{"id":"https://openalex.org/W1992249355","doi":"https://doi.org/10.1109/tip.2013.2256917","title":"Sparse/DCT (S/DCT) Two-Layered Representation of Prediction Residuals for Video Coding","display_name":"Sparse/DCT (S/DCT) Two-Layered Representation of Prediction Residuals for Video Coding","publication_year":2013,"publication_date":"2013-04-04","ids":{"openalex":"https://openalex.org/W1992249355","doi":"https://doi.org/10.1109/tip.2013.2256917","mag":"1992249355","pmid":"https://pubmed.ncbi.nlm.nih.gov/23568505"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2013.2256917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2013.2256917","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/A5039192390","display_name":"Je\u2010Won Kang","orcid":"https://orcid.org/0000-0002-1637-9479"},"institutions":[{"id":"https://openalex.org/I19268510","display_name":"Qualcomm (United Kingdom)","ror":"https://ror.org/04d3djg48","country_code":"GB","type":"company","lineage":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]},{"id":"https://openalex.org/I4210087596","display_name":"Qualcomm (United States)","ror":"https://ror.org/002zrf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087596"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Je-Won Kang","raw_affiliation_strings":["Multimedia R&amp;D and Standard Team, Qualcomm Technologies, Inc., San Diego, CA, USA","Multimedia R&D & Stand. Team, Qualcomm Technol., Inc., San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimedia R&amp;D and Standard Team, Qualcomm Technologies, Inc., San Diego, CA, USA","institution_ids":["https://openalex.org/I19268510","https://openalex.org/I4210087596"]},{"raw_affiliation_string":"Multimedia R&D & Stand. Team, Qualcomm Technol., Inc., San Diego, CA, USA","institution_ids":["https://openalex.org/I19268510"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007583477","display_name":"Moncef Gabbouj","orcid":"https://orcid.org/0000-0002-9788-2323"},"institutions":[{"id":"https://openalex.org/I150589677","display_name":"Tampere University of Applied Sciences","ror":"https://ror.org/00bwtjf83","country_code":"FI","type":"education","lineage":["https://openalex.org/I150589677"]},{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Moncef Gabbouj","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, Tampere, Finland","Dept. of Signal Process., Tampere Univ. of Technol., Tampere, , Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Dept. of Signal Process., Tampere Univ. of Technol., Tampere, , Finland","institution_ids":["https://openalex.org/I150589677"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001082656","display_name":"C.\u2010C. Jay Kuo","orcid":"https://orcid.org/0000-0001-9474-5035"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C.-C. Jay Kuo","raw_affiliation_strings":["Ming Hsieh Department of Electrical Engineering and Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ming Hsieh Department of Electrical Engineering and Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6684,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94710863,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"7","first_page":"2711","last_page":"2722"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.8619035482406616},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7539643049240112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6826968789100647},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6778267025947571},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.6736977696418762},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.538595974445343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5063399076461792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4731020927429199},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.45015615224838257},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.4431843161582947},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.43711450695991516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4216776490211487},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27531254291534424},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1146371066570282},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0768875777721405}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8619035482406616},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7539643049240112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6826968789100647},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6778267025947571},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.6736977696418762},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.538595974445343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5063399076461792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4731020927429199},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.45015615224838257},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.4431843161582947},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.43711450695991516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4216776490211487},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27531254291534424},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1146371066570282},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0768875777721405},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2013.2256917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2013.2256917","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:23568505","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23568505","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},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.390.8412","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.390.8412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.tut.fi/~moncef/publications/sparse-dct-TIP-2013.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308668","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1863351138","https://openalex.org/W1967039515","https://openalex.org/W1971633799","https://openalex.org/W1985028362","https://openalex.org/W1986931325","https://openalex.org/W1995967686","https://openalex.org/W2018129193","https://openalex.org/W2057606427","https://openalex.org/W2067743803","https://openalex.org/W2095869081","https://openalex.org/W2099111195","https://openalex.org/W2099641086","https://openalex.org/W2099986430","https://openalex.org/W2101700394","https://openalex.org/W2112447569","https://openalex.org/W2114078218","https://openalex.org/W2116148865","https://openalex.org/W2118297240","https://openalex.org/W2121396509","https://openalex.org/W2127125674","https://openalex.org/W2129950039","https://openalex.org/W2133833176","https://openalex.org/W2141702144","https://openalex.org/W2151693816","https://openalex.org/W2153663612","https://openalex.org/W2154332973","https://openalex.org/W2154996879","https://openalex.org/W2157624579","https://openalex.org/W2160547390","https://openalex.org/W2172058749","https://openalex.org/W2478708596","https://openalex.org/W6676727762"],"related_works":["https://openalex.org/W2403124343","https://openalex.org/W1987778158","https://openalex.org/W4362519939","https://openalex.org/W2613214950","https://openalex.org/W2108288699","https://openalex.org/W2551340648","https://openalex.org/W2010408989","https://openalex.org/W4388069711","https://openalex.org/W2072993124","https://openalex.org/W4386496203"],"abstract_inverted_index":{"In":[0],"this":[1,16,87],"paper,":[2],"we":[3],"propose":[4],"a":[5,30,44,50],"cascaded":[6,93],"sparse/DCT":[7],"(S/DCT)":[8],"two-layer":[9],"representation":[10,66,91],"of":[11,20,39,47],"prediction":[12],"residuals,":[13],"and":[14],"implement":[15],"idea":[17],"on":[18],"top":[19],"the":[21,64,72,77,89,95,102,123,127,133],"state-of-the-art":[22],"high":[23,45],"efficiency":[24],"video":[25],"coding":[26,107],"(HEVC)":[27],"standard.":[28],"First,":[29],"dictionary":[31],"is":[32,61,68,92,99,117],"adaptively":[33],"trained":[34],"to":[35,76,101,105],"contain":[36],"featured":[37],"patterns":[38],"residual":[40,52],"signals":[41],"so":[42],"that":[43,63,122],"portion":[46],"energy":[48],"in":[49,71,132],"structured":[51],"can":[53],"be":[54],"efficiently":[55],"coded":[56],"via":[57],"sparse":[58,65],"coding.":[59],"It":[60,98,116],"observed":[62],"alone":[67],"less":[69],"effective":[70],"R-D":[73],"performance":[74],"due":[75],"side":[78],"information":[79],"overhead":[80],"at":[81,94],"higher":[82],"bit":[83],"rates.":[84],"To":[85],"overcome":[86],"problem,":[88],"DCT":[90],"second":[96],"stage.":[97],"applied":[100],"remaining":[103],"signal":[104],"improve":[106],"efficiency.":[108],"The":[109],"two":[110],"representations":[111],"successfully":[112],"complement":[113],"each":[114],"other.":[115],"demonstrated":[118],"by":[119],"experimental":[120],"results":[121],"proposed":[124],"algorithm":[125],"outperforms":[126],"HEVC":[128],"reference":[129],"codec":[130],"HM5.0":[131],"Common":[134],"Test":[135],"Condition.":[136]},"counts_by_year":[{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
