image retrieval and context provision","publication_year":2005,"publication_date":"2005-11-10","ids":{"openalex":"https://openalex.org/W2111103876","doi":"https://doi.org/10.1145/1101826.1101856","mag":"2111103876"},"language":"en","primary_location":{"id":"doi:10.1145/1101826.1101856","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1101826.1101856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM SIGMM international workshop on Multimedia information 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/A5100405681","display_name":"Jia Li","orcid":"https://orcid.org/0000-0002-3108-8645"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jia Li","raw_affiliation_strings":["Pennsylvania State University, University Park, PA","PENNSYLVANIA STATE UNIVERSITY, UNIVERSITY PARK, PA"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, University Park, PA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"PENNSYLVANIA STATE UNIVERSITY, UNIVERSITY PARK, PA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100405681"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":1.4687,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83835389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"173","last_page":"182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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":0.9818000197410583,"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/computer-science","display_name":"Computer science","score":0.844710111618042},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7539278268814087},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.7478859424591064},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7088715434074402},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6698304414749146},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.6375948786735535},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6331641674041748},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38145920634269714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3741625249385834}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.844710111618042},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7539278268814087},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7478859424591064},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7088715434074402},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6698304414749146},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.6375948786735535},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6331641674041748},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38145920634269714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3741625249385834},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1101826.1101856","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1101826.1101856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1575216943","https://openalex.org/W1666447063","https://openalex.org/W1969159535","https://openalex.org/W1971784203","https://openalex.org/W2062024414","https://openalex.org/W2066676459","https://openalex.org/W2098749147","https://openalex.org/W2100935296","https://openalex.org/W2109868644","https://openalex.org/W2130660124","https://openalex.org/W2138826255","https://openalex.org/W2150692003","https://openalex.org/W2166011226","https://openalex.org/W2166866346","https://openalex.org/W4255272544","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3177930984","https://openalex.org/W2052697133","https://openalex.org/W2119028572","https://openalex.org/W2376984068","https://openalex.org/W2152482390","https://openalex.org/W2365617273","https://openalex.org/W2076896210","https://openalex.org/W2506386910","https://openalex.org/W2387268739","https://openalex.org/W2168037874"],"abstract_inverted_index":{"Learning":[0],"semantics":[1,41,47],"from":[2,151],"annotated":[3,49],"images":[4,26,50],"to":[5,38,63,89,140,169],"enhance":[6],"content-based":[7],"retrieval":[8,99],"is":[9,36,72,101],"an":[10],"important":[11],"research":[12],"direction.":[13],"In":[14],"this":[15],"paper,annotation":[16],"data":[17],"are":[18,58,87],"assumed":[19],"available":[20],"for":[21,126,167],"only":[22],"a":[23,52,56,92,127,136,145,161,165,180],"subset":[24],"of":[25,42,48,55,67,95,109,130,160,179],"inside":[27],"the":[28,32,40,46,65,142,152,158,177],"database.":[29,153],"An":[30,70],"on":[31],"fly":[33],"learning":[34],"method":[35,100],"developed":[37],"capture":[39],"query":[43,57,146],"images.":[44,96],"Specifically,":[45],"in":[51,176],"visual":[53],"proximity":[54],"compared":[59],"with":[60,83],"each":[61],"other":[62],"determine":[64],"amount":[66],"mutual":[68,85],"endorsement.":[69],"image":[71],"considered":[73],"endorsed":[74],"by":[75,120,172],"another":[76],"if":[77],"they":[78],"possess":[79],"similar":[80],"semantics.":[81],"Annotations":[82],"high":[84],"endorsement":[86,116],"used":[88],"narrow":[90],"down":[91],"candidate":[93],"pool":[94],"The":[97],"new":[98],"inherently":[102],"dynamic":[103],"and":[104,147,163],"treats":[105],"seamlessly":[106],"different":[107,174],"forms":[108],"annotation":[110],"data.":[111],"Experiments":[112],"show":[113],"that":[114],"semantic":[115,148],"can":[117],"increase":[118],"precision":[119],"as":[121,123],"much":[122],"70%in":[124],"average":[125],"wide":[128],"range":[129],"parameter":[131],"settings.":[132],"We":[133],"also":[134],"develop":[135],"context":[137],"provision":[138],"mechanism":[139],"reveal":[141],"relationship":[143],"between":[144],"clusters":[149],"extracted":[150],"Context":[154],"helps":[155],"users":[156],"explore":[157],"content":[159],"database":[162],"provides":[164],"platform":[166],"them":[168],"tailor":[170],"searches":[171],"stressing":[173],"perspectives":[175],"interpretation":[178],"query.":[181]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
