{"id":"https://openalex.org/W2018129193","doi":"https://doi.org/10.1109/icip.2010.5651058","title":"Direction-adaptive transforms for coding prediction residuals","display_name":"Direction-adaptive transforms for coding prediction residuals","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2018129193","doi":"https://doi.org/10.1109/icip.2010.5651058","mag":"2018129193"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5651058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5024386606","display_name":"Robert Cohen","orcid":"https://orcid.org/0000-0001-7724-8993"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Robert A. Cohen","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","Mitsubishi Electric Research Laboratories, Cambridge MA 02139, USA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Cambridge MA 02139, USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041465857","display_name":"Sven Klomp","orcid":null},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sven Klomp","raw_affiliation_strings":["Leibniz Universit\u00e4t Hannover, Germany","Leibniz-Universit\u00e4t, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Leibniz Universit\u00e4t Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]},{"raw_affiliation_string":"Leibniz-Universit\u00e4t, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049841606","display_name":"Anthony Vetro","orcid":"https://orcid.org/0000-0002-8194-573X"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony Vetro","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","Mitsubishi Electric Research Laboratories, Cambridge MA 02139, USA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Cambridge MA 02139, USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103071044","display_name":"Huifang Sun","orcid":"https://orcid.org/0000-0003-2918-1522"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huifang Sun","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","Mitsubishi Electric Research Laboratories, Cambridge MA 02139, USA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Cambridge MA 02139, USA","institution_ids":["https://openalex.org/I4210159266"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024386606"],"corresponding_institution_ids":["https://openalex.org/I4210159266"],"apc_list":null,"apc_paid":null,"fwci":2.0291,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86714086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"16","issue":null,"first_page":"185","last_page":"188"},"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/T10531","display_name":"Advanced Vision and Imaging","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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9983999729156494,"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/residual","display_name":"Residual","score":0.8025742769241333},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.7409146428108215},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6658499240875244},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6372463703155518},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6032819747924805},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.5956223011016846},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4946903884410858},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.47156283259391785},{"id":"https://openalex.org/keywords/context-adaptive-variable-length-coding","display_name":"Context-adaptive variable-length coding","score":0.46748894453048706},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.46060046553611755},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.4486350417137146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3510954976081848},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3063608705997467},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15503659844398499},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09694629907608032}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8025742769241333},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7409146428108215},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6658499240875244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6372463703155518},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6032819747924805},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.5956223011016846},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4946903884410858},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.47156283259391785},{"id":"https://openalex.org/C135534801","wikidata":"https://www.wikidata.org/wiki/Q1128721","display_name":"Context-adaptive variable-length coding","level":4,"score":0.46748894453048706},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.46060046553611755},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.4486350417137146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3510954976081848},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3063608705997467},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15503659844398499},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09694629907608032}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2010.5651058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.295.9063","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.9063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.374.7890","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.374.7890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.merl.com/publications/docs/TR2010-090.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W832984975","https://openalex.org/W1603895355","https://openalex.org/W2008221957","https://openalex.org/W2101700394","https://openalex.org/W2127588422","https://openalex.org/W2129768577","https://openalex.org/W2133669042","https://openalex.org/W2133833176","https://openalex.org/W2165101139","https://openalex.org/W2231807098","https://openalex.org/W2276329208","https://openalex.org/W2488097972","https://openalex.org/W6652650672","https://openalex.org/W6675207249"],"related_works":["https://openalex.org/W1587703409","https://openalex.org/W2591803935","https://openalex.org/W2237847712","https://openalex.org/W2167359416","https://openalex.org/W1978571360","https://openalex.org/W1987576066","https://openalex.org/W2073036814","https://openalex.org/W2061123242","https://openalex.org/W303791164","https://openalex.org/W1600508251"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,49,66],"present":[4],"2-D":[5,28],"direction-adaptive":[6],"transforms":[7],"for":[8],"coding":[9,31],"prediction":[10,61,73],"residuals":[11],"of":[12],"video.":[13],"These":[14],"Direction-Adaptive":[15],"Residual":[16],"Transforms":[17],"(DART)":[18],"are":[19,53],"shown":[20],"to":[21,46,55,84,101],"be":[22],"more":[23],"effective":[24],"than":[25],"the":[26,40,69,72,76,104],"traditional":[27],"DCT":[29],"when":[30],"residual":[32],"blocks":[33],"that":[34],"contain":[35],"directional":[36,41],"features.":[37],"After":[38],"presenting":[39],"transform":[42],"structures":[43],"and":[44,59,75,86,95],"improvements":[45,88],"their":[47],"efficiency,":[48],"outline":[50],"how":[51],"they":[52],"used":[54],"code":[56],"both":[57],"Inter":[58],"Intra":[60,64],"residuals.":[62],"For":[63],"coding,":[65],"also":[67],"demonstrate":[68],"relation":[70],"between":[71],"mode":[74],"optimal":[77],"DART":[78],"orientation.":[79],"Experimental":[80],"results":[81],"exhibit":[82],"up":[83],"7%":[85],"9.3%":[87],"in":[89,92],"compression":[90],"efficiency":[91],"JM":[93],"16.0":[94],"JM-KTA":[96],"2.6r1":[97],"respectively,":[98],"as":[99],"compared":[100],"using":[102],"only":[103],"conventional":[105],"H.264/AVC":[106],"transform.":[107]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
