{"id":"https://openalex.org/W2070997809","doi":"https://doi.org/10.1109/icip.2011.6116640","title":"Multivariate log-Gaussian Cox models of elementary shapes for recognizing natural scene categories","display_name":"Multivariate log-Gaussian Cox models of elementary shapes for recognizing natural scene categories","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2070997809","doi":"https://doi.org/10.1109/icip.2011.6116640","mag":"2070997809"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6116640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","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/A5103819941","display_name":"Huu-Giao Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I126425946","display_name":"Universit\u00e9 Europ\u00e9enne de Bretagne","ror":"https://ror.org/033c46s90","country_code":"FR","type":"education","lineage":["https://openalex.org/I126425946"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Huu-Giao Nguyen","raw_affiliation_strings":["Telecom Bretagne, LaboratoriesTICC, Institut Telecom, Brest, France","Universit\u00e9 europ\u00e9enne de Bretagne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telecom Bretagne, LaboratoriesTICC, Institut Telecom, Brest, France","institution_ids":["https://openalex.org/I205703379"]},{"raw_affiliation_string":"Universit\u00e9 europ\u00e9enne de Bretagne, France","institution_ids":["https://openalex.org/I126425946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075497720","display_name":"Ronan Fablet","orcid":"https://orcid.org/0000-0002-6462-423X"},"institutions":[{"id":"https://openalex.org/I126425946","display_name":"Universit\u00e9 Europ\u00e9enne de Bretagne","ror":"https://ror.org/033c46s90","country_code":"FR","type":"education","lineage":["https://openalex.org/I126425946"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ronan Fablet","raw_affiliation_strings":["Telecom Bretagne, LaboratoriesTICC, Institut Telecom, Brest, France","Universit\u00e9 europ\u00e9enne de Bretagne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telecom Bretagne, LaboratoriesTICC, Institut Telecom, Brest, France","institution_ids":["https://openalex.org/I205703379"]},{"raw_affiliation_string":"Universit\u00e9 europ\u00e9enne de Bretagne, France","institution_ids":["https://openalex.org/I126425946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107503162","display_name":"Jean\u2010Marc Boucher","orcid":null},"institutions":[{"id":"https://openalex.org/I126425946","display_name":"Universit\u00e9 Europ\u00e9enne de Bretagne","ror":"https://ror.org/033c46s90","country_code":"FR","type":"education","lineage":["https://openalex.org/I126425946"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Marc Boucher","raw_affiliation_strings":["Telecom Bretagne, LaboratoriesTICC, Institut Telecom, Brest, France","Universit\u00e9 europ\u00e9enne de Bretagne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telecom Bretagne, LaboratoriesTICC, Institut Telecom, Brest, France","institution_ids":["https://openalex.org/I205703379"]},{"raw_affiliation_string":"Universit\u00e9 europ\u00e9enne de Bretagne, France","institution_ids":["https://openalex.org/I126425946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2378,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4631665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"665","last_page":"668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9976000189781189,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9829999804496765,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6936474442481995},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6207356452941895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6011063456535339},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5471838116645813},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5043550729751587},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5003643035888672},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.48513874411582947},{"id":"https://openalex.org/keywords/shape-context","display_name":"Shape context","score":0.48300278186798096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4422064423561096},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4204694628715515},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4188621938228607},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.41522276401519775},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3808223605155945},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2993045747280121},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10659953951835632}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6936474442481995},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6207356452941895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6011063456535339},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5471838116645813},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5043550729751587},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5003643035888672},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.48513874411582947},{"id":"https://openalex.org/C2779662243","wikidata":"https://www.wikidata.org/wiki/Q970395","display_name":"Shape context","level":3,"score":0.48300278186798096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4422064423561096},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4204694628715515},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4188621938228607},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.41522276401519775},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3808223605155945},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2993045747280121},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10659953951835632},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2011.6116640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1507474162","https://openalex.org/W1539437305","https://openalex.org/W1978563198","https://openalex.org/W1981890344","https://openalex.org/W2057175746","https://openalex.org/W2107034620","https://openalex.org/W2126338813","https://openalex.org/W2144824356","https://openalex.org/W2157691228","https://openalex.org/W2162915993","https://openalex.org/W2165414070","https://openalex.org/W2317120701","https://openalex.org/W6630479155"],"related_works":["https://openalex.org/W2990323019","https://openalex.org/W2014494654","https://openalex.org/W3130349901","https://openalex.org/W1579833936","https://openalex.org/W1992295166","https://openalex.org/W2143508933","https://openalex.org/W2100099236","https://openalex.org/W1575585820","https://openalex.org/W2061719785","https://openalex.org/W2920969423"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,70],"address":[4],"invariant":[5,83],"scene":[6,90],"classification":[7],"from":[8,34],"images.":[9,29],"We":[10],"propose":[11],"a":[12,35,63,66,72],"novel":[13],"descriptor":[14,100],"based":[15],"on":[16],"the":[17,21,40,44,57,98],"statistical":[18,73],"characterization":[19],"of":[20,37,39,43,59,65],"spatial":[22,68],"patterns":[23],"formed":[24],"by":[25,51],"elementary":[26,60],"objects":[27,31,61],"in":[28],"Elementary":[30],"are":[32],"defined":[33],"tree":[36],"shapes":[38],"topology":[41],"map":[42],"image":[45,84],"and":[46],"each":[47],"object":[48],"is":[49,92],"characterized":[50],"shape":[52],"context":[53],"feature":[54],"vector.":[55],"Viewing":[56],"set":[58],"as":[62],"realization":[64],"random":[67],"process,":[69],"investigate":[71],"analysis":[74],"using":[75],"log-":[76],"Gaussian":[77],"Cox":[78],"model":[79],"to":[80,88,103],"define":[81],"an":[82],"descriptor.":[85],"An":[86],"application":[87],"natural":[89],"recognition":[91],"described.":[93],"Re-":[94],"ported":[95],"results":[96],"validate":[97],"proposed":[99],"with":[101],"respect":[102],"previous":[104],"work.":[105]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
