{"id":"https://openalex.org/W1971021855","doi":"https://doi.org/10.1145/1477862.1477909","title":"Fast and robust parameter estimation method for patch-based texture synthesis","display_name":"Fast and robust parameter estimation method for patch-based texture synthesis","publication_year":2008,"publication_date":"2008-12-08","ids":{"openalex":"https://openalex.org/W1971021855","doi":"https://doi.org/10.1145/1477862.1477909","mag":"1971021855"},"language":"en","primary_location":{"id":"doi:10.1145/1477862.1477909","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1477862.1477909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The 7th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry","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/A5003950356","display_name":"Jakrapong Narkdej","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Jakrapong Narkdej","raw_affiliation_strings":["Chulalongkorn University"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045710281","display_name":"Pizzanu Kanongchaiyos","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pizzanu Kanongchaiyos","raw_affiliation_strings":["Chulalongkorn University"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003950356"],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":0.3512,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61711202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"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":0.9944999814033508,"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":0.9944999814033508,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.992900013923645,"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":0.986299991607666,"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/texture-synthesis","display_name":"Texture synthesis","score":0.7533503770828247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6541451215744019},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.588646650314331},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5878061056137085},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5399333238601685},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.5375086665153503},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5225874185562134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.507571816444397},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4413143992424011},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.418761670589447},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3531832993030548},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34827661514282227},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.329372763633728}],"concepts":[{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.7533503770828247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6541451215744019},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.588646650314331},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5878061056137085},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5399333238601685},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5375086665153503},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5225874185562134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.507571816444397},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4413143992424011},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.418761670589447},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3531832993030548},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34827661514282227},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.329372763633728},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1477862.1477909","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1477862.1477909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The 7th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry","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":5,"referenced_works":["https://openalex.org/W1878940107","https://openalex.org/W1999360130","https://openalex.org/W1999478155","https://openalex.org/W2152238516","https://openalex.org/W3102831162"],"related_works":["https://openalex.org/W2040172205","https://openalex.org/W2365641137","https://openalex.org/W1975273303","https://openalex.org/W4360784979","https://openalex.org/W3017192027","https://openalex.org/W4301374033","https://openalex.org/W4298422051","https://openalex.org/W2183887509","https://openalex.org/W2204605857","https://openalex.org/W2044270176"],"abstract_inverted_index":{"Patch-based":[0],"texture":[1,6,12,35,47],"synthesis":[2],"method":[3,55,129],"uses":[4],"MRF":[5],"model":[7],"to":[8,37,71,91,127],"synthesize":[9],"a":[10,14,52,82],"bigger":[11],"from":[13,75],"smaller":[15],"patch":[16,22],"sample":[17],"containing":[18],"two":[19,63,101],"user-defined":[20],"parameters,":[21,33],"size":[23,105],"and":[24,106,130],"boundary":[25],"zone.":[26],"To":[27],"obtain":[28],"optimal":[29,59],"values":[30],"for":[31,44,56,122],"the":[32,34,58,62,76,88,94,100,109,124],"has":[36],"be":[38],"analyzed,":[39],"which":[40],"costs":[41],"too":[42],"expensive":[43],"real-time":[45],"large":[46],"synthesis.":[48],"This":[49],"paper":[50],"introduces":[51],"more":[53],"efficient":[54],"finding":[57],"value":[60],"of":[61,84,108,136],"parameters.":[64],"Firstly,":[65],"we":[66,98],"use":[67],"graph-based":[68],"image":[69],"segmentation":[70],"extract":[72],"feature":[73],"segments":[74,86],"input":[77],"sample.":[78],"We":[79],"then":[80],"choose":[81],"set":[83],"major":[85],"preserving":[87],"main":[89],"features":[90],"appear":[92],"in":[93],"final":[95],"result.":[96],"Finally,":[97],"calculate":[99],"parameters":[102,125],"based":[103],"on":[104],"repetition":[107],"segments.":[110],"The":[111],"experimental":[112],"results":[113],"how":[114],"that":[115],"our":[116],"technique":[117],"can":[118,131],"reduce":[119],"computational":[120],"time":[121],"determining":[123],"compared":[126],"previous":[128],"work":[132],"with":[133],"several":[134],"type":[135],"textures.":[137]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}