{"id":"https://openalex.org/W2024289746","doi":"https://doi.org/10.1109/tip.2013.2270087","title":"Low Latency Secondary Transforms for Intra/Inter Prediction Residual","display_name":"Low Latency Secondary Transforms for Intra/Inter Prediction Residual","publication_year":2013,"publication_date":"2013-06-19","ids":{"openalex":"https://openalex.org/W2024289746","doi":"https://doi.org/10.1109/tip.2013.2270087","mag":"2024289746","pmid":"https://pubmed.ncbi.nlm.nih.gov/23797255"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2013.2270087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2013.2270087","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5103263657","display_name":"Ankur Saxena","orcid":"https://orcid.org/0009-0000-8333-9509"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankur Saxena","raw_affiliation_strings":["Samsung Telecommunications America, Richardson, TX, USA","Samsung Telecommun. America, Richardson, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Telecommunications America, Richardson, TX, USA","institution_ids":["https://openalex.org/I4210101778"]},{"raw_affiliation_string":"Samsung Telecommun. America, Richardson, TX, USA","institution_ids":["https://openalex.org/I4210101778"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081848289","display_name":"Felix C. A. Fernandes","orcid":"https://orcid.org/0000-0002-1859-1799"},"institutions":[{"id":"https://openalex.org/I4210101778","display_name":"Samsung (United States)","ror":"https://ror.org/01bfbvm65","country_code":"US","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210101778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Felix C. Fernandes","raw_affiliation_strings":["Samsung Telecommunications America, Richardson, TX, USA","Samsung Telecommun. America, Richardson, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Telecommunications America, Richardson, TX, USA","institution_ids":["https://openalex.org/I4210101778"]},{"raw_affiliation_string":"Samsung Telecommun. America, Richardson, TX, USA","institution_ids":["https://openalex.org/I4210101778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210101778"],"apc_list":null,"apc_paid":null,"fwci":1.9046,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85832696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"22","issue":"10","first_page":"4061","last_page":"4071"},"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":0.9987000226974487,"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":0.9901000261306763,"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":0.8347870111465454},{"id":"https://openalex.org/keywords/lapped-transform","display_name":"Lapped transform","score":0.7688272595405579},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.6221423745155334},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.6018643975257874},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5474340915679932},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5356357097625732},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5063356161117554},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.44947993755340576},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3507375121116638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31455105543136597},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17050272226333618},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1281316876411438},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07274836301803589}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8347870111465454},{"id":"https://openalex.org/C91458471","wikidata":"https://www.wikidata.org/wiki/Q17096468","display_name":"Lapped transform","level":5,"score":0.7688272595405579},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.6221423745155334},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.6018643975257874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5474340915679932},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5356357097625732},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5063356161117554},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.44947993755340576},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3507375121116638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31455105543136597},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17050272226333618},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1281316876411438},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07274836301803589}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2013.2270087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2013.2270087","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:23797255","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23797255","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320719","display_name":"Department of Science and Technology, Ministry of Science and Technology, India","ror":"https://ror.org/0101xrq71"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1997894020","https://openalex.org/W2010518064","https://openalex.org/W2015882965","https://openalex.org/W2026732536","https://openalex.org/W2026986236","https://openalex.org/W2035332379","https://openalex.org/W2038297644","https://openalex.org/W2101700394","https://openalex.org/W2106219841","https://openalex.org/W2114900009","https://openalex.org/W2140199336","https://openalex.org/W2165101139"],"related_works":["https://openalex.org/W2258231948","https://openalex.org/W2162505377","https://openalex.org/W2094583657","https://openalex.org/W2112852877","https://openalex.org/W2115252864","https://openalex.org/W2128618986","https://openalex.org/W2119239074","https://openalex.org/W2111266495","https://openalex.org/W2100514733","https://openalex.org/W2133833176"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,188],"present":[4],"a":[5,9,115],"transform":[6,11,47,75,112,134,147,175],"scheme":[7,76,159,176],"where":[8,105],"secondary":[10,46,133,196],"is":[12,28,48,82,123,135],"applied":[13,49,83],"after":[14],"the":[15,39,51,61,86,90,95,126,132,139,151,155,173,182,194],"conventional":[16,64,183],"DCT":[17,65,91],"for":[18,142,154],"intra":[19,143],"as":[20,22,80,101],"well":[21],"inter":[23,156],"prediction":[24,140,152],"residues.":[25],"Our":[26,168],"approach":[27],"applicable":[29],"to":[30,50,85,130,192],"any":[31],"block-based":[32],"video":[33],"codec":[34],"that":[35,172],"employs":[36],"transforms":[37,197],"along":[38],"horizontal":[40],"and":[41,71,125,145],"vertical":[42],"direction":[43,141],"separably.":[44],"The":[45,73,120,158],"lower":[52],"K":[53],"(":[54],"K=4":[55],"or":[56,165],"8)":[57],"frequency":[58],"coefficients":[59],"of":[60,63,89,97,128],"output":[62],"at":[66],"block":[67],"with":[68,198],"dimensions":[69],"8":[70],"larger.":[72],"proposed":[74,121,174,195],"has":[77],"low":[78,199],"complexity":[79],"it":[81],"only":[84],"top-left":[87],"portion":[88],"output,":[92],"especially":[93],"in":[94,150,201],"context":[96],"large":[98],"blocks":[99],"such":[100],"32":[102,104,109,111],"\u00d7":[103,110],"an":[106],"alternate":[107],"non-DCT":[108],"would":[113],"have":[114],"prohibitive":[116],"implementation":[117],"hardware":[118],"cost.":[119],"technique":[122],"single-pass,":[124],"choice":[127],"whether":[129],"use":[131],"solely":[136],"based":[137],"on":[138,146],"residue,":[144],"unit":[148,153],"location":[149],"residue.":[157],"requires":[160],"no":[161],"additional":[162],"signaling":[163],"information":[164],"R-D":[166],"search.":[167],"simulation":[169],"results":[170],"show":[171,190],"provides":[177],"significant":[178],"BD-rate":[179],"improvement":[180],"over":[181],"DCT-based":[184],"coding":[185],"scheme.":[186],"Finally,":[187],"also":[189],"how":[191],"implement":[193],"latency":[200],"hardware.":[202]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
