{"id":"https://openalex.org/W2507390973","doi":"https://doi.org/10.1109/icip.2016.7532782","title":"A staircase transform coding scheme for screen content video coding","display_name":"A staircase transform coding scheme for screen content video coding","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2507390973","doi":"https://doi.org/10.1109/icip.2016.7532782","mag":"2507390973"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5100420548","display_name":"Cheng Chen","orcid":"https://orcid.org/0000-0002-4203-2145"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cheng Chen","raw_affiliation_strings":["WebM Codec Team, Google Inc., Mountain View, CA"],"affiliations":[{"raw_affiliation_string":"WebM Codec Team, Google Inc., Mountain View, CA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046233912","display_name":"Jingning Han","orcid":"https://orcid.org/0000-0001-7168-2254"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingning Han","raw_affiliation_strings":["WebM Codec Team, Google Inc., Mountain View, CA"],"affiliations":[{"raw_affiliation_string":"WebM Codec Team, Google Inc., Mountain View, CA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103766279","display_name":"Yaowu Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaowu Xu","raw_affiliation_strings":["WebM Codec Team, Google Inc., Mountain View, CA"],"affiliations":[{"raw_affiliation_string":"WebM Codec Team, Google Inc., Mountain View, CA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010197062","display_name":"James Bankoski","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Bankoski","raw_affiliation_strings":["WebM Codec Team, Google Inc., Mountain View, CA"],"affiliations":[{"raw_affiliation_string":"WebM Codec Team, Google Inc., Mountain View, CA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100420548"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0731809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"21","issue":null,"first_page":"2365","last_page":"2369"},"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/T10901","display_name":"Advanced Data Compression 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9962999820709229,"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.8391299247741699},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.623916745185852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6074239611625671},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5267555117607117},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.48673394322395325},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4399600028991699},{"id":"https://openalex.org/keywords/ringing","display_name":"Ringing","score":0.43546611070632935},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4119887351989746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37518075108528137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36163684725761414},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.15321418642997742},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11565116047859192}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8391299247741699},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.623916745185852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6074239611625671},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5267555117607117},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.48673394322395325},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4399600028991699},{"id":"https://openalex.org/C30684385","wikidata":"https://www.wikidata.org/wiki/Q176509","display_name":"Ringing","level":3,"score":0.43546611070632935},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4119887351989746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37518075108528137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36163684725761414},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.15321418642997742},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11565116047859192},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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":18,"referenced_works":["https://openalex.org/W591821914","https://openalex.org/W1566882572","https://openalex.org/W1634005169","https://openalex.org/W1983278416","https://openalex.org/W1985096164","https://openalex.org/W2000193445","https://openalex.org/W2014512781","https://openalex.org/W2019428299","https://openalex.org/W2026732536","https://openalex.org/W2038297644","https://openalex.org/W2085088312","https://openalex.org/W2145300615","https://openalex.org/W2249152912","https://openalex.org/W2332316162","https://openalex.org/W4239851455","https://openalex.org/W6633893560","https://openalex.org/W6655510177","https://openalex.org/W6657076264"],"related_works":["https://openalex.org/W2094583657","https://openalex.org/W1594300462","https://openalex.org/W2158009109","https://openalex.org/W1606460848","https://openalex.org/W1706111048","https://openalex.org/W2129927873","https://openalex.org/W2772846670","https://openalex.org/W2112852877","https://openalex.org/W2034796835","https://openalex.org/W3188631569"],"abstract_inverted_index":{"Demand":[0],"for":[1,70],"screen":[2,71,114],"content":[3,72],"videos":[4],"that":[5,54,135,157],"contain":[6],"computer":[7],"generated":[8],"text":[9],"and":[10,28],"graphics":[11],"is":[12,46,119,132],"growing.":[13],"They":[14],"are":[15,87],"very":[16,29],"different":[17],"from":[18,99],"natural":[19],"videos,":[20],"because":[21,48],"they":[22],"include":[23],"much":[24],"sharper":[25],"edge":[26],"transitions":[27,107],"repetitive":[30],"patterns.":[31],"On":[32],"this":[33],"type":[34],"of":[35,39,79,89,113,142,149,160],"material,":[36],"the":[37,40,52,64,83,92,105,111,136,158,171],"efficacy":[38],"conventional":[41],"discrete":[42],"cosine":[43],"transform":[44,118,124,162],"(DCT)":[45],"questionable":[47],"it":[49],"relies":[50],"on":[51],"assumption":[53,65],"a":[55,60,77,122],"Gauss-Markov":[56],"model":[57],"leads":[58],"to":[59,170],"base-band":[61],"signal.":[62],"However,":[63],"may":[66],"not":[67],"hold":[68],"true":[69],"material.":[73],"This":[74],"work":[75],"exploits":[76],"class":[78],"staircase":[80,93,100,117,161],"transforms.":[81],"Unlike":[82],"DCT":[84],"whose":[85],"bases":[86,97],"samplings":[88],"sinusoidal":[90],"functions,":[91,101],"transforms":[94],"have":[95],"their":[96],"sampled":[98],"which":[102],"better":[103],"approximate":[104],"sharp":[106],"often":[108],"encountered":[109],"in":[110,127,147,166],"context":[112],"content.":[115],"The":[116],"integrated":[120],"into":[121],"hybrid":[123],"coding":[125],"scheme,":[126],"conjunction":[128],"with":[129],"DCT.":[130],"It":[131],"experimentally":[133],"shown":[134],"proposed":[137],"approach":[138],"provides":[139],"an":[140],"average":[141],"2.9%":[143],"compression":[144],"performance":[145],"gains":[146],"terms":[148],"BD-rate":[150],"reduction.":[151],"A":[152],"perceptual":[153],"comparison":[154],"further":[155],"demonstrates":[156],"use":[159],"achieves":[163],"substantial":[164],"reduction":[165],"ringing":[167],"artifact":[168],"due":[169],"Gibbs":[172],"phenomenon.":[173]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}