{"id":"https://openalex.org/W4390660203","doi":"https://doi.org/10.1109/lsp.2024.3350989","title":"VVC Intra Coding Complexity Optimization Based on Early Skipping of the Secondary Transform","display_name":"VVC Intra Coding Complexity Optimization Based on Early Skipping of the Secondary Transform","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390660203","doi":"https://doi.org/10.1109/lsp.2024.3350989"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3350989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3350989","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5100398552","display_name":"Yifan Wang","orcid":"https://orcid.org/0000-0002-2818-2331"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Wang","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-2818-2331","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103201654","display_name":"Shixuan Feng","orcid":"https://orcid.org/0009-0004-6062-3194"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shixuan Feng","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0004-6062-3194","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041968797","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-7291-8193"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China","Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7291-8193","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055433813","display_name":"Fuzheng Yang","orcid":"https://orcid.org/0000-0002-8369-8015"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuzheng Yang","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-8369-8015","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.43,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79750623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"31","issue":null,"first_page":"366","last_page":"370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":1.0,"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":1.0,"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":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing 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"}}],"keywords":[{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7885534763336182},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6325430870056152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6046488285064697},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.573124349117279},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5697451233863831},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4761888086795807},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.4737580418586731},{"id":"https://openalex.org/keywords/bit-rate","display_name":"Bit rate","score":0.43399927020072937},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.421329528093338},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25565895438194275},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.21397966146469116},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15233001112937927}],"concepts":[{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7885534763336182},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6325430870056152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6046488285064697},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.573124349117279},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5697451233863831},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4761888086795807},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.4737580418586731},{"id":"https://openalex.org/C2987812609","wikidata":"https://www.wikidata.org/wiki/Q194158","display_name":"Bit rate","level":2,"score":0.43399927020072937},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.421329528093338},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25565895438194275},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.21397966146469116},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15233001112937927},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3350989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3350989","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G8290150096","display_name":null,"funder_award_id":"62371358","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2088347497","https://openalex.org/W2101700394","https://openalex.org/W2146395539","https://openalex.org/W2767180417","https://openalex.org/W2800611390","https://openalex.org/W2889614379","https://openalex.org/W2921369765","https://openalex.org/W2945347962","https://openalex.org/W2999228049","https://openalex.org/W3027652730","https://openalex.org/W3035784627","https://openalex.org/W3101034421","https://openalex.org/W3168057692","https://openalex.org/W3173749647","https://openalex.org/W3202918664","https://openalex.org/W4205498476","https://openalex.org/W4220681200","https://openalex.org/W4225592906","https://openalex.org/W4297984649","https://openalex.org/W4311528064","https://openalex.org/W4312854408","https://openalex.org/W4312903814","https://openalex.org/W4380739070","https://openalex.org/W6675207249"],"related_works":["https://openalex.org/W2095407248","https://openalex.org/W1997714924","https://openalex.org/W2129190845","https://openalex.org/W4389045637","https://openalex.org/W1994209155","https://openalex.org/W2076843925","https://openalex.org/W4384300015","https://openalex.org/W2054979592","https://openalex.org/W2100712766","https://openalex.org/W2078701219"],"abstract_inverted_index":{"The":[0],"new":[1],"generation":[2],"video":[3],"coding":[4,13,23,60],"standard,":[5],"H.266/-VVC,":[6],"brings":[7],"performance":[8],"gains":[9],"while":[10],"significantly":[11],"increasing":[12],"complexity.":[14],"Most":[15],"of":[16,29,51,67,75,135],"the":[17,27,33,41,49,68,73,81,88,92,99,126,133],"complexity":[18,61],"optimization":[19,62],"methods":[20],"for":[21,58],"intra":[22,59],"focus":[24],"on":[25,64,109],"reducing":[26],"number":[28],"prediction":[30],"modes":[31],"entering":[32],"rate-distortion":[34],"optimization,":[35],"but":[36],"there":[37],"are":[38],"few":[39],"concerning":[40],"newly":[42],"introduced":[43],"secondary":[44,69,89,128],"transform.":[45,70,129],"This":[46],"letter":[47],"extends":[48],"scope":[50],"existing":[52],"studies":[53],"and":[54,120,140,149,168],"provides":[55],"valuable":[56],"insights":[57],"based":[63],"early":[65],"skipping":[66,125],"Specifically,":[71],"considering":[72],"distribution":[74],"residuals":[76],"assessed":[77],"by":[78,102,124],"coefficients":[79,105],"after":[80],"primary":[82],"transform,":[83],"we":[84,112],"propose":[85],"to":[86,157],"skip":[87,115],"transform":[90],"when":[91],"residual":[93],"variation":[94],"is":[95,106],"relatively":[96],"flat":[97],"or":[98],"distortion":[100],"caused":[101],"zeroing":[103],"high-frequency":[104],"significant.":[107],"Based":[108],"this":[110],"analysis,":[111],"establish":[113],"two":[114],"conditions":[116],"through":[117],"statistical":[118],"analysis":[119],"enable":[121],"efficient":[122],"decision-making":[123],"unnecessary":[127],"Experimental":[130],"results":[131],"demonstrate":[132],"effectiveness":[134],"our":[136],"algorithm,":[137],"achieving":[138],"3.84%":[139],"10.29%":[141],"reductions":[142],"in":[143,152],"encoding":[144],"time":[145],"with":[146],"only":[147],"0.39%":[148],"1.03%":[150],"increases":[151],"Bjontegaard":[153],"delta":[154],"bit-rate":[155],"compared":[156],"Fraunhofer":[158],"Versatile":[159],"Video":[160],"Encoder":[161],"(VVenC)\u2019s":[162],"medium":[163],"preset,":[164],"under":[165],"random-access":[166],"(RA)":[167],"all-intra":[169],"(AI)":[170],"configurations":[171],"respectively.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
