{"id":"https://openalex.org/W4293795170","doi":"https://doi.org/10.1109/tmm.2022.3201747","title":"Textural and Directional Information Based Offset In-Loop Filtering in AVS3","display_name":"Textural and Directional Information Based Offset In-Loop Filtering in AVS3","publication_year":2022,"publication_date":"2022-08-26","ids":{"openalex":"https://openalex.org/W4293795170","doi":"https://doi.org/10.1109/tmm.2022.3201747"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2022.3201747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3201747","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5042165284","display_name":"Jiaqi Zhang","orcid":"https://orcid.org/0000-0003-4555-3875"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaqi Zhang","raw_affiliation_strings":["Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031856671","display_name":"Yunrui Jian","orcid":"https://orcid.org/0000-0003-3616-3103"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunrui Jian","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053327243","display_name":"Suhong Wang","orcid":"https://orcid.org/0000-0001-9526-9843"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suhong Wang","raw_affiliation_strings":["National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040292663","display_name":"Chuanmin Jia","orcid":"https://orcid.org/0000-0002-7418-6245"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanmin Jia","raw_affiliation_strings":["National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385183","display_name":"Shanshe Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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":"Shanshe Wang","raw_affiliation_strings":["National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","Peng Cheng Laboratory, Shenzhen, China",", also with Information Technology Research and Development Innovation Center, Peking University, Shaoxing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":", also with Information Technology Research and Development Innovation Center, Peking University, Shaoxing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039832462","display_name":"Siwei Ma","orcid":"https://orcid.org/0000-0002-2731-5403"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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":"Siwei Ma","raw_affiliation_strings":["National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","Peng Cheng Laboratory, Shenzhen, China",", also with Information Technology Research and Development Innovation Center, Peking University, Shaoxing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":", also with Information Technology Research and Development Innovation Center, Peking University, Shaoxing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"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":"Wen Gao","raw_affiliation_strings":["National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","Peng Cheng Laboratory, Shenzhen, China",", also with Information Technology Research and Development Innovation Center, Peking University, Shaoxing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":", also with Information Technology Research and Development Innovation Center, Peking University, Shaoxing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5042165284"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.5947,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64329931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"25","issue":null,"first_page":"5957","last_page":"5971"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9988999962806702,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9975000023841858,"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":0.8386368155479431},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.6802369356155396},{"id":"https://openalex.org/keywords/ringing-artifacts","display_name":"Ringing artifacts","score":0.6317589282989502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49936747550964355},{"id":"https://openalex.org/keywords/ringing","display_name":"Ringing","score":0.46545296907424927},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4416259825229645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43956267833709717},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.16919460892677307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11584478616714478},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08519583940505981}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8386368155479431},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.6802369356155396},{"id":"https://openalex.org/C17828673","wikidata":"https://www.wikidata.org/wiki/Q7334899","display_name":"Ringing