{"id":"https://openalex.org/W4411471925","doi":"https://doi.org/10.1109/tip.2025.3579992","title":"Video Coding With Cross-Component Sample Offset","display_name":"Video Coding With Cross-Component Sample Offset","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411471925","doi":"https://doi.org/10.1109/tip.2025.3579992","pmid":"https://pubmed.ncbi.nlm.nih.gov/40540384"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3579992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3579992","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/A5083438552","display_name":"Han Gao","orcid":"https://orcid.org/0000-0001-6547-1557"},"institutions":[{"id":"https://openalex.org/I70745867","display_name":"KLA (United States)","ror":"https://ror.org/02rqhpa98","country_code":"US","type":"company","lineage":["https://openalex.org/I70745867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Han Gao","raw_affiliation_strings":["Tencent Media Lab, Palo Alto, CA, USA","Tencent Media Lab, Palo Alto, California, USA"],"raw_orcid":"https://orcid.org/0000-0001-6547-1557","affiliations":[{"raw_affiliation_string":"Tencent Media Lab, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I70745867"]},{"raw_affiliation_string":"Tencent Media Lab, Palo Alto, California, USA","institution_ids":["https://openalex.org/I70745867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101572557","display_name":"Xin Zhao","orcid":"https://orcid.org/0000-0002-7103-7666"},"institutions":[{"id":"https://openalex.org/I70745867","display_name":"KLA (United States)","ror":"https://ror.org/02rqhpa98","country_code":"US","type":"company","lineage":["https://openalex.org/I70745867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Zhao","raw_affiliation_strings":["Tencent Media Lab, Palo Alto, CA, USA","Tencent Media Lab, Palo Alto, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-7103-7666","affiliations":[{"raw_affiliation_string":"Tencent Media Lab, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I70745867"]},{"raw_affiliation_string":"Tencent Media Lab, Palo Alto, California, USA","institution_ids":["https://openalex.org/I70745867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047252975","display_name":"Tianqi Liu","orcid":"https://orcid.org/0000-0002-8617-5236"},"institutions":[{"id":"https://openalex.org/I70745867","display_name":"KLA (United States)","ror":"https://ror.org/02rqhpa98","country_code":"US","type":"company","lineage":["https://openalex.org/I70745867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianqi Liu","raw_affiliation_strings":["Tencent Media Lab, Palo Alto, CA, USA","Tencent Media Lab, Palo Alto, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-8617-5236","affiliations":[{"raw_affiliation_string":"Tencent Media Lab, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I70745867"]},{"raw_affiliation_string":"Tencent Media Lab, Palo Alto, California, USA","institution_ids":["https://openalex.org/I70745867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100449791","display_name":"Shan Liu","orcid":"https://orcid.org/0000-0002-1442-1207"},"institutions":[{"id":"https://openalex.org/I70745867","display_name":"KLA (United States)","ror":"https://ror.org/02rqhpa98","country_code":"US","type":"company","lineage":["https://openalex.org/I70745867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shan Liu","raw_affiliation_strings":["Tencent Media Lab, Palo Alto, CA, USA","Tencent Media Lab, Palo Alto, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-1442-1207","affiliations":[{"raw_affiliation_string":"Tencent Media Lab, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I70745867"]},{"raw_affiliation_string":"Tencent Media Lab, Palo Alto, California, USA","institution_ids":["https://openalex.org/I70745867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I70745867"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.3075,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88868119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"34","issue":null,"first_page":"3971","last_page":"3981"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9993000030517578,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.6856561899185181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6489396691322327},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6214184165000916},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.5910862684249878},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4655844271183014},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.4485376179218292},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.4390106797218323},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.4358152449131012},{"id":"https://openalex.org/keywords/color-depth","display_name":"Color depth","score":0.4118078649044037},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.32964247465133667},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.2647990882396698},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25677430629730225},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2231394350528717},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2103048861026764},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08905071020126343},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08050537109375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6856561899185181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6489396691322327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6214184165000916},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.5910862684249878},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4655844271183014},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.4485376179218292},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.4390106797218323},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.4358152449131012},{"id":"https://openalex.org/C91522604","wikidata":"https://www.wikidata.org/wiki/Q690110","display_name":"Color