{"id":"https://openalex.org/W2790460712","doi":"https://doi.org/10.1109/access.2018.2803733","title":"Novel Pixel Recovery Method Based on Motion Vector Disparity and Compensation Difference","display_name":"Novel Pixel Recovery Method Based on Motion Vector Disparity and Compensation Difference","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2790460712","doi":"https://doi.org/10.1109/access.2018.2803733","mag":"2790460712"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2803733","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2803733","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2803733","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ting-Lan Lin","orcid":"https://orcid.org/0000-0002-6901-6065"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ting-Lan Lin","raw_affiliation_strings":["Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-6901-6065","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030469841","display_name":"Xutao Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Xutao Wei","raw_affiliation_strings":["Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104096684","display_name":"Xubo Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Xubo Wei","raw_affiliation_strings":["Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087750500","display_name":"Tzu-Hao Su","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzu-Hao Su","raw_affiliation_strings":["Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024843974","display_name":"Yu-Liang Chiang","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Liang Chiang","raw_affiliation_strings":["Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.106,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.41918175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"44362","last_page":"44375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T11165","display_name":"Image and Video Quality Assessment","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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9993000030517578,"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/motion-vector","display_name":"Motion vector","score":0.7510454058647156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7477055788040161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7231571078300476},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.7162407040596008},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.6537987589836121},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6443197131156921},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.6377226710319519},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6161559224128723},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5861455798149109},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.5795024037361145},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5662255883216858},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5411822199821472},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5088639259338379},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.4973750412464142},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4398314654827118},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3834261894226074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24399691820144653},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19954201579093933},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.19574660062789917},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.19407621026039124}],"concepts":[{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.7510454058647156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7477055788040161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7231571078300476},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.7162407040596008},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.6537987589836121},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6443197131156921},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.6377226710319519},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6161559224128723},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5861455798149109},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.5795024037361145},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5662255883216858},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5411822199821472},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5088639259338379},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.4973750412464142},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4398314654827118},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3834261894226074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24399691820144653},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19954201579093933},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.19574660062789917},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.19407621026039124},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2803733","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2803733","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b75d4b9a2e424bd0b309e15cf8fb8a2a","is_oa":true,"landing_page_url":"https://doaj.org/article/b75d4b9a2e424bd0b309e15cf8fb8a2a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 44362-44375 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2803733","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2803733","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1812597314","display_name":null,"funder_award_id":"106-2221-E-033-010","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G1834885682","display_name":null,"funder_award_id":"105-2622-E-033-009-CC3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G4558458685","display_name":null,"funder_award_id":"MOST 105-2221-E-033-020","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2026508056","https://openalex.org/W2078427662","https://openalex.org/W2079839023","https://openalex.org/W2095683954","https://openalex.org/W2103956786","https://openalex.org/W2131093411","https://openalex.org/W2131795473","https://openalex.org/W2133665775","https://openalex.org/W2139757538","https://openalex.org/W2140199336","https://openalex.org/W2143633984","https://openalex.org/W2146176490","https://openalex.org/W2147342544","https://openalex.org/W2152146613","https://openalex.org/W2157877242","https://openalex.org/W2161459903","https://openalex.org/W2161923730","https://openalex.org/W2165222134","https://openalex.org/W2166764400","https://openalex.org/W2167555868","https://openalex.org/W2492281453","https://openalex.org/W2545685597","https://openalex.org/W2545754276","https://openalex.org/W2585518414","https://openalex.org/W2737353596","https://openalex.org/W6680987139","https://openalex.org/W6729537912"],"related_works":["https://openalex.org/W4285350705","https://openalex.org/W2049273678","https://openalex.org/W2518504864","https://openalex.org/W2143589929","https://openalex.org/W1969136679","https://openalex.org/W1579940903","https://openalex.org/W2189223443","https://openalex.org/W839483973","https://openalex.org/W2546764266","https://openalex.org/W2532726200"],"abstract_inverted_index":{"As":[0],"compressed":[1],"videos":[2],"are":[3,92,102],"transmitted":[4],"in":[5,88,168,175,185,197,211,218],"the":[6,25,29,35,40,56,60,63,73,78,81,85,89,114,117,122,140,152,156,160,182,193],"communication":[7],"networks,":[8],"video":[9,149,176,187],"packet":[10],"loss":[11],"inevitably":[12],"occurs.":[13],"This":[14],"problem":[15],"can":[16,163],"be":[17,164],"solved":[18],"by":[19,58,128],"error":[20],"concealment":[21],"method.":[22],"We":[23,53],"used":[24],"motion":[26,37,51,64,74],"vector":[27,38,65,75],"of":[28,62,143,155],"available":[30,69],"neighboring":[31,68,90],"blocks":[32,70,91],"to":[33,46,71,108,130,166],"estimate":[34],"lost":[36,41],"for":[39,94,97],"block.":[42],"These":[43,99],"estimates":[44],"propagate":[45],"predict":[47],"all":[48],"other":[49,148],"missing":[50],"vectors.":[52],"further":[54],"improved":[55],"work":[57,158,162,202],"using":[59],"idea":[61],"disparities":[66],"between":[67,80],"modify":[72],"weightings.":[76,110],"Furthermore,":[77],"differences":[79],"compensated":[82],"pixels":[83,87],"and":[84,134,195,213,220,228],"decoded":[86],"computed":[93],"another":[95],"weighting":[96],"improvement.":[98],"two":[100],"novelties":[101],"combined":[103],"as":[104],"a":[105,207],"final":[106],"indicator":[107],"prediction":[109],"By":[111],"comparison":[112],"against":[113,159],"state-of-the-art":[115,161,209],"method,":[116],"four":[118],"proposed":[119,157,201],"algorithms":[120],"increase":[121],"average":[123,153],"peak":[124],"signal-to-noise":[125],"ratio":[126],"(PSNR)":[127],"up":[129,165],"1.86,":[131],"1.93,":[132],"1.94,":[133],"2.04":[135],"dB":[136],"on":[137],"average,":[138],"showing":[139],"gradual":[141],"improvement":[142],"our":[144],"design":[145],"systems.":[146],"For":[147],"quality":[150,177],"measurements,":[151],"gains":[154],"0.0575":[167],"structural":[169],"similarity":[170],"index":[171],"metric":[172,178],"(SSIM),":[173],"-0.0278":[174],"(VQM)":[179],"(the":[180,191],"lower":[181,192,233],"better),":[183,194],"-0.0008":[184],"motion-based":[186],"integrity":[188],"evaluation":[189],"(MOVIE)":[190],"2.77":[196],"subjective":[198,229],"evaluation.":[199],"The":[200],"performs":[203,216],"slightly":[204],"worse":[205],"than":[206],"pixel-based":[208],"method":[210],"PSNR":[212],"SSIM":[214],"but":[215],"better":[217,224],"VQM":[219],"MOVIE":[221],"(both":[222],"correlate":[223],"with":[225,231],"human":[226],"perception)":[227],"experiments,":[230],"much":[232],"computational":[234],"complexity.":[235]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
