{"id":"https://openalex.org/W2060887160","doi":"https://doi.org/10.1109/apsipa.2014.7041587","title":"Block-based multiscale error concealment using low-rank completion","display_name":"Block-based multiscale error concealment using low-rank completion","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2060887160","doi":"https://doi.org/10.1109/apsipa.2014.7041587","mag":"2060887160"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2014.7041587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","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/A5060424860","display_name":"Mading Li","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mading Li","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, P. R. C"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. C","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761525","display_name":"Jiaying Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaying Liu","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, P. R. C"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. C","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020114907","display_name":"Chong Ruan","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Ruan","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, P. R. C"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. C","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100771916","display_name":"Lu Liu","orcid":"https://orcid.org/0000-0001-8137-671X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu Liu","raw_affiliation_strings":["CCTV International Networks Co., Ltd"],"affiliations":[{"raw_affiliation_string":"CCTV International Networks Co., Ltd","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001396675","display_name":"Zongming Guo","orcid":"https://orcid.org/0000-0002-4944-9621"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongming Guo","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, P. R. C"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, P. R. C","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060424860"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16740741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.8544316291809082},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.8144650459289551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7576800584793091},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.754023551940918},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6942741274833679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5990520715713501},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5149624943733215},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48571261763572693},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4560298025608063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.445403516292572},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4388093948364258},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.41230782866477966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18729346990585327},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16208627820014954}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.8544316291809082},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.8144650459289551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7576800584793091},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.754023551940918},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6942741274833679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5990520715713501},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5149624943733215},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48571261763572693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4560298025608063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.445403516292572},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4388093948364258},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.41230782866477966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18729346990585327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16208627820014954},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2014.7041587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1554544485","https://openalex.org/W1969698720","https://openalex.org/W1994168016","https://openalex.org/W2091449379","https://openalex.org/W2128910219","https://openalex.org/W2130639964","https://openalex.org/W2130775957","https://openalex.org/W2146176490"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W3150439626","https://openalex.org/W2365701604","https://openalex.org/W2060887160","https://openalex.org/W2368367751"],"abstract_inverted_index":{"In":[0,31],"this":[1],"paper,":[2],"we":[3,45,84],"introduce":[4],"a":[5,71,86],"novel":[6],"block-based":[7],"multiscale":[8],"error":[9],"concealment":[10],"method":[11,17],"using":[12],"low-rank":[13,24],"completion.":[14],"The":[15,56],"proposed":[16,111],"searches":[18],"for":[19,47],"similar":[20,49,64],"blocks":[21,50,57],"and":[22,98],"utilizes":[23],"completion":[25],"to":[26,33,65,70,90],"recover":[27],"the":[28,35,39,60,79,93,101,107,110],"missing":[29,80],"pixels.":[30],"order":[32],"make":[34],"full":[36],"use":[37],"of":[38,43,77,95,109],"hidden":[40],"redundant":[41],"information":[42],"images,":[44],"seek":[46],"more":[48,63,72],"by":[51],"building":[52],"an":[53],"image":[54],"pyramid.":[55],"collected":[58],"from":[59],"pyramid":[61],"are":[62],"each":[66],"other,":[67],"which":[68],"leads":[69],"accurate":[73],"recovery.":[74],"Moreover,":[75],"instead":[76],"recovering":[78],"block":[81],"at":[82],"once,":[83],"propose":[85],"ringlike":[87],"iterative":[88],"process":[89],"partially":[91],"minimize":[92],"number":[94],"unknown":[96],"pixels":[97],"further":[99],"enhance":[100],"recovery":[102],"result.":[103],"Experimental":[104],"results":[105],"demonstrate":[106],"effectiveness":[108],"method.":[112]},"counts_by_year":[],"updated_date":"2026-02-24T19:35:01.260952","created_date":"2025-10-10T00:00:00"}
