{"id":"https://openalex.org/W4411725067","doi":"https://doi.org/10.1109/iscas56072.2025.11044111","title":"Advanced Learning-Based Coding Tools for ECM: Intra Prediction and In-Loop Filtering","display_name":"Advanced Learning-Based Coding Tools for ECM: Intra Prediction and In-Loop Filtering","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411725067","doi":"https://doi.org/10.1109/iscas56072.2025.11044111"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11044111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11044111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5001124113","display_name":"Yanchen Zhao","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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanchen Zhao","raw_affiliation_strings":["Peking University,School of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Computer Science,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103061829","display_name":"Jiaye Fu","orcid":"https://orcid.org/0009-0000-5409-6050"},"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":"Jiaye Fu","raw_affiliation_strings":["Peking University,School of Electronic and Computer Engineering,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Electronic and Computer Engineering,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726727","display_name":"Zhaoyu Li","orcid":"https://orcid.org/0000-0002-5222-6832"},"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":"Zhaoyu Li","raw_affiliation_strings":["Peking University,School of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Computer Science,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076228855","display_name":"Qizhe 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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qizhe Wang","raw_affiliation_strings":["Peking University,School of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Computer Science,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031637081","display_name":"Zhimeng Huang","orcid":"https://orcid.org/0000-0001-8026-9349"},"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":"Zhimeng Huang","raw_affiliation_strings":["Peking University,School of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Computer Science,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349810","display_name":"Jiaqi Zhang","orcid":"https://orcid.org/0000-0001-7040-704X"},"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":"Jiaqi Zhang","raw_affiliation_strings":["Peking University,School of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Computer Science,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":["Peking University,Wangxuan Institute of Computer Technology,China"],"affiliations":[{"raw_affiliation_string":"Peking University,Wangxuan Institute of Computer Technology,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Ma","raw_affiliation_strings":["Peking University,School of Computer Science,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Computer Science,China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5001124113"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08158721,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9724000096321106,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9623000025749207,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.7314333915710449},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6639841198921204},{"id":"https://openalex.org/keywords/loop","display_name":"Loop (graph theory)","score":0.5887939929962158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4485345482826233},{"id":"https://openalex.org/keywords/feedback-loop","display_name":"Feedback loop","score":0.426815927028656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37728679180145264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08271610736846924},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0767163634300232}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7314333915710449},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6639841198921204},{"id":"https://openalex.org/C184670325","wikidata":"https://www.wikidata.org/wiki/Q512604","display_name":"Loop (graph theory)","level":2,"score":0.5887939929962158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4485345482826233},{"id":"https://openalex.org/C186886427","wikidata":"https://www.wikidata.org/wiki/Q5441213","display_name":"Feedback loop","level":2,"score":0.426815927028656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37728679180145264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08271610736846924},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0767163634300232},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11044111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11044111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":16,"referenced_works":["https://openalex.org/W2146395539","https://openalex.org/W2741137940","https://openalex.org/W2913664580","https://openalex.org/W2935381027","https://openalex.org/W2943766642","https://openalex.org/W2968469126","https://openalex.org/W3013522332","https://openalex.org/W3090654092","https://openalex.org/W3164947665","https://openalex.org/W3202918664","https://openalex.org/W4220715488","https://openalex.org/W4292415545","https://openalex.org/W4385494072","https://openalex.org/W4401878721","https://openalex.org/W6631190155","https://openalex.org/W6855868963"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Neural":[0],"Network":[1],"(NN)-based":[2],"video":[3,23,31],"coding":[4,24,32,53],"technologies":[5],"have":[6],"emerged":[7],"as":[8],"a":[9,29,136],"promising":[10],"alternative":[11],"to":[12,78,123],"traditional":[13],"methods,":[14],"demonstrating":[15],"significant":[16],"advantages":[17],"amidst":[18],"the":[19,36,43,56,59,68,76,89,102,117,126,131],"rapid":[20],"advancements":[21],"in":[22],"technology.":[25],"This":[26],"paper":[27],"presents":[28],"hybrid":[30],"method":[33,65,86,133],"based":[34],"on":[35],"Enhanced":[37],"Compression":[38],"Model":[39],"(ECM)":[40],"developed":[41],"by":[42],"Joint":[44],"Video":[45],"Exploration":[46],"Team":[47],"(JVET).":[48],"We":[49],"integrate":[50],"two":[51],"NN-based":[52,61,82],"tools":[54],"into":[55],"framework.":[57],"Specifically,":[58],"proposed":[60,132],"Intra":[62,119],"Prediction":[63],"(NNIP)":[64],"effectively":[66],"models":[67],"nonlinear":[69],"relationship":[70],"between":[71],"neighboring":[72],"contextual":[73],"information":[74],"and":[75,91,104,109],"block":[77],"be":[79],"predicted.":[80],"The":[81],"In-Loop":[83],"Filtering":[84],"(NNILF)":[85],"adaptively":[87],"filters":[88],"luminance":[90],"chrominance":[92],"components":[93,115],"across":[94],"various":[95],"quality":[96],"levels.":[97],"Experimental":[98],"results":[99],"show":[100],"that":[101],"NNIP":[103],"NNILF":[105],"methods":[106],"achieve":[107,135],"0.56%":[108],"4.14%":[110],"BD-rate":[111,138],"savings":[112],"for":[113,140],"YCbCr":[114,141],"under":[116],"All":[118],"(AI)":[120],"configuration":[121],"compared":[122],"ECM-14.0.":[124],"Under":[125],"Random":[127],"Access":[128],"(RA)":[129],"configuration,":[130],"can":[134],"2.41%":[137],"saving":[139],"components.":[142]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
