{"id":"https://openalex.org/W2022664316","doi":"https://doi.org/10.1109/icip.2012.6467214","title":"Markov Random Field based image inpainting with context-aware label selection","display_name":"Markov Random Field based image inpainting with context-aware label selection","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2022664316","doi":"https://doi.org/10.1109/icip.2012.6467214","mag":"2022664316"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2012.6467214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6467214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on 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/A5064574988","display_name":"Tijana Ru\u017ei\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Tijana Ruzic","raw_affiliation_strings":["TELIN-IPI-IBBT, Ghent University, Ghent, Belgium","TELIN - IPI - IBBT, Ghent Univ., Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"TELIN-IPI-IBBT, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"TELIN - IPI - IBBT, Ghent Univ., Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031078128","display_name":"Aleksandra Pi\u017eurica","orcid":"https://orcid.org/0000-0002-9322-4999"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Aleksandra Pizurica","raw_affiliation_strings":["TELIN-IPI-IBBT, Ghent University, Ghent, Belgium","TELIN - IPI - IBBT, Ghent Univ., Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"TELIN-IPI-IBBT, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"TELIN - IPI - IBBT, Ghent Univ., Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071483672","display_name":"Wilfried Philips","orcid":"https://orcid.org/0000-0003-4456-4353"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Wilfried Philips","raw_affiliation_strings":["TELIN-IPI-IBBT, Ghent University, Ghent, Belgium","TELIN - IPI - IBBT, Ghent Univ., Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"TELIN-IPI-IBBT, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"TELIN - IPI - IBBT, Ghent Univ., Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064574988"],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":1.6662,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85498321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"33","issue":null,"first_page":"1733","last_page":"1736"},"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":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9897000193595886,"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/T11439","display_name":"Video Analysis and Summarization","score":0.988099992275238,"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/inpainting","display_name":"Inpainting","score":0.9445071220397949},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.8285411596298218},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7460060119628906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6991581320762634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6915671229362488},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.616849958896637},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6142023801803589},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.5252268314361572},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5229126214981079},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4771525263786316},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47133636474609375},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.46796733140945435},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4468265771865845},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44013482332229614},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37994712591171265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35853904485702515},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.23433271050453186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2203255593776703},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20834404230117798},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0628664493560791},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.05266806483268738}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9445071220397949},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.8285411596298218},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7460060119628906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6991581320762634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6915671229362488},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.616849958896637},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6142023801803589},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.5252268314361572},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5229126214981079},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4771525263786316},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47133636474609375},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.46796733140945435},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4468265771865845},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44013482332229614},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37994712591171265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35853904485702515},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.23433271050453186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2203255593776703},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20834404230117798},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0628664493560791},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.05266806483268738},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2012.6467214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6467214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:3028870","is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/3028870","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9781467325325","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1566135517","https://openalex.org/W1977398717","https://openalex.org/W1999360130","https://openalex.org/W2081351607","https://openalex.org/W2098387242","https://openalex.org/W2105038642","https://openalex.org/W2137560623","https://openalex.org/W2155163608","https://openalex.org/W2159693038","https://openalex.org/W2240838188","https://openalex.org/W2295936755","https://openalex.org/W6683453179"],"related_works":["https://openalex.org/W2161831747","https://openalex.org/W1974126222","https://openalex.org/W2180905035","https://openalex.org/W2396038226","https://openalex.org/W2169282664","https://openalex.org/W2151646056","https://openalex.org/W2143052184","https://openalex.org/W2166869208","https://openalex.org/W1552759590","https://openalex.org/W2118215373"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,52],"propose":[4],"a":[5,54],"novel":[6,55],"global":[7,91],"Markov":[8],"Random":[9],"Field":[10],"based":[11,22],"image":[12,31],"inpainting":[13,80],"method":[14],"with":[15,96],"context-aware":[16],"label":[17],"selection.":[18],"Context":[19],"is":[20,34,49,93],"determined":[21],"on":[23],"the":[24,44,69,97],"texture":[25],"and":[26,33,73],"color":[27],"features":[28],"in":[29],"fixed":[30],"regions":[32],"used":[35],"to":[36,42,61,77],"distinguish":[37],"areas":[38],"of":[39,71],"similar":[40],"content":[41],"which":[43,66],"search":[45],"for":[46],"candidate":[47],"patches":[48],"limited.":[50],"Furthermore,":[51],"introduce":[53],"optimization":[56,92],"approach,":[57],"as":[58],"an":[59],"alternative":[60],"priority":[62],"belief":[63],"propagation":[64],"framework,":[65],"further":[67],"reduces":[68],"number":[70],"candidates":[72],"performs":[74],"efficient":[75],"inference":[76,99],"obtain":[78],"final":[79],"result.":[81],"Experimental":[82],"results":[83],"show":[84],"improvement":[85],"over":[86],"related":[87],"state-of-the-art":[88],"methods.":[89],"Moreover,":[90],"significantly":[94],"accelerated":[95],"proposed":[98],"approach.":[100]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
