{"id":"https://openalex.org/W1992428276","doi":"https://doi.org/10.1109/pcs.2013.6737672","title":"A butterfly structured design of the hybrid transform coding scheme","display_name":"A butterfly structured design of the hybrid transform coding scheme","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W1992428276","doi":"https://doi.org/10.1109/pcs.2013.6737672","mag":"1992428276"},"language":"en","primary_location":{"id":"doi:10.1109/pcs.2013.6737672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2013.6737672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Picture Coding Symposium (PCS)","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/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":true,"raw_author_name":"Jingning Han","raw_affiliation_strings":["Google Inc, Mountain View, CA","Google Inc., Mountain View, CA USA"],"affiliations":[{"raw_affiliation_string":"Google Inc, Mountain View, CA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Inc., Mountain View, CA USA","institution_ids":[]}]},{"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":["Google Inc, Mountain View, CA","Google Inc., Mountain View, CA USA"],"affiliations":[{"raw_affiliation_string":"Google Inc, Mountain View, CA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Inc., Mountain View, CA USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024859042","display_name":"Debargha Mukherjee","orcid":"https://orcid.org/0000-0002-9380-7377"},"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":"Debargha Mukherjee","raw_affiliation_strings":["Google Inc, Mountain View, CA","Google Inc., Mountain View, CA USA"],"affiliations":[{"raw_affiliation_string":"Google Inc, Mountain View, CA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Inc., Mountain View, CA USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046233912"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":0.3216,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.55468435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9994000196456909,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.8803583383560181},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.7797315716743469},{"id":"https://openalex.org/keywords/lapped-transform","display_name":"Lapped transform","score":0.7401745319366455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6129883527755737},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5071525573730469},{"id":"https://openalex.org/keywords/modified-discrete-cosine-transform","display_name":"Modified discrete cosine transform","score":0.45407143235206604},{"id":"https://openalex.org/keywords/s-transform","display_name":"S transform","score":0.4403987526893616},{"id":"https://openalex.org/keywords/discrete-sine-transform","display_name":"Discrete sine transform","score":0.42813393473625183},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4103609621524811},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24097654223442078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23072320222854614},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.22277772426605225},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.2096039354801178},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.20861881971359253},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.1833314597606659},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0986456573009491}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8803583383560181},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.7797315716743469},{"id":"https://openalex.org/C91458471","wikidata":"https://www.wikidata.org/wiki/Q17096468","display_name":"Lapped transform","level":5,"score":0.7401745319366455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6129883527755737},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5071525573730469},{"id":"https://openalex.org/C28726691","wikidata":"https://www.wikidata.org/wiki/Q1268231","display_name":"Modified discrete cosine transform","level":5,"score":0.45407143235206604},{"id":"https://openalex.org/C99234102","wikidata":"https://www.wikidata.org/wiki/Q7395403","display_name":"S transform","level":5,"score":0.4403987526893616},{"id":"https://openalex.org/C167058841","wikidata":"https://www.wikidata.org/wiki/Q971039","display_name":"Discrete sine transform","level":5,"score":0.42813393473625183},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4103609621524811},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24097654223442078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23072320222854614},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.22277772426605225},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2096039354801178},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.20861881971359253},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.1833314597606659},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0986456573009491},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/pcs.2013.6737672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pcs.2013.6737672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Picture Coding Symposium (PCS)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.687.2608","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.687.2608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://static.googleusercontent.com/media/research.google.com/en/us/pubs/archive/41418.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2026732536","https://openalex.org/W2038297644","https://openalex.org/W2048916503","https://openalex.org/W2086393337","https://openalex.org/W2105815873","https://openalex.org/W2121262603","https://openalex.org/W2186435531","https://openalex.org/W2725179571"],"related_works":["https://openalex.org/W2978563117","https://openalex.org/W2162505377","https://openalex.org/W2090071970","https://openalex.org/W2046080157","https://openalex.org/W2963134360","https://openalex.org/W2031614119","https://openalex.org/W2086323236","https://openalex.org/W2036363614","https://openalex.org/W1964500914","https://openalex.org/W1500725064"],"abstract_inverted_index":{"The":[0],"hybrid":[1,81,137,154],"transform":[2,12,18,64,82,115,138,155],"coding":[3,47,83,139,156],"scheme":[4,84,140,157],"that":[5,121],"alternates":[6],"amongst":[7],"the":[8,15,22,38,51,60,80,100,133,150,161],"asymmetric":[9],"discrete":[10,16],"sine":[11],"(ADST)":[13],"and":[14,32,68],"cosine":[17],"(DCT)":[19],"depending":[20],"on":[21,88],"boundary":[23],"prediction":[24,42],"conditions,":[25],"is":[26,118,158],"an":[27],"efficient":[28],"tool":[29],"for":[30,76,103],"video":[31],"image":[33],"compression.":[34],"It":[35],"optimally":[36],"exploits":[37],"statistical":[39],"characteristics":[40],"of":[41,66,99,122,136,143,149],"residual,":[43],"thereby":[44,124],"achieving":[45],"significant":[46],"performance":[48,134],"gains":[49],"over":[50],"conventional":[52],"DCT-based":[53],"approach.":[54],"A":[55,146],"practical":[56],"concern":[57],"lies":[58],"in":[59,141,160],"intrinsic":[61],"conflict":[62],"between":[63],"kernels":[65],"ADST":[67],"DCT,":[69,123],"which":[70,91],"prevents":[71],"a":[72,93,112],"butterfly":[73,126,152],"structured":[74,127,153],"implementation":[75,148],"parallel":[77],"computing.":[78],"Hence":[79],"has":[85],"to":[86,97],"rely":[87],"matrix":[89],"multiplication,":[90],"presents":[92],"speed-up":[94],"barrier":[95],"due":[96],"under-utilization":[98],"hardware,":[101],"especially":[102],"larger":[104],"block":[105],"sizes.":[106],"In":[107],"this":[108],"work,":[109],"we":[110],"devise":[111],"novel":[113],"ADST-like":[114],"whose":[116],"kernel":[117],"consistent":[119],"with":[120],"enabling":[125],"computation":[128],"flow,":[129],"while":[130],"largely":[131],"retaining":[132],"advantages":[135],"terms":[142],"compression":[144],"efficiency.":[145],"prototype":[147],"proposed":[151],"available":[159],"VP9":[162],"codec":[163],"repository.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
