{"id":"https://openalex.org/W2009707848","doi":"https://doi.org/10.1109/icassp.2010.5494943","title":"Automatic image annotation with continuous PLSA","display_name":"Automatic image annotation with continuous PLSA","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2009707848","doi":"https://doi.org/10.1109/icassp.2010.5494943","mag":"2009707848"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5494943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5494943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5100701695","display_name":"Zhixin Li","orcid":"https://orcid.org/0000-0002-5313-6134"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhixin Li","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190 China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190 China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072412248","display_name":"Zhiping Shi","orcid":"https://orcid.org/0000-0002-3562-8602"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiping Shi","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190 China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190 China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450785","display_name":"Xi Liu","orcid":"https://orcid.org/0000-0002-1110-2382"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Liu","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, Beijing, CN","The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190 China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190 China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075925664","display_name":"Zhongzhi Shi","orcid":"https://orcid.org/0000-0002-3280-1676"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongzhi Shi","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190 China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190 China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100701695"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":1.9123,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86555586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"806","last_page":"809"},"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":0.9983000159263611,"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":0.9866999983787537,"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/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.9508461356163025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7590795755386353},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6888695955276489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6548328399658203},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.5556332468986511},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5040308833122253},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4688129425048828},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.4441917836666107},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4417475461959839},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4106653332710266},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4078572988510132},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.370809942483902},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35310661792755127},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34299951791763306},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30316072702407837},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.1882459819316864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0971643328666687},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0678289532661438}],"concepts":[{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.9508461356163025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7590795755386353},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6888695955276489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6548328399658203},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.5556332468986511},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5040308833122253},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4688129425048828},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.4441917836666107},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4417475461959839},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4106653332710266},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4078572988510132},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.370809942483902},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35310661792755127},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34299951791763306},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30316072702407837},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.1882459819316864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0971643328666687},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0678289532661438},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2010.5494943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5494943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1666447063","https://openalex.org/W2020842694","https://openalex.org/W2049633694","https://openalex.org/W2115876302","https://openalex.org/W2122695597","https://openalex.org/W2125238156","https://openalex.org/W2127411609","https://openalex.org/W2130660124","https://openalex.org/W2134731454","https://openalex.org/W2137918516","https://openalex.org/W2150692003","https://openalex.org/W2156336347","https://openalex.org/W2181691731","https://openalex.org/W2283195891","https://openalex.org/W3129711340","https://openalex.org/W4248892431","https://openalex.org/W4285719527","https://openalex.org/W6637249095","https://openalex.org/W6678852649","https://openalex.org/W7011438494"],"related_works":["https://openalex.org/W2921491680","https://openalex.org/W2082325506","https://openalex.org/W2982493961","https://openalex.org/W2784194212","https://openalex.org/W2251863249","https://openalex.org/W2132052677","https://openalex.org/W2172231696","https://openalex.org/W4291700620","https://openalex.org/W2089969684","https://openalex.org/W2087743880"],"abstract_inverted_index":{"Automatic":[0],"image":[1],"annotation":[2,65,102],"has":[3],"become":[4],"an":[5,92],"important":[6],"and":[7,71,78,96,129],"challenging":[8],"problem":[9],"due":[10],"to":[11,28,40,48,74],"the":[12,42,51,85],"existence":[13],"of":[14,53,58],"semantic":[15,25,64,101],"gap.":[16],"In":[17,32],"this":[18],"paper,":[19],"we":[20,61],"firstly":[21],"extend":[22],"probabilistic":[23],"latent":[24],"analysis":[26],"(PLSA)":[27],"model":[29,43,66,75,83],"continuous":[30,69],"quantity.":[31],"addition,":[33],"corresponding":[34],"Expectation-Maximization":[35],"(EM)":[36],"algorithm":[37],"is":[38],"derived":[39],"determine":[41],"parameters.":[44],"Furthermore,":[45],"in":[46,56],"order":[47],"deal":[49],"with":[50,110],"data":[52],"different":[54],"modalities":[55,90],"terms":[57],"their":[59],"characteristics,":[60],"present":[62],"a":[63,115],"which":[67],"employs":[68],"PLSA":[70,73],"standard":[72,116],"visual":[76],"features":[77],"textual":[79],"words":[80],"respectively.":[81],"The":[82,119],"learns":[84],"correlation":[86],"between":[87],"these":[88],"two":[89],"by":[91],"asymmetric":[93],"learning":[94],"approach":[95,109,125],"then":[97],"it":[98],"can":[99],"predict":[100],"for":[103],"unseen":[104],"images.":[105],"We":[106],"compare":[107],"our":[108,124],"several":[111],"state-of-the-art":[112],"approaches":[113],"on":[114],"Corel":[117],"dataset.":[118],"experiment":[120],"results":[121],"show":[122],"that":[123],"performs":[126],"more":[127],"effectively":[128],"accurately.":[130]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}