{"id":"https://openalex.org/W1844105648","doi":"https://doi.org/10.1109/icassp.2005.1415367","title":"3-D Texture Characterization Based on Wold Decomposition and Higher Order Statistics","display_name":"3-D Texture Characterization Based on Wold Decomposition and Higher Order Statistics","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W1844105648","doi":"https://doi.org/10.1109/icassp.2005.1415367","mag":"1844105648"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1415367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","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/A5105987399","display_name":"Youssef Stitou","orcid":null},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Y. Stitou","raw_affiliation_strings":["Equipe Signal et Image-UMR 5131. ENSERB, Universit\u00e9 Bordeaux 1, Talence, France"],"affiliations":[{"raw_affiliation_string":"Equipe Signal et Image-UMR 5131. ENSERB, Universit\u00e9 Bordeaux 1, Talence, France","institution_ids":["https://openalex.org/I15057530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019131112","display_name":"Flavius Turcu","orcid":null},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"F. Turcu","raw_affiliation_strings":["Equipe Signal et Image-UMR 5131. ENSERB, Universit\u00e9 Bordeaux 1, Talence, France"],"affiliations":[{"raw_affiliation_string":"Equipe Signal et Image-UMR 5131. ENSERB, Universit\u00e9 Bordeaux 1, Talence, France","institution_ids":["https://openalex.org/I15057530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036449296","display_name":"Mohamed Najim","orcid":"https://orcid.org/0000-0001-8016-9997"},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Najim","raw_affiliation_strings":["Equipe Signal et Image-UMR 5131. ENSERB, Universit\u00e9 Bordeaux 1, Talence, France"],"affiliations":[{"raw_affiliation_string":"Equipe Signal et Image-UMR 5131. ENSERB, Universit\u00e9 Bordeaux 1, Talence, France","institution_ids":["https://openalex.org/I15057530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5097556476","display_name":"L. Redouane","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L. Redouane","raw_affiliation_strings":["D\u00e9partement de Physique, L.E.S.S.I., Atlas, MA, USA"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement de Physique, L.E.S.S.I., Atlas, MA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5105987399"],"corresponding_institution_ids":["https://openalex.org/I15057530"],"apc_list":null,"apc_paid":null,"fwci":0.6229,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67536801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"165","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9944000244140625,"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/parametric-statistics","display_name":"Parametric statistics","score":0.6496270298957825},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5902225375175476},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5735452175140381},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5298678278923035},{"id":"https://openalex.org/keywords/spherical-harmonics","display_name":"Spherical harmonics","score":0.5171498656272888},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49141156673431396},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.49093392491340637},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.4701535701751709},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4513130486011505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3874768912792206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3665350675582886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36263608932495117},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22971504926681519},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.18045970797538757},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10458388924598694}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6496270298957825},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5902225375175476},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5735452175140381},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5298678278923035},{"id":"https://openalex.org/C3768446","wikidata":"https://www.wikidata.org/wiki/Q877100","display_name":"Spherical harmonics","level":2,"score":0.5171498656272888},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49141156673431396},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.49093392491340637},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4701535701751709},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4513130486011505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3874768912792206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3665350675582886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36263608932495117},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22971504926681519},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.18045970797538757},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10458388924598694},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2005.1415367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1592824646","https://openalex.org/W2089366864","https://openalex.org/W2093247252","https://openalex.org/W2128641197","https://openalex.org/W2140373512","https://openalex.org/W2147852382","https://openalex.org/W6635196537","https://openalex.org/W6679232909"],"related_works":["https://openalex.org/W2379042074","https://openalex.org/W2950227172","https://openalex.org/W4300097986","https://openalex.org/W259638169","https://openalex.org/W2286070595","https://openalex.org/W2371353070","https://openalex.org/W2357256365","https://openalex.org/W2122307093","https://openalex.org/W2799987248","https://openalex.org/W2240255144"],"abstract_inverted_index":{"This":[0,20],"paper":[1],"deals":[2],"with":[3],"the":[4,15,44,54,62,68,72],"parametric":[5,38],"3D":[6,73,86,104],"models":[7,39],"for":[8],"volumes":[9],"and":[10,26,47,61,79],"image":[11],"blocks":[12],"based":[13,107],"on":[14,30,108],"so-called":[16],"Wold":[17],"decomposition":[18,21],"theory.":[19],"raises":[22],"purely":[23,55],"indeterministic,":[24],"harmonic":[25],"evanescent":[27,63],"components.":[28],"Based":[29],"this":[31],"theory,":[32],"we":[33,66],"recently":[34],"proposed":[35],"new":[36,103],"explicit":[37],"able":[40],"to":[41,96],"describe":[42],"both":[43],"spectral":[45,105],"support":[46],"spatial":[48],"structure":[49],"of":[50,70],"each":[51],"component.":[52],"When":[53],"indeterministic":[56,81],"component":[57,64,78],"is":[58],"assumed":[59],"Gaussian":[60],"vanishes,":[65],"state":[67],"problem":[69,89],"separating":[71],"texture":[74],"into":[75],"a":[76,85,91,99,102],"deterministic":[77],"an":[80],"one":[82],"such":[83,98],"as":[84],"harmonics":[87],"retrieval":[88],"in":[90],"noisy":[92],"background.":[93],"We":[94],"propose":[95],"achieve":[97],"task":[100],"using":[101],"method":[106],"higher":[109],"order":[110],"statistics":[111],"(HOS).":[112]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}