depth","level":5,"score":0.4118078649044037},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.32964247465133667},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2647990882396698},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25677430629730225},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2231394350528717},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2103048861026764},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08905071020126343},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08050537109375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3579992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3579992","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:40540384","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40540384","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":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1486770876","https://openalex.org/W1999074289","https://openalex.org/W2011612662","https://openalex.org/W2025394713","https://openalex.org/W2027413591","https://openalex.org/W2096189771","https://openalex.org/W2123113293","https://openalex.org/W2146395539","https://openalex.org/W2343937769","https://openalex.org/W2527393906","https://openalex.org/W2791542696","https://openalex.org/W2792795687","https://openalex.org/W2794264150","https://openalex.org/W2800769537","https://openalex.org/W2891639355","https://openalex.org/W2962685536","https://openalex.org/W2964173638","https://openalex.org/W2999132674","https://openalex.org/W2999634865","https://openalex.org/W2999940418","https://openalex.org/W3000016557","https://openalex.org/W3008317530","https://openalex.org/W3043029414","https://openalex.org/W3080863304","https://openalex.org/W3134368609","https://openalex.org/W3135530072","https://openalex.org/W3153323090","https://openalex.org/W3159986340","https://openalex.org/W3170867718","https://openalex.org/W3202918664","https://openalex.org/W4283822152","https://openalex.org/W4285504678","https://openalex.org/W4293799408","https://openalex.org/W4389956106"],"related_works":["https://openalex.org/W2371889927","https://openalex.org/W3032257599","https://openalex.org/W2381359291","https://openalex.org/W1981206111","https://openalex.org/W2589042415","https://openalex.org/W1977788373","https://openalex.org/W2355820532","https://openalex.org/W2541053852","https://openalex.org/W2072005114","https://openalex.org/W2360062918"],"abstract_inverted_index":{"Beyond":[0],"the":[1,36,47,116,126,134,145,180,208],"exploration":[2],"of":[3,121],"traditional":[4],"spatial,":[5],"temporal":[6],"and":[7,14,87,98,125,154,162,189,195],"subjective":[8,209],"visual":[9,163,210],"signal":[10],"redundancy":[11,25],"in":[12,46,158],"image":[13,153],"video":[15,155,174],"compression,":[16],"recent":[17],"research":[18],"has":[19,167],"focused":[20],"on":[21,133,193],"leveraging":[22],"cross-color":[23],"component":[24,55],"to":[26,91,115,151],"enhance":[27],"coding":[28,31,69,160,191],"efficiency.":[29],"Cross-component":[30],"approaches":[32],"are":[33],"motivated":[34],"by":[35,66,179],"statistical":[37],"correlations":[38],"among":[39],"different":[40],"color":[41,49,54,63],"components,":[42],"such":[43],"as":[44],"those":[45],"Y'CbCr":[48],"space,":[50],"where":[51],"luma":[52,89,97,123,136],"(Y)":[53],"typically":[56],"exhibits":[57],"finer":[58],"details":[59],"than":[60],"chroma":[61,99,139],"(Cb/Cr)":[62],"components.":[64],"Inspired":[65],"previous":[67],"cross-component":[68],"algorithms,":[70],"this":[71],"paper":[72],"introduces":[73],"a":[74,104,111,119],"novel":[75],"in-loop":[76],"filtering":[77],"approach":[78],"named":[79],"Cross-Component":[80],"Sample":[81],"Offset":[82],"(CCSO).":[83],"CCSO":[84,147,205],"utilizes":[85],"co-located":[86,138],"neighboring":[88],"samples":[90],"generate":[92],"correction":[93],"signals":[94],"for":[95,182],"both":[96,152],"reconstructed":[100,122],"samples.":[101],"It":[102],"is":[103,118,128],"multiplication-free,":[105],"non-linear":[106],"mapping":[107,117],"process":[108],"implemented":[109],"using":[110],"look-up-table.":[112],"The":[113,165],"input":[114],"group":[120],"samples,":[124],"output":[127],"an":[129,171],"offset":[130],"value":[131],"applied":[132,150],"center":[135],"or":[137],"sample.":[140],"Experimental":[141],"results":[142],"demonstrate":[143],"that":[144],"proposed":[146],"can":[148],"be":[149],"coding,":[156],"resulting":[157],"improved":[159],"efficiency":[161],"quality.":[164,211],"method":[166],"been":[168],"adopted":[169],"into":[170],"experimental":[172],"next-generation":[173],"codec":[175],"beyond":[176],"AV1":[177],"developed":[178],"Alliance":[181],"Open":[183],"Media":[184],"(AOMedia),":[185],"demonstrating":[186],"average":[187],"-0.81%":[188],"-0.69%":[190],"gain":[192],"PSNR":[194],"VMAF":[196],"quality":[197],"metric,":[198],"respectively,":[199],"under":[200],"random":[201],"access":[202],"configuration.":[203],"Additionally,":[204],"notably":[206],"improves":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}