{"id":"https://openalex.org/W4406860682","doi":"https://doi.org/10.1109/apsipaasc63619.2025.10848995","title":"Dictionary Learning Based Two-stage Near-lossless Video Compression","display_name":"Dictionary Learning Based Two-stage Near-lossless Video Compression","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406860682","doi":"https://doi.org/10.1109/apsipaasc63619.2025.10848995"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc63619.2025.10848995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc63619.2025.10848995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5102739762","display_name":"Z. Zhang","orcid":"https://orcid.org/0009-0009-6900-3633"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zuhai Zhang","raw_affiliation_strings":["Beijing University Of Technology,Beijing"],"affiliations":[{"raw_affiliation_string":"Beijing University Of Technology,Beijing","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048015245","display_name":"Luheng Jia","orcid":"https://orcid.org/0000-0001-8221-3576"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luheng Jia","raw_affiliation_strings":["Beijing University Of Technology,Beijing"],"affiliations":[{"raw_affiliation_string":"Beijing University Of Technology,Beijing","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002404808","display_name":"Li Song","orcid":"https://orcid.org/0000-0002-7124-5182"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Song","raw_affiliation_strings":["Shanghai Jiao Tong University,Shanghai"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Shanghai","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089933678","display_name":"Shuyuan Zhu","orcid":"https://orcid.org/0000-0003-4450-3868"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Zhu","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030187602","display_name":"Yuanfang Guo","orcid":"https://orcid.org/0000-0003-4592-8083"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanfang Guo","raw_affiliation_strings":["Beihang University,Beijing"],"affiliations":[{"raw_affiliation_string":"Beihang University,Beijing","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008153237","display_name":"Kebin Jia","orcid":"https://orcid.org/0000-0001-7620-2221"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kebin Jia","raw_affiliation_strings":["Beijing University Of Technology,Beijing"],"affiliations":[{"raw_affiliation_string":"Beijing University Of Technology,Beijing","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102739762"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27051279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9878000020980835,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9878000020980835,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9682999849319458,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9663000106811523,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.7955328226089478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7476317882537842},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6282795667648315},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.5558110475540161},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5355666875839233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49327772855758667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33629316091537476},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0698632299900055},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06137534976005554}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7955328226089478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7476317882537842},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6282795667648315},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.5558110475540161},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5355666875839233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49327772855758667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33629316091537476},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0698632299900055},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06137534976005554},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc63619.2025.10848995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc63619.2025.10848995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6499999761581421,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1647554988","https://openalex.org/W2043865946","https://openalex.org/W2093224282","https://openalex.org/W2116148865","https://openalex.org/W2146395539","https://openalex.org/W2153638435","https://openalex.org/W2164504603","https://openalex.org/W2335938495","https://openalex.org/W2790554081","https://openalex.org/W3185645081","https://openalex.org/W4281731338","https://openalex.org/W6675207249"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W2547124190","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2032414556","https://openalex.org/W2169871401","https://openalex.org/W2057878850"],"abstract_inverted_index":{"Traditional":[0],"hybrid":[1],"video":[2,52,61,72,89,95],"coding":[3,9,62,96,145],"framework":[4,101],"using":[5,74,98,112],"block":[6],"based":[7],"predictive":[8],"and":[10,115],"transform":[11],"coding,":[12,90,203],"such":[13],"as":[14,106],"the":[15,25,41,66,70,156,159,168,171,205],"High":[16],"Efficiency":[17],"Video":[18],"Coding":[19],"(HEVC),":[20],"cannot":[21],"further":[22,78,137],"dig":[23],"out":[24],"redundancy":[26,169],"remained":[27],"in":[28,170],"quantized":[29],"transformed":[30],"residual,":[31],"causing":[32],"extra":[33],"bits":[34,45],"consumption.":[35],"Measured":[36],"by":[37,51,68,139],"rate-distortion":[38],"(R-D)":[39],"performance,":[40],"problem":[42,67],"of":[43,158],"higher":[44],"consuming":[46],"can":[47],"be":[48,211],"solved":[49],"reversely":[50],"quality":[53,73],"enhancing.":[54],"In":[55],"this":[56],"work,":[57],"we":[58,91],"proposed":[59],"a":[60,93,99,140],"scheme":[63,97],"that":[64,102,182],"solve":[65],"enhancing":[69],"reconstructed":[71],"supplementary":[75],"information":[76,108],"from":[77],"compressed":[79,111],"quantization":[80,104,172],"error.":[81],"Aiming":[82],"at":[83,197,213],"better":[84],"R-D":[85],"performance":[86],"for":[87,131,162,201],"near-lossless":[88,177,202,230],"propose":[92],"novel":[94],"two-stage":[100],"extracts":[103],"error":[105,173],"complementary":[107],"which":[109,228],"is":[110,122,136,207],"dictionary":[113,121],"learning":[114],"sparse":[116,132],"representation.":[117,133],"The":[118],"employed":[119],"over-complete":[120],"learned":[123],"through":[124],"K-SVD":[125],"with":[126,147,191,223],"orthogonal":[127],"matching":[128],"pursuit":[129],"(OMP)":[130],"Statistically":[134],"reduandancy":[135],"removed":[138],"modified":[141],"context-adaptive":[142],"binary":[143],"arithmetic":[144],"(CABAC)":[146],"adaptive":[148],"context":[149],"models.":[150],"This":[151],"approach":[152],"not":[153],"only":[154],"retains":[155,229],"advantages":[157],"traditionally":[160],"encoder":[161,190],"lossy":[163,189],"compression":[164],"but":[165],"also":[166,208],"exploits":[167],"to":[174,210],"achieve":[175],"high-quality":[176],"compression.":[178],"Experimental":[179],"results":[180],"demonstrate":[181],"our":[183],"method":[184,206],"significantly":[185],"outperforms":[186],"traditional":[187],"HEVC":[188],"over":[192,218,226],"-20%":[193],"BD-BR":[194,220],"on":[195,221],"average":[196,222,224],"high":[198],"bitrate":[199,215],"range":[200,216],"while":[204],"proved":[209],"efficient":[212],"low":[214],"achieving":[217],"-50%":[219],"PSNR":[225],"41dB,":[227],"performance.":[231]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}