artifacts","level":3,"score":0.6317589282989502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49936747550964355},{"id":"https://openalex.org/C30684385","wikidata":"https://www.wikidata.org/wiki/Q176509","display_name":"Ringing","level":3,"score":0.46545296907424927},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4416259825229645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43956267833709717},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.16919460892677307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11584478616714478},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08519583940505981},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2022.3201747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2022.3201747","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1558520778","display_name":null,"funder_award_id":"62101007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3833898155","display_name":null,"funder_award_id":"62088102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8212228297","display_name":null,"funder_award_id":"62031013","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":39,"referenced_works":["https://openalex.org/W236325360","https://openalex.org/W2008572489","https://openalex.org/W2015246323","https://openalex.org/W2017801928","https://openalex.org/W2043311369","https://openalex.org/W2047080410","https://openalex.org/W2056061164","https://openalex.org/W2057793610","https://openalex.org/W2064674198","https://openalex.org/W2082971750","https://openalex.org/W2120629261","https://openalex.org/W2122086266","https://openalex.org/W2124188622","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2382163890","https://openalex.org/W2510648513","https://openalex.org/W2905471021","https://openalex.org/W2979876251","https://openalex.org/W2981731685","https://openalex.org/W2990751688","https://openalex.org/W2991630191","https://openalex.org/W2998156630","https://openalex.org/W2998916244","https://openalex.org/W2999940418","https://openalex.org/W3000502695","https://openalex.org/W3004887499","https://openalex.org/W3011455794","https://openalex.org/W3013576271","https://openalex.org/W3017123215","https://openalex.org/W3021895009","https://openalex.org/W3043029414","https://openalex.org/W3094314474","https://openalex.org/W3099887184","https://openalex.org/W3104772632","https://openalex.org/W3168404453","https://openalex.org/W3185600053","https://openalex.org/W3193937958","https://openalex.org/W3202918664"],"related_works":["https://openalex.org/W2104708016","https://openalex.org/W2390701595","https://openalex.org/W2090956370","https://openalex.org/W1542850441","https://openalex.org/W2293401449","https://openalex.org/W2095868395","https://openalex.org/W2528053022","https://openalex.org/W2018815104","https://openalex.org/W2016796085","https://openalex.org/W2163761581"],"abstract_inverted_index":{"In":[0,154],"this":[1],"paper,":[2],"we":[3,137],"propose":[4,139],"a":[5,140],"novel":[6],"low-complexity":[7],"in-loop":[8],"filtering":[9,29,141],"approach":[10],"named":[11],"textural":[12,47,98],"and":[13,48,72,85,97,110,185,198,226],"directional":[14,50,96],"information":[15,148],"based":[16,88,120,145],"offset":[17,113,126,142],"(TDIO)":[18],"for":[19,115,170,190],"the":[20,36,46,83,95,111,133,165,178,214,224,235],"video":[21],"coding":[22],"standard":[23],"AVS3.":[24],"Different":[25],"from":[26],"conventional":[27],"offset-based":[28],"methods":[30],"which":[31,58],"partially":[32],"use":[33],"contextual":[34],"samples,":[35],"key":[37],"contribution":[38],"of":[39,52,60,135,168],"TDIO":[40,169,180,205],"is":[41,80,161,206],"that":[42,77,177,223],"it":[43],"fully":[44],"utilizes":[45],"edge":[49],"features":[51],"each":[53,63,116],"sample":[54,64],"to":[55,74,93,132,163,208],"comprehensively":[56],"determine":[57],"type":[59],"texture":[61,217],"characteristics":[62],"belongs":[65],"to.":[66],"The":[67,101],"corresponding":[68],"offsets":[69],"are":[70,90,104,118],"generated":[71],"signaled":[73],"decoder":[75],"such":[76],"sample-level":[78,125],"distortion":[79],"reduced.":[81],"Specifically,":[82],"multi-directionality":[84],"sample-intensity":[86],"pattern":[87],"classifiers":[89],"first":[91],"proposed":[92,179,236],"extract":[94],"features,":[99,109],"respectively.":[100,203],"classification":[102],"results":[103,175],"obtained":[105],"by":[106,212,233],"incorporating":[107],"these":[108],"optimal":[112],"values":[114],"class":[117],"derived":[119],"on":[121,146],"rate-distortion":[122],"optimization.":[123],"Since":[124],"signalling":[127],"may":[128],"cause":[129],"heavy":[130],"burden":[131],"overhead":[134],"TDIO,":[136],"subsequently":[138],"sharing":[143],"mechanism":[144],"historical":[147],"between":[149],"available":[150],"temporal-adjacent":[151],"compressed":[152],"frames.":[153],"addition,":[155],"an":[156],"iteration-based":[157],"filter":[158],"adaptation":[159],"method":[160],"designed":[162],"improve":[164,209],"local":[166,216],"adaptivity":[167],"better":[171],"compression":[172],"efficiency.":[173],"Experimental":[174],"show":[176],"achieves":[181],"0.64%,":[182],"1.29%,":[183],"1.86%,":[184],"2.20%":[186],"bit":[187],"rate":[188],"savings":[189],"all":[191],"intra,":[192],"random":[193],"access,":[194],"low":[195,199],"delay":[196,200],"B,":[197],"P":[201],"configurations,":[202],"Moreover,":[204],"helpful":[207],"subjective":[210,240],"quality":[211],"leveraging":[213],"fine-grained":[215],"characteristics.":[218],"It":[219],"can":[220],"be":[221,230],"observed":[222],"blurring":[225],"ringing":[227],"artifacts":[228],"could":[229],"significantly":[231],"suppressed":[232],"using":[234],"method,":[237],"yielding":[238],"higher":[239],"quality.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}