{"id":"https://openalex.org/W2145829110","doi":"https://doi.org/10.1109/ipdps.2003.1213425","title":"High performance missing data detection and interpolation for video compression and restoration applications","display_name":"High performance missing data detection and interpolation for video compression and restoration applications","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W2145829110","doi":"https://doi.org/10.1109/ipdps.2003.1213425","mag":"2145829110"},"language":"en","primary_location":{"id":"doi:10.1109/ipdps.2003.1213425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdps.2003.1213425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings International Parallel and Distributed Processing Symposium","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/A5085527072","display_name":"Michele Ceccarelli","orcid":"https://orcid.org/0000-0002-4702-6617"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"M. Ceccarelli","raw_affiliation_strings":["University of Sannio, Benevento, Italy","University of Sannio / Benevento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Sannio, Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]},{"raw_affiliation_string":"University of Sannio / Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008755809","display_name":"Giuliano Laccetti","orcid":"https://orcid.org/0000-0002-0057-2573"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Laccetti","raw_affiliation_strings":["DMA, Naples, Italy","DMA"],"affiliations":[{"raw_affiliation_string":"DMA, Naples, Italy","institution_ids":[]},{"raw_affiliation_string":"DMA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091756907","display_name":"Alfredo Petrosino","orcid":"https://orcid.org/0000-0002-8736-1997"},"institutions":[{"id":"https://openalex.org/I4210137435","display_name":"Interactions, Corpus, Apprentissages, Repr\u00e9sentations","ror":"https://ror.org/04mn0nr69","country_code":"FR","type":"facility","lineage":["https://openalex.org/I113428412","https://openalex.org/I1294671590","https://openalex.org/I188626449","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210137435"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Petrosino","raw_affiliation_strings":["ICAR-CNR, Naples, Italy","ICAR, CNR"],"affiliations":[{"raw_affiliation_string":"ICAR-CNR, Naples, Italy","institution_ids":[]},{"raw_affiliation_string":"ICAR, CNR","institution_ids":["https://openalex.org/I4210137435"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085527072"],"corresponding_institution_ids":["https://openalex.org/I16337185"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.17712795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"100","issue":null,"first_page":"5","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","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/T10688","display_name":"Image and Signal Denoising Methods","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":0.7947831153869629},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6488888263702393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6272850036621094},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6255040168762207},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6179697513580322},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6142762899398804},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.558883786201477},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5204220414161682},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.511776864528656},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.47903504967689514},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.472308874130249},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47103220224380493},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.41418272256851196},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3381349742412567},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26026493310928345},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1181054413318634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7947831153869629},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6488888263702393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6272850036621094},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6255040168762207},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6179697513580322},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6142762899398804},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.558883786201477},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5204220414161682},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.511776864528656},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.47903504967689514},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.472308874130249},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47103220224380493},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.41418272256851196},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3381349742412567},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26026493310928345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1181054413318634},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipdps.2003.1213425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdps.2003.1213425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings International Parallel and Distributed Processing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W59885310","https://openalex.org/W1524490902","https://openalex.org/W1580684925","https://openalex.org/W1895741881","https://openalex.org/W2019993673","https://openalex.org/W2028223481","https://openalex.org/W2098204186","https://openalex.org/W2099599934","https://openalex.org/W2109898560","https://openalex.org/W2111371981","https://openalex.org/W2127447014","https://openalex.org/W2130657708","https://openalex.org/W2134240155","https://openalex.org/W2139926101","https://openalex.org/W2151315742","https://openalex.org/W2152807389","https://openalex.org/W2171282342","https://openalex.org/W2187223461","https://openalex.org/W2295936755","https://openalex.org/W3003662786","https://openalex.org/W4242815735"],"related_works":["https://openalex.org/W1579157894","https://openalex.org/W1530267862","https://openalex.org/W2153529351","https://openalex.org/W2016848112","https://openalex.org/W1967654336","https://openalex.org/W1541334882","https://openalex.org/W2157391823","https://openalex.org/W2040149295","https://openalex.org/W2140285056","https://openalex.org/W2169116484"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,28,58],"explore":[4],"the":[5,21,31,49,66,79,111,116],"use":[6,32,67],"of":[7,23,33,51,68,71,99,110],"motion":[8,14,88,103],"estimation":[9],"methods":[10,35,39],"to":[11,44,83],"restore":[12],"noisy":[13],"pictures":[15],"coming":[16],"from":[17],"degraded":[18,55],"film":[19],"within":[20],"framework":[22],"high-performance":[24],"computing":[25],"environments.":[26],"Specifically,":[27],"investigate":[29],"how":[30,60],"block-matching":[34],"can":[36,76],"outperform":[37],"gradient-based":[38],"(which":[40],"are":[41,113],"more":[42],"sensible":[43],"little":[45],"movements)":[46],"also":[47],"in":[48,54,87,105],"case":[50],"blotch":[52],"detection":[53],"film.":[56],"Also,":[57],"show":[59],"a":[61,69],"proposed":[62],"method":[63,112],"characterized":[64],"by":[65],"set":[70],"features":[72],"together":[73],"with":[74,123],"multiresolution":[75],"be":[77],"at":[78],"same":[80],"time":[81],"robust":[82],"noise":[84,100],"and":[85,101,115,121],"effective":[86],"compensated":[89],"filtering,":[90],"mainly":[91],"concerning":[92],"films":[93],"that":[94],"contain":[95],"both":[96],"large":[97],"amounts":[98],"fast/large":[102],"objects":[104],"their":[106],"frames.":[107],"The":[108],"peculiarities":[109],"discussed":[114],"model":[117],"performance":[118],"is":[119],"assessed":[120],"compared":[122],"examples.":[124]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
