{"id":"https://openalex.org/W2092291398","doi":"https://doi.org/10.1109/icassp.2014.6853783","title":"Adaptive 2D-AR framework for texture completion","display_name":"Adaptive 2D-AR framework for texture completion","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2092291398","doi":"https://doi.org/10.1109/icassp.2014.6853783","mag":"2092291398"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6853783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5073743402","display_name":"Fabien Racap\u00e9","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"F. Racape","raw_affiliation_strings":["Image Processing Department, Heinrich Hertz Institute (HHI), Berlin, Germany","Image Process. Dept., Heinrich Hertz Inst. (HHI), Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Image Processing Department, Heinrich Hertz Institute (HHI), Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]},{"raw_affiliation_string":"Image Process. Dept., Heinrich Hertz Inst. (HHI), Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031933167","display_name":"Martin K\u00f6ppel","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Koppel","raw_affiliation_strings":["Image Processing Department, Heinrich Hertz Institute (HHI), Berlin, Germany","Image Process. Dept., Heinrich Hertz Inst. (HHI), Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Image Processing Department, Heinrich Hertz Institute (HHI), Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]},{"raw_affiliation_string":"Image Process. Dept., Heinrich Hertz Inst. (HHI), Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088655614","display_name":"Dimitar Doshkov","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"D. Doshkov","raw_affiliation_strings":["Image Processing Department, Heinrich Hertz Institute (HHI), Berlin, Germany","Image Process. Dept., Heinrich Hertz Inst. (HHI), Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Image Processing Department, Heinrich Hertz Institute (HHI), Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]},{"raw_affiliation_string":"Image Process. Dept., Heinrich Hertz Inst. (HHI), Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031166879","display_name":"Patrick Ndjiki-Nya","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"P. Ndjiki-Nya","raw_affiliation_strings":["Image Processing Department, Heinrich Hertz Institute (HHI), Berlin, Germany","Image Process. Dept., Heinrich Hertz Inst. (HHI), Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Image Processing Department, Heinrich Hertz Institute (HHI), Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]},{"raw_affiliation_string":"Image Process. Dept., Heinrich Hertz Inst. (HHI), Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073743402"],"corresponding_institution_ids":["https://openalex.org/I2800274787"],"apc_list":null,"apc_paid":null,"fwci":0.2471,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.615605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1180","last_page":"1184"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994999766349792,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991000294685364,"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/computer-science","display_name":"Computer science","score":0.7583889961242676},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.5779690146446228},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5524661540985107},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5369434356689453},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5094998478889465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5040332674980164},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.4949619174003601},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4913889467716217},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.487323135137558},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4026033580303192},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36878281831741333},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3434131145477295},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32725536823272705},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31425583362579346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11350998282432556}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7583889961242676},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.5779690146446228},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5524661540985107},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5369434356689453},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5094998478889465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5040332674980164},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.4949619174003601},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4913889467716217},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.487323135137558},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4026033580303192},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36878281831741333},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3434131145477295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32725536823272705},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31425583362579346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11350998282432556},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2014.6853783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.723.7649","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.723.7649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://iphome.hhi.de/koeppel/assets/PDF/Adaptive%202D-AR%20Framework%20for%20Texture%20Completion.pdf","raw_type":"text"},{"id":"pmh:oai:publica.fraunhofer.de:publica/387425","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/387425","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1485415000","https://openalex.org/W1490632837","https://openalex.org/W1554663460","https://openalex.org/W1589992428","https://openalex.org/W2000123870","https://openalex.org/W2005423095","https://openalex.org/W2041412547","https://openalex.org/W2062119563","https://openalex.org/W2068623560","https://openalex.org/W2070604790","https://openalex.org/W2077786999","https://openalex.org/W2093212899","https://openalex.org/W2100415658","https://openalex.org/W2105038642","https://openalex.org/W2127006916","https://openalex.org/W2127541232","https://openalex.org/W2134664054","https://openalex.org/W2169575425","https://openalex.org/W2232702494","https://openalex.org/W2295936755","https://openalex.org/W2493406958","https://openalex.org/W2751318774","https://openalex.org/W2912155302","https://openalex.org/W2997095758","https://openalex.org/W3144890709","https://openalex.org/W4206070770","https://openalex.org/W4388297464","https://openalex.org/W6629018540"],"related_works":["https://openalex.org/W2183887509","https://openalex.org/W2063270354","https://openalex.org/W2743128629","https://openalex.org/W1983661653","https://openalex.org/W2147616632","https://openalex.org/W2972612618","https://openalex.org/W2355987747","https://openalex.org/W2905174049","https://openalex.org/W4200432310","https://openalex.org/W2156235915"],"abstract_inverted_index":{"Texture":[0],"extrapolation":[1],"techniques":[2],"enable":[3],"to":[4,51,65,94,105],"fill":[5],"large":[6],"holes":[7],"of":[8,28],"missing":[9],"information.":[10],"Many":[11],"applications":[12],"can":[13],"be":[14],"targeted":[15,58],"such":[16],"as":[17],"image":[18],"and":[19,47,68,96,122],"video":[20],"coding,":[21],"channel":[22],"block":[23],"losses,":[24],"object":[25],"removal,":[26],"filling":[27],"3D":[29],"disocclusions":[30],"etc.":[31],"For":[32],"more":[33],"than":[34],"two":[35],"decades,":[36],"many":[37],"approaches":[38],"have":[39],"been":[40],"developed,":[41],"even":[42],"though":[43],"each":[44],"contains":[45],"pros":[46],"cons":[48],"which":[49,124],"force":[50],"choose":[52],"the":[53,57,76,83,98,107,114],"best":[54],"compromise":[55],"for":[56,118,129],"application.":[59],"In":[60,80],"this":[61,81],"paper,":[62],"we":[63],"propose":[64],"continue":[66],"exploring":[67],"improving":[69],"a":[70,101,126],"popular":[71],"parametric":[72],"completion":[73],"method":[74],"using":[75],"autoregressive":[77],"(AR)":[78],"model.":[79,99],"framework,":[82],"training":[84],"area":[85],"is":[86,116],"automatically":[87],"optimized.":[88],"A":[89,111],"consistency":[90],"criterion":[91],"also":[92],"enables":[93,104],"assess":[95],"regularize":[97],"Moreover,":[100],"post-processing":[102],"step":[103],"remove":[106],"remaining":[108],"seam":[109],"artefacts.":[110],"comparison":[112],"with":[113],"state-of-the-art":[115],"provided":[117],"both":[119],"subjective":[120],"quality":[121],"complexity":[123],"remains":[125],"major":[127],"constraint":[128],"texture":[130],"completion.":[131]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
