{"id":"https://openalex.org/W4327521235","doi":"https://doi.org/10.1145/3573428.3573699","title":"Low-Rank Tensor Completion with Total-Variation-Regularized Transformed Tensor Schatten-p Norm for Video Inpainting","display_name":"Low-Rank Tensor Completion with Total-Variation-Regularized Transformed Tensor Schatten-p Norm for Video Inpainting","publication_year":2022,"publication_date":"2022-10-21","ids":{"openalex":"https://openalex.org/W4327521235","doi":"https://doi.org/10.1145/3573428.3573699"},"language":"en","primary_location":{"id":"doi:10.1145/3573428.3573699","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","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/A5055108857","display_name":"Jiahui Liu","orcid":"https://orcid.org/0000-0001-6089-2758"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiahui Liu","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China"],"raw_orcid":"https://orcid.org/0000-0001-6089-2758","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070300394","display_name":"Jialue Tian","orcid":"https://orcid.org/0000-0003-2600-1434"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialue Tian","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China"],"raw_orcid":"https://orcid.org/0000-0003-2600-1434","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055108857"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":0.1661,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46206353,"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":"1542","last_page":"1547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9943000078201294,"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":0.8509817123413086},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6133333444595337},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5638869404792786},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.558506429195404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5546023845672607},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5190073251724243},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.43643462657928467},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3543604016304016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3373694121837616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.29737651348114014},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.24914920330047607},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.21852323412895203},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20123007893562317},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15235498547554016}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8509817123413086},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6133333444595337},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5638869404792786},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.558506429195404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5546023845672607},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5190073251724243},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.43643462657928467},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3543604016304016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3373694121837616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29737651348114014},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.24914920330047607},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.21852323412895203},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20123007893562317},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15235498547554016},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573428.3573699","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573428.3573699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"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":16,"referenced_works":["https://openalex.org/W1476376401","https://openalex.org/W1676314349","https://openalex.org/W1963826206","https://openalex.org/W1992426838","https://openalex.org/W1999136078","https://openalex.org/W2030927653","https://openalex.org/W2240536489","https://openalex.org/W2258054274","https://openalex.org/W2884847196","https://openalex.org/W2901836533","https://openalex.org/W2963725088","https://openalex.org/W3120121719","https://openalex.org/W3163925244","https://openalex.org/W6600103761","https://openalex.org/W6601646180","https://openalex.org/W6631743589"],"related_works":["https://openalex.org/W2018239771","https://openalex.org/W2803565462","https://openalex.org/W2736885024","https://openalex.org/W4313447577","https://openalex.org/W3136952737","https://openalex.org/W2736439620","https://openalex.org/W2767478428","https://openalex.org/W2726440795","https://openalex.org/W2950324744","https://openalex.org/W2980145006"],"abstract_inverted_index":{"Due":[0],"to":[1,31,44,112],"the":[2,33,46,55,74,114],"existence":[3],"of":[4,57,102],"missing":[5],"entries":[6],"in":[7],"real-world":[8],"tensor":[9,12,28,49,62,93],"data,":[10],"low-rank":[11,66,104],"completion":[13,63,116],"(LRTC)":[14],"problem":[15],"has":[16],"received":[17],"increasing":[18],"attention.":[19],"In":[20],"this":[21,81],"paper,":[22],"we":[23,83],"propose":[24],"a":[25,38],"new":[26],"transformed":[27,39,48,92],"Schatten-":[29,50,94],"norm":[30,35,41,51,95],"replace":[32],"rank":[34],"and":[36,76,106],"develop":[37],"multi-tensor-Schatten-":[40],"surrogate":[42],"theorem":[43],"convert":[45],"non-convex":[47,91],"with":[52,90,96],"0<<1":[53,97],"into":[54],"sum":[56],"multiple":[58],"convex":[59],"functions.":[60],"However,":[61],"constrained":[64],"by":[65],"prior":[67,105,109],"alone":[68],"cannot":[69],"protect":[70],"local":[71,107],"smoothness":[72],"along":[73],"spatial":[75],"tubal":[77],"dimensions.":[78],"To":[79],"address":[80],"drawback,":[82],"combine":[84],"anisotropic":[85],"total":[86],"variation":[87],"(TV)":[88],"regularization":[89],"for":[98],"LRTC.":[99],"The":[100],"combination":[101],"global":[103],"TV":[108],"is":[110],"beneficial":[111],"improving":[113],"final":[115],"effect.":[117],"Our":[118],"experimental":[119],"results":[120],"on":[121],"grey-scale":[122],"video":[123],"inpainting":[124],"demonstrate":[125],"that":[126],"our":[127],"proposed":[128],"method":[129],"outperforms":[130],"other":[131],"existing":[132],"state-of-the-art":[133],"methods.":[134]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
