{"id":"https://openalex.org/W2513717542","doi":"https://doi.org/10.1109/iscas.2016.7539147","title":"GPU based sample adaptive offset parameter decision and perceptual optimization for HEVC","display_name":"GPU based sample adaptive offset parameter decision and perceptual optimization for HEVC","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2513717542","doi":"https://doi.org/10.1109/iscas.2016.7539147","mag":"2513717542"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2016.7539147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2016.7539147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5086988634","display_name":"Falei Luo","orcid":"https://orcid.org/0000-0003-3263-9549"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Falei Luo","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China","Institute of Digital Media, Peking University, Beijina, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Digital Media, Peking University, Beijina, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385183","display_name":"Shanshe Wang","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":"Shanshe Wang","raw_affiliation_strings":["Institute of Digital Media, Peking University, Beijina, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Digital Media, Peking University, Beijina, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331307","display_name":"Nan Zhang","orcid":"https://orcid.org/0000-0002-9675-5322"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Zhang","raw_affiliation_strings":["School of Biomedical Engineering, Capital Medical University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Capital Medical University, Beijing, China","institution_ids":["https://openalex.org/I183519381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039832462","display_name":"Siwei Ma","orcid":"https://orcid.org/0000-0002-2731-5403"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Ma","raw_affiliation_strings":["Peking University, Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["Peking University, Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7658,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72154793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2687","last_page":"2690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"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":0.9994999766349792,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9994999766349792,"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":0.7647768259048462},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.7078291177749634},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.6196762323379517},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6077918410301208},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.60506272315979},{"id":"https://openalex.org/keywords/lagrange-multiplier","display_name":"Lagrange multiplier","score":0.5721952319145203},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5055031776428223},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4788253605365753},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4125158190727234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3594238758087158},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.28708595037460327},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14166250824928284},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13954001665115356},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.1158456802368164},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.10206162929534912}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7647768259048462},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.7078291177749634},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.6196762323379517},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6077918410301208},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.60506272315979},{"id":"https://openalex.org/C73684929","wikidata":"https://www.wikidata.org/wiki/Q598870","display_name":"Lagrange multiplier","level":2,"score":0.5721952319145203},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5055031776428223},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4788253605365753},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4125158190727234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3594238758087158},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.28708595037460327},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14166250824928284},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13954001665115356},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.1158456802368164},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.10206162929534912},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2016.7539147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2016.7539147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1590150733","https://openalex.org/W1971155098","https://openalex.org/W2007529692","https://openalex.org/W2009248111","https://openalex.org/W2017801928","https://openalex.org/W2042720142","https://openalex.org/W2064428286","https://openalex.org/W2101700394","https://openalex.org/W2119938170","https://openalex.org/W2133665775","https://openalex.org/W2134227958","https://openalex.org/W2146395539","https://openalex.org/W2170319235","https://openalex.org/W6635398743","https://openalex.org/W6652665810","https://openalex.org/W6677760137"],"related_works":["https://openalex.org/W2074745806","https://openalex.org/W1997033546","https://openalex.org/W1600454385","https://openalex.org/W3120556963","https://openalex.org/W1979241556","https://openalex.org/W2105377028","https://openalex.org/W4379919368","https://openalex.org/W2370558260","https://openalex.org/W2157978609","https://openalex.org/W2220968517"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,34],"graphics":[4],"processing":[5],"unit":[6],"(GPU)":[7],"based":[8,36,63],"sample":[9],"adaptive":[10],"offset":[11],"(SAO)":[12],"parameters":[13],"decision":[14,66],"scheme":[15,38,67],"is":[16,39],"proposed":[17,61],"for":[18],"High":[19],"Efficiency":[20],"Video":[21],"Coding":[22],"(HEVC).":[23],"Then,":[24],"in":[25,76,100],"order":[26],"to":[27,42,49,82,109,129],"further":[28],"improve":[29,50],"the":[30,43,51,60,92,96,114],"performance":[31,53],"of":[32,45,54,78,102,124],"SAO,":[33],"perceptual":[35,93],"optimization":[37,94],"provided":[40],"according":[41],"adjustment":[44],"Lagrange":[46],"multiplier":[47],"aiming":[48],"subjective":[52],"SAO.":[55],"Experimental":[56],"results":[57],"demonstrate":[58],"that":[59],"GPU":[62],"SAO":[64,125],"parameter":[65],"can":[68,106,126],"achieve":[69],"average":[70,115],"0.76%":[71],"and":[72,85,104,111,118],"0.78%":[73],"BD-rate":[74,98],"gain":[75,99],"terms":[77,101],"PSNR":[79,103],"(Peak":[80],"Signal":[81],"Noise":[83],"Ratio)":[84],"SSIM":[86,105],"(Structure":[87],"Similarity)":[88],"respectively.":[89],"Combined":[90],"with":[91,113],"scheme,":[95],"maximum":[97],"be":[107,127],"up":[108],"1.77%":[110],"3.3%":[112],"as":[116],"1.23%":[117],"1.37%.":[119],"Moreover,":[120],"much":[121],"computation":[122],"complexity":[123],"distributed":[128],"GPU.":[130]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
