{"id":"https://openalex.org/W1595632169","doi":"https://doi.org/10.1109/icsmc.2003.1243827","title":"Semantic image classification based on Bayesian framework and one-step relevance feedback","display_name":"Semantic image classification based on Bayesian framework and one-step relevance feedback","publication_year":2004,"publication_date":"2004-06-22","ids":{"openalex":"https://openalex.org/W1595632169","doi":"https://doi.org/10.1109/icsmc.2003.1243827","mag":"1595632169"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2003.1243827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1243827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102060935","display_name":"Guanghuan Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghunn Hu","raw_affiliation_strings":["College of Computer Science, University of Zhejiang, Hangzhou, China","College of Computer Science, Zhejiang University,,,Hangzhou,,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, University of Zhejiang, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University,,,Hangzhou,,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016104855","display_name":"Jiajun Bu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjun Bu","raw_affiliation_strings":["College of Computer Science, University of Zhejiang, Hangzhou, China","College of Computer Science, Zhejiang University,,,Hangzhou,,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, University of Zhejiang, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University,,,Hangzhou,,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054661471","display_name":"Chun Chen","orcid":"https://orcid.org/0000-0002-3608-6972"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Chen","raw_affiliation_strings":["College of Computer Science, University of Zhejiang, Hangzhou, China","College of Computer Science, Zhejiang University,,,Hangzhou,,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, University of Zhejiang, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University,,,Hangzhou,,China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.0840428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"268","last_page":"273"},"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":0.9973000288009644,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9514999985694885,"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/relevance-feedback","display_name":"Relevance feedback","score":0.8395154476165771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7744009494781494},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7518677711486816},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6142577528953552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.571407675743103},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47844579815864563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4585447609424591},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4553516209125519},{"id":"https://openalex.org/keywords/division","display_name":"Division (mathematics)","score":0.4181378483772278},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.38808003067970276},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3657447099685669},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.365606427192688},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36497294902801514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13178613781929016}],"concepts":[{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.8395154476165771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7744009494781494},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7518677711486816},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6142577528953552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.571407675743103},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47844579815864563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4585447609424591},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4553516209125519},{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.4181378483772278},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.38808003067970276},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3657447099685669},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.365606427192688},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36497294902801514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13178613781929016},{"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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2003.1243827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1243827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1995182790","https://openalex.org/W2029437394","https://openalex.org/W2101498401","https://openalex.org/W2104825706","https://openalex.org/W2127370936","https://openalex.org/W4250143236","https://openalex.org/W6675152473"],"related_works":["https://openalex.org/W2034539438","https://openalex.org/W1606474234","https://openalex.org/W2184057774","https://openalex.org/W2124645781","https://openalex.org/W1975659822","https://openalex.org/W3087943932","https://openalex.org/W2349022781","https://openalex.org/W2168747791","https://openalex.org/W2368663325","https://openalex.org/W2391460410"],"abstract_inverted_index":{"Grouping":[0],"photos":[1],"into":[2,72],"semantically":[3],"meaningful":[4],"categories":[5],"is":[6],"an":[7],"important":[8],"issue":[9],"in":[10],"many":[11],"applications":[12],"that":[13,110],"use":[14],"low-level":[15,23,65],"features":[16,24,66],"to":[17,83,96,103],"deal":[18],"with":[19],"consumer":[20],"photographs.":[21],"However,":[22],"such":[25],"as":[26],"color":[27],"and":[28,35,57,67,100],"texture":[29],"did":[30],"not":[31],"contain":[32],"the":[33,85,94,98],"local":[34,99],"spatial":[36,68,101],"properties":[37,69,102],"of":[38,89],"images.":[39,90,106],"And":[40],"high":[41,111],"accuracy":[42,112],"cannot":[43],"be":[44,114],"obtained":[45,115],"for":[46,116],"general":[47,117],"semantic":[48,118],"classification":[49,119],"problems.":[50,120],"An":[51],"approach":[52],"based":[53],"on":[54],"Bayesian":[55,73],"framework":[56],"one-step":[58,77],"relevance":[59,78],"feedback":[60,79],"was":[61,70,81],"proposed.":[62],"Knowledge":[63],"from":[64],"integrated":[71],"framework.":[74],"Furthermore,":[75],"a":[76],"method":[80],"implemented":[82],"specify":[84],"optimal":[86],"division":[87],"strategy":[88],"The":[91],"system":[92],"provides":[93],"ability":[95],"utilize":[97],"classify":[104],"new":[105],"Experimental":[107],"results":[108],"show":[109],"can":[113]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}