{"id":"https://openalex.org/W1983506281","doi":"https://doi.org/10.1145/1924559.1924613","title":"Nonparametric Markov random field order estimation and its application in texture synthesis","display_name":"Nonparametric Markov random field order estimation and its application in texture synthesis","publication_year":2010,"publication_date":"2010-12-12","ids":{"openalex":"https://openalex.org/W1983506281","doi":"https://doi.org/10.1145/1924559.1924613","mag":"1983506281"},"language":"en","primary_location":{"id":"doi:10.1145/1924559.1924613","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1924559.1924613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image 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/A5109671208","display_name":"Arnab Sinha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139030","display_name":"Samsung (India)","ror":"https://ror.org/04cpx2569","country_code":"IN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210139030"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Arnab Sinha","raw_affiliation_strings":["Samsung India Software Centre, Noida, U.P., India","Samsung India Software Centre, Noida, U.P., India#TAB#"],"affiliations":[{"raw_affiliation_string":"Samsung India Software Centre, Noida, U.P., India","institution_ids":["https://openalex.org/I4210139030"]},{"raw_affiliation_string":"Samsung India Software Centre, Noida, U.P., India#TAB#","institution_ids":["https://openalex.org/I4210139030"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061469583","display_name":"Sumana Gupta","orcid":"https://orcid.org/0000-0003-1897-1801"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumana Gupta","raw_affiliation_strings":["Indian Institute of Technology, Kanpur, U.P., India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kanpur, U.P., India","institution_ids":["https://openalex.org/I94234084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109671208"],"corresponding_institution_ids":["https://openalex.org/I4210139030"],"apc_list":null,"apc_paid":null,"fwci":0.3187,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56386462,"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":"405","last_page":"411"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.979200005531311,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.979200005531311,"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/T11309","display_name":"Music and Audio Processing","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9560999870300293,"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/markov-random-field","display_name":"Markov random field","score":0.79822838306427},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.666604220867157},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.6224272847175598},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6161870360374451},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5754020810127258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5680407285690308},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.5113489031791687},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.505706787109375},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46644920110702515},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4645279347896576},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4536532461643219},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4471641778945923},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4271029233932495},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.425383061170578},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4078803062438965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40541815757751465},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.3290429711341858},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32278069853782654},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2377181351184845},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2233562171459198},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16826990246772766},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.16024333238601685},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.10062450170516968}],"concepts":[{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.79822838306427},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.666604220867157},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.6224272847175598},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6161870360374451},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5754020810127258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5680407285690308},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.5113489031791687},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.505706787109375},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46644920110702515},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4645279347896576},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4536532461643219},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4471641778945923},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4271029233932495},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.425383061170578},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4078803062438965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40541815757751465},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.3290429711341858},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32278069853782654},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2377181351184845},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2233562171459198},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16826990246772766},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.16024333238601685},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.10062450170516968},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1924559.1924613","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1924559.1924613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing","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":17,"referenced_works":["https://openalex.org/W204885769","https://openalex.org/W1554544485","https://openalex.org/W2031586513","https://openalex.org/W2068623560","https://openalex.org/W2077786999","https://openalex.org/W2083518538","https://openalex.org/W2099835437","https://openalex.org/W2106107517","https://openalex.org/W2110232401","https://openalex.org/W2115404340","https://openalex.org/W2125771762","https://openalex.org/W2163288162","https://openalex.org/W2232702494","https://openalex.org/W2320994046","https://openalex.org/W2764126110","https://openalex.org/W4255266980","https://openalex.org/W7062157157"],"related_works":["https://openalex.org/W2163305100","https://openalex.org/W2387014078","https://openalex.org/W2183887509","https://openalex.org/W2373481280","https://openalex.org/W1965243584","https://openalex.org/W4233015508","https://openalex.org/W987019958","https://openalex.org/W2972612618","https://openalex.org/W2030382593","https://openalex.org/W1983122994"],"abstract_inverted_index":{"In":[0,72],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,29,99],"new":[6],"theory":[7],"for":[8,28,67,92],"the":[9,44,48,54,63,73,76,108,115,118,123],"order":[10,66,88],"estimation":[11,89],"of":[12,32,38,79,101,117],"nonparametric":[13],"Markov":[14],"random":[15],"field":[16],"(N-MRF)":[17],"model.":[18],"Texture":[19],"synthesis":[20,40],"based":[21],"on":[22],"N-MRF":[23,93],"model":[24,45,55,65,87,94],"performs":[25],"well":[26],"visually":[27],"wide":[30],"range":[31],"natural":[33],"textures,":[34,105],"[9].":[35],"The":[36,85],"result":[37],"texture":[39,70],"is":[41,59,83],"dependent":[42],"upon":[43],"order,":[46],"and":[47,103],"computational":[49],"complexity":[50],"increases":[51],"parabolicaly":[52],"with":[53,98],"order.":[56],"Therefore,":[57],"it":[58],"required":[60],"to":[61],"estimate":[62],"minimum":[64],"computationally":[68],"efficient":[69],"synthesis.":[71],"proposed":[74,86,119],"methodology,":[75],"basic":[77],"definition":[78],"local":[80],"conditional":[81],"density":[82],"redefined.":[84],"(MOE)":[90],"approach":[91,120],"has":[95],"been":[96],"tested":[97],"number":[100],"stochastic":[102],"near-regular":[104],"collected":[106],"from":[107],"Brodatz's":[109],"standard":[110],"database":[111],"[3].":[112],"Results":[113],"show":[114],"efficacy":[116],"in":[121],"solving":[122],"MOE":[124],"problem":[125],"efficiently.":[126]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}