{"id":"https://openalex.org/W2050048686","doi":"https://doi.org/10.1109/tcsvt.2011.2168291","title":"Mode-Dependent Transforms for Coding Directional Intra Prediction Residuals","display_name":"Mode-Dependent Transforms for Coding Directional Intra Prediction Residuals","publication_year":2011,"publication_date":"2011-09-22","ids":{"openalex":"https://openalex.org/W2050048686","doi":"https://doi.org/10.1109/tcsvt.2011.2168291","mag":"2050048686"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2011.2168291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2011.2168291","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-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/A5028054905","display_name":"Chuohao Yeo","orcid":null},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chuohao Yeo","raw_affiliation_strings":["Signal Processing Department, Institute for Infocomm Research, Singapore","Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Department, Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100885845","display_name":"Yih Han Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yih Han Tan","raw_affiliation_strings":["Signal Processing Department, Institute for Infocomm Research, Singapore","Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Department, Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700917","display_name":"Zhengguo Li","orcid":"https://orcid.org/0000-0002-4525-1204"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhengguo Li","raw_affiliation_strings":["Signal Processing Department, Institute for Infocomm Research, Singapore","Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Department, Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054558832","display_name":"Susanto Rahardja","orcid":"https://orcid.org/0000-0003-0831-6934"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Susanto Rahardja","raw_affiliation_strings":["Signal Processing Department, Institute for Infocomm Research, Singapore","Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing Department, Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7573,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.9681417,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"22","issue":"4","first_page":"545","last_page":"554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9991000294685364,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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":0.7221617102622986},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6056366562843323},{"id":"https://openalex.org/keywords/discrete-sine-transform","display_name":"Discrete sine transform","score":0.5684024691581726},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.5402635335922241},{"id":"https://openalex.org/keywords/s-transform","display_name":"S transform","score":0.5327684283256531},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4785386025905609},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4684845209121704},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.4546230137348175},{"id":"https://openalex.org/keywords/lapped-transform","display_name":"Lapped transform","score":0.434813529253006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4240975081920624},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.33621782064437866},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.3351427912712097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2657317817211151},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20778492093086243},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.16757887601852417},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.14175423979759216},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12731963396072388},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.09177079796791077},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.07978740334510803}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7221617102622986},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6056366562843323},{"id":"https://openalex.org/C167058841","wikidata":"https://www.wikidata.org/wiki/Q971039","display_name":"Discrete sine transform","level":5,"score":0.5684024691581726},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.5402635335922241},{"id":"https://openalex.org/C99234102","wikidata":"https://www.wikidata.org/wiki/Q7395403","display_name":"S transform","level":5,"score":0.5327684283256531},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4785386025905609},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4684845209121704},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.4546230137348175},{"id":"https://openalex.org/C91458471","wikidata":"https://www.wikidata.org/wiki/Q17096468","display_name":"Lapped transform","level":5,"score":0.434813529253006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4240975081920624},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.33621782064437866},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.3351427912712097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2657317817211151},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20778492093086243},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.16757887601852417},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.14175423979759216},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12731963396072388},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.09177079796791077},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.07978740334510803},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2011.2168291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2011.2168291","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W186974785","https://openalex.org/W2000193445","https://openalex.org/W2015882965","https://openalex.org/W2018129193","https://openalex.org/W2035421066","https://openalex.org/W2038297644","https://openalex.org/W2068409407","https://openalex.org/W2086749127","https://openalex.org/W2096383136","https://openalex.org/W2101700394","https://openalex.org/W2106219841","https://openalex.org/W2108603643","https://openalex.org/W2133833176","https://openalex.org/W2134652259","https://openalex.org/W2140199336","https://openalex.org/W2144640755","https://openalex.org/W2165101139","https://openalex.org/W2276329208","https://openalex.org/W2979673094","https://openalex.org/W2979990382","https://openalex.org/W4235934856","https://openalex.org/W6607646122"],"related_works":["https://openalex.org/W2162505377","https://openalex.org/W2978563117","https://openalex.org/W2963134360","https://openalex.org/W2031614119","https://openalex.org/W2086323236","https://openalex.org/W2106405109","https://openalex.org/W2036363614","https://openalex.org/W1500725064","https://openalex.org/W1964500914","https://openalex.org/W2043220197"],"abstract_inverted_index":{"The":[0],"use":[1],"of":[2,36,72,93,103,115],"mode-dependent":[3,38,73,117],"transforms":[4,39,118],"for":[5,68],"coding":[6,17,104],"directional":[7],"intra":[8],"prediction":[9],"residuals":[10],"has":[11,81],"been":[12],"previously":[13],"shown":[14],"to":[15,24,88],"provide":[16],"gains,":[18],"but":[19],"the":[20,59,69,77,90,94,113],"transform":[21,64,95,122],"matrices":[22,123],"have":[23],"be":[25,86],"derived":[26],"from":[27],"training.":[28,126],"In":[29,75],"this":[30],"paper,":[31],"we":[32],"derive":[33],"a":[34,42,82,116],"set":[35],"separable":[37],"by":[40],"using":[41],"simple":[43],"separable,":[44],"directional,":[45],"and":[46],"anisotropic":[47],"image":[48],"correlation":[49],"model.":[50],"Our":[51],"analysis":[52],"shows":[53],"that":[54,84,100,120],"only":[55],"one":[56],"additional":[57],"transform,":[58],"odd":[60],"type-3":[61],"discrete":[62],"sine":[63],"(ODST-3),":[65],"is":[66],"required":[67],"optimal":[70],"implementation":[71],"transforms.":[74],"addition,":[76],"four-point":[78],"ODST-3":[79],"also":[80],"structure":[83],"can":[85],"exploited":[87],"reduce":[89],"operation":[91],"count":[92],"operation.":[96],"Experimental":[97],"results":[98],"show":[99],"in":[101],"terms":[102],"efficiency,":[105],"our":[106],"proposed":[107],"approach":[108,119],"matches":[109],"or":[110],"improves":[111],"upon":[112],"performance":[114],"uses":[121],"obtained":[124],"through":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}