{"id":"https://openalex.org/W2086971086","doi":"https://doi.org/10.1109/cvpr.2012.6247997","title":"Context aware topic model for scene recognition","display_name":"Context aware topic model for scene recognition","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2086971086","doi":"https://doi.org/10.1109/cvpr.2012.6247997","mag":"2086971086"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","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/A5113948735","display_name":"Zhenxing Niu","orcid":"https://orcid.org/0000-0003-1660-5138"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenxing Niu","raw_affiliation_strings":["Xidian University, China","Xidian Univ"],"affiliations":[{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian Univ","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081114810","display_name":"Gang Hua","orcid":"https://orcid.org/0000-0001-9522-6157"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gang Hua","raw_affiliation_strings":["Stevens Institute of Technology, USA","Stevens Inst of Tech"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology, USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Stevens Inst of Tech","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Xidian University, China","Xidian Univ"],"affiliations":[{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Xidian Univ","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111504451","display_name":"Qi Tian","orcid":"https://orcid.org/0009-0003-2676-5300"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi Tian","raw_affiliation_strings":["University of Texas-San Antonio, USA","University of Texas at San Antonio"],"affiliations":[{"raw_affiliation_string":"University of Texas-San Antonio, USA","institution_ids":["https://openalex.org/I45438204"]},{"raw_affiliation_string":"University of Texas at San Antonio","institution_ids":["https://openalex.org/I45438204"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113948735"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":15.0996,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.99280459,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2743","last_page":"2750"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval 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/T10627","display_name":"Advanced Image and Video Retrieval 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/T10824","display_name":"Image Retrieval and Classification 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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.991100013256073,"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/discriminative-model","display_name":"Discriminative model","score":0.882611870765686},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7923401594161987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7649344801902771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7188267111778259},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6057530045509338},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5677800178527832},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5374940037727356},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5352364778518677},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4882969856262207},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.48072531819343567},{"id":"https://openalex.org/keywords/scene-statistics","display_name":"Scene statistics","score":0.4431276023387909},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4323294758796692},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4275636076927185},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.41824179887771606},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41754189133644104},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.326119065284729},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08960968255996704},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.0696445107460022},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.06635528802871704}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.882611870765686},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7923401594161987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7649344801902771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7188267111778259},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6057530045509338},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5677800178527832},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5374940037727356},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5352364778518677},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4882969856262207},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.48072531819343567},{"id":"https://openalex.org/C197654239","wikidata":"https://www.wikidata.org/wiki/Q7430757","display_name":"Scene statistics","level":3,"score":0.4431276023387909},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4323294758796692},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4275636076927185},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.41824179887771606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41754189133644104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.326119065284729},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08960968255996704},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0696445107460022},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.06635528802871704},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2012.6247997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247997","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W1976869522","https://openalex.org/W1980653811","https://openalex.org/W1999478155","https://openalex.org/W2020842694","https://openalex.org/W2089903940","https://openalex.org/W2098062695","https://openalex.org/W2106624428","https://openalex.org/W2107034620","https://openalex.org/W2107743791","https://openalex.org/W2122683976","https://openalex.org/W2122934855","https://openalex.org/W2125849446","https://openalex.org/W2129004009","https://openalex.org/W2147625498","https://openalex.org/W2149035855","https://openalex.org/W2151800797","https://openalex.org/W2154301842","https://openalex.org/W2154422044","https://openalex.org/W2161050705","https://openalex.org/W2162820221","https://openalex.org/W2162915993","https://openalex.org/W2168133252","https://openalex.org/W4233135949","https://openalex.org/W4236253605","https://openalex.org/W4248892431","https://openalex.org/W4252381709","https://openalex.org/W6639619044","https://openalex.org/W6674735981","https://openalex.org/W6676016205","https://openalex.org/W6678684981","https://openalex.org/W6681769576","https://openalex.org/W6682139812","https://openalex.org/W6834357723"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W4293863151","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013"],"abstract_inverted_index":{"We":[0,72],"present":[1],"a":[2,80,100],"discriminative":[3,81],"latent":[4],"topic":[5,89],"model":[6,14],"for":[7,53],"scene":[8,35,54,92,107],"recognition.":[9],"The":[10],"capacity":[11],"of":[12,20,23,33,40,60,70,114],"our":[13],"is":[15,94],"originated":[16],"from":[17],"the":[18,27,38,41,112,115],"modeling":[19],"two":[21,62,75],"types":[22],"visual":[24,42,63,77],"contexts,":[25,64],"i.e.,":[26],"category":[28],"specific":[29],"global":[30],"spatial":[31],"layout":[32],"different":[34],"elements,":[36],"and":[37],"reinforcement":[39],"coherence":[43],"in":[44,79],"uniform":[45],"local":[46],"regions.":[47],"In":[48],"contrast,":[49],"most":[50],"previous":[51],"methods":[52],"recognition":[55,93,108],"either":[56],"only":[57],"modeled":[58],"one":[59],"these":[61,74],"or":[65],"just":[66],"totally":[67],"ignored":[68],"both":[69],"them.":[71],"cast":[73],"coupled":[76],"contexts":[78],"Latent":[82],"Dirichlet":[83],"Allocation":[84],"framework,":[85],"namely":[86],"context":[87],"aware":[88],"model.":[90,117],"Then":[91],"achieved":[95],"by":[96],"Bayesian":[97],"inference":[98],"given":[99],"target":[101],"image.":[102],"Our":[103],"experiments":[104],"on":[105],"several":[106],"benchmarks":[109],"clearly":[110],"demonstrated":[111],"advantages":[113],"proposed":[116]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":27},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}