{"id":"https://openalex.org/W2042371054","doi":"https://doi.org/10.1145/258734.258882","title":"Multiresolution sampling procedure for analysis and synthesis of texture images","display_name":"Multiresolution sampling procedure for analysis and synthesis of texture images","publication_year":1997,"publication_date":"1997-01-01","ids":{"openalex":"https://openalex.org/W2042371054","doi":"https://doi.org/10.1145/258734.258882","mag":"2042371054"},"language":"en","primary_location":{"id":"doi:10.1145/258734.258882","doi":"https://doi.org/10.1145/258734.258882","is_oa":true,"landing_page_url":"https://doi.org/10.1145/258734.258882","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/258734.258882","source":{"id":"https://openalex.org/S7407086393","display_name":"ACM SIGGRAPH Conference (SIGGRAPH)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th annual conference on Computer graphics and interactive techniques - SIGGRAPH '97","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/258734.258882","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111883322","display_name":"Jeremy S. De Bonet","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeremy S. De Bonet","raw_affiliation_strings":["Learning & Vision Group, Artificial Intelligence Laboratory, Massachusetts Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Learning & Vision Group, Artificial Intelligence Laboratory, Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5111883322"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":6.2911,"has_fulltext":true,"cited_by_count":572,"citation_normalized_percentile":{"value":0.96683417,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"361","last_page":"368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.46219998598098755,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.46219998598098755,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.45579999685287476,"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":0.01810000091791153,"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":0.8510000109672546},{"id":"https://openalex.org/keywords/texture-analysis","display_name":"texture analysis","score":0.8610000014305115},{"id":"https://openalex.org/keywords/multiresolution-analysis","display_name":"multiresolution analysis","score":0.8410000205039978},{"id":"https://openalex.org/keywords/density-estimation","display_name":"density estimation","score":0.9110000133514404},{"id":"https://openalex.org/keywords/spatial-frequency-bands","display_name":"spatial frequency bands","score":0.9729999899864197},{"id":"https://openalex.org/keywords/image-generation","display_name":"image generation","score":0.460999995470047}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6998376846313477},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.6115906238555908},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.5833674669265747},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5125091075897217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47454914450645447},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4697447419166565},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.431166410446167},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4310508370399475},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32719409465789795},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26582539081573486},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/258734.258882","doi":"https://doi.org/10.1145/258734.258882","is_oa":true,"landing_page_url":"https://doi.org/10.1145/258734.258882","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/258734.258882","source":{"id":"https://openalex.org/S7407086393","display_name":"ACM SIGGRAPH Conference (SIGGRAPH)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th annual conference on Computer graphics and interactive techniques - SIGGRAPH '97","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.40.390","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.40.390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cdserver.icemt.iastate.edu/cd/s97cp/contents/papers/debonet/text_syn.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.44.1214","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.44.1214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ai.mit.edu/people/viola/research/publications/jsd/DeBonet-SIGGRAPH97-TextureSynthesis.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.91.5875","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.91.5875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.debonet.com/Research/Publications/1997/DeBonet-RethinkingAI-Synthesis.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/258734.258882","doi":"https://doi.org/10.1145/258734.258882","is_oa":true,"landing_page_url":"https://doi.org/10.1145/258734.258882","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/258734.258882","source":{"id":"https://openalex.org/S7407086393","display_name":"ACM SIGGRAPH Conference (SIGGRAPH)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th annual conference on Computer graphics and interactive techniques - SIGGRAPH '97","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2042371054.pdf","grobid_xml":"https://content.openalex.org/works/W2042371054.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W164346725","https://openalex.org/W179221956","https://openalex.org/W1490632837","https://openalex.org/W1983636597","https://openalex.org/W1986079097","https://openalex.org/W2012212993","https://openalex.org/W2019299491","https://openalex.org/W2041432922","https://openalex.org/W2055072931","https://openalex.org/W2078146907","https://openalex.org/W2078790577","https://openalex.org/W2103504761","https://openalex.org/W2113834765","https://openalex.org/W2125027853","https://openalex.org/W2150920547","https://openalex.org/W2162703509","https://openalex.org/W2998496342","https://openalex.org/W2998752808","https://openalex.org/W4237279526","https://openalex.org/W4243662042","https://openalex.org/W4321262933"],"related_works":["https://openalex.org/W7096169431","https://openalex.org/W2123435361","https://openalex.org/W2159801309","https://openalex.org/W2129863721","https://openalex.org/W2489829704","https://openalex.org/W2101699858","https://openalex.org/W1490632837","https://openalex.org/W2075864681","https://openalex.org/W49703711","https://openalex.org/W105230032"],"abstract_inverted_index":{"This":[0],"paper":[1],"outlines":[2],"a":[3,27,51],"technique":[4],"for":[5],"treating":[6],"input":[7,31,64,88],"texture":[8,32,42,53],"images":[9],"as":[10],"probability":[11],"density":[12],"estimators":[13],"from":[14,62],"which":[15],"new":[16,52],"textures,":[17],"with":[18,79],"similar":[19,69],"appearance":[20],"and":[21],"structural":[22],"properties,":[23],"can":[24],"be":[25],"sampled.In":[26],"two-phase":[28],"process,":[29],"the":[30,38,48,63,68,85],"is":[33,54],"first":[34],"analyzed":[35],"by":[36,56],"measuring":[37],"joint":[39,70],"occurrence":[40,71],"of":[41,72,87],"discrimination":[43],"features":[44,73],"at":[45,74],"multiple":[46],"resolutions.In":[47],"second":[49],"phase,":[50],"synthesized":[55,78],"sampling":[57],"successive":[58],"spatial":[59,76],"frequency":[60],"bands":[61],"texture,":[65],"conditioned":[66],"on":[67],"lower":[75],"frequencies.Textures":[77],"this":[80],"method":[81],"more":[82],"successfully":[83],"capture":[84],"characteristics":[86],"textures":[89],"than":[90],"do":[91],"previous":[92],"techniques.":[93]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":22},{"year":2013,"cited_by_count":21},{"year":2012,"cited_by_count":13}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2016-06-24T00:00:00"}
