{"id":"https://openalex.org/W4206327533","doi":"https://doi.org/10.1109/vcip53242.2021.9675407","title":"A Bottom-up Fast CU Partition Scoring Mechanism for AVS3","display_name":"A Bottom-up Fast CU Partition Scoring Mechanism for AVS3","publication_year":2021,"publication_date":"2021-12-05","ids":{"openalex":"https://openalex.org/W4206327533","doi":"https://doi.org/10.1109/vcip53242.2021.9675407"},"language":"en","primary_location":{"id":"doi:10.1109/vcip53242.2021.9675407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip53242.2021.9675407","pdf_url":null,"source":{"id":"https://openalex.org/S4363608378","display_name":"2021 International Conference on Visual Communications and Image Processing (VCIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Visual Communications and Image Processing (VCIP)","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/A5100736544","display_name":"Shiyi Liu","orcid":"https://orcid.org/0000-0002-0990-5303"},"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":"Shiyi Liu","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/A5100344944","display_name":"Zhenyu Wang","orcid":"https://orcid.org/0000-0002-2814-1708"},"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":"Zhenyu Wang","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/A5069414038","display_name":"Ke Qiu","orcid":"https://orcid.org/0009-0005-7508-8558"},"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":"Ke Qiu","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/A5100759135","display_name":"Jiayu Yang","orcid":"https://orcid.org/0000-0001-5102-1002"},"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":"Jiayu Yang","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":"last","author":{"id":"https://openalex.org/A5050071143","display_name":"Ronggang Wang","orcid":"https://orcid.org/0000-0003-0873-0465"},"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":"Ronggang Wang","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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100736544"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.1721,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42261104,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"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/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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9965000152587891,"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/T11439","display_name":"Video Analysis and Summarization","score":0.994700014591217,"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":0.7048162817955017},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.696879506111145},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6506099104881287},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.5690878629684448},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.5358008146286011},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4867860972881317},{"id":"https://openalex.org/keywords/partition-problem","display_name":"Partition problem","score":0.4618816077709198},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.23177802562713623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19602569937705994},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1147899329662323}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7048162817955017},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.696879506111145},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6506099104881287},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.5690878629684448},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.5358008146286011},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4867860972881317},{"id":"https://openalex.org/C35995877","wikidata":"https://www.wikidata.org/wiki/Q1065968","display_name":"Partition problem","level":3,"score":0.4618816077709198},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.23177802562713623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19602569937705994},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1147899329662323},{"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/vcip53242.2021.9675407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip53242.2021.9675407","pdf_url":null,"source":{"id":"https://openalex.org/S4363608378","display_name":"2021 International Conference on Visual Communications and Image Processing (VCIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5426793764","display_name":null,"funder_award_id":"GXWD20201231165807007-20200806163656003","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"},{"id":"https://openalex.org/G5719315734","display_name":null,"funder_award_id":"62072013,61902008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7064737060","display_name":null,"funder_award_id":"JCYJ20180503182128089,201806080921419290","funder_id":"https://openalex.org/F4320329801","funder_display_name":"Shenzhen Research and Development Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null},{"id":"https://openalex.org/F4320329801","display_name":"Shenzhen Research and Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W236325360","https://openalex.org/W2001706548","https://openalex.org/W2013875322","https://openalex.org/W2101700394","https://openalex.org/W2146395539","https://openalex.org/W2169161136","https://openalex.org/W2946413436","https://openalex.org/W2970920603","https://openalex.org/W2972043109","https://openalex.org/W2998765227","https://openalex.org/W3035756607","https://openalex.org/W3035784627","https://openalex.org/W3100092454","https://openalex.org/W3120370129","https://openalex.org/W3162424434","https://openalex.org/W6675207249"],"related_works":["https://openalex.org/W1549987457","https://openalex.org/W2025912669","https://openalex.org/W1977789739","https://openalex.org/W2014615094","https://openalex.org/W2047470742","https://openalex.org/W2351778335","https://openalex.org/W2497180562","https://openalex.org/W2379495598","https://openalex.org/W2767131998","https://openalex.org/W2271827173"],"abstract_inverted_index":{"The":[0,93,113,145],"third":[1],"generation":[2],"of":[3,24,39,57,84,104,155],"Audio":[4],"Video":[5,18],"Coding":[6,19],"Standard":[7],"(AVS3)":[8],"achieves":[9],"22%":[10],"coding":[11],"performance":[12],"improvement":[13,23],"compared":[14],"with":[15,125,137],"High":[16],"Efficiency":[17],"(HEVC).":[20],"However,":[21],"the":[22,37,53,58,72,78,82,98,105,118,149,152,160],"encoding":[25,42],"efficiency":[26],"comes":[27],"from":[28,77],"a":[29,47,67,85],"more":[30],"flexible":[31],"block":[32],"partition":[33,60,86,106],"scheme":[34],"is":[35,108],"at":[36],"cost":[38],"much":[40],"higher":[41],"complexity.":[43],"This":[44],"paper":[45],"proposes":[46],"bottom-up":[48],"fast":[49],"algorithm":[50],"to":[51,80,88,96,148],"prune":[52],"time-consuming":[54],"search":[55],"process":[56],"CU":[59],"tree.":[61],"To":[62],"be":[63,89],"specific,":[64],"we":[65],"design":[66],"scoring":[68],"mechanism":[69],"based":[70],"on":[71],"splitting":[73],"patterns":[74],"traced":[75],"back":[76],"bottom":[79],"predict":[81],"possibility":[83],"type":[87,107],"selected":[90],"as":[91],"optimal.":[92],"score":[94],"threshold":[95],"skip":[97],"exhaustive":[99],"Rate-Distortion":[100],"Optimization":[101],"(RDO)":[102],"procedure":[103],"determined":[109],"by":[110,151,159],"statistical":[111],"analysis.":[112],"experimental":[114],"results":[115],"show":[116],"that":[117],"proposed":[119],"methods":[120],"can":[121],"achieve":[122],"24.56%":[123],"time-saving":[124],"0.37%":[126],"BDBR":[127,139],"loss":[128,140],"under":[129,141],"Random":[130],"Access":[131],"configuration":[132],"and":[133],"12.50%":[134],"complexity":[135],"reduction":[136],"0.08%":[138],"All":[142],"Intra":[143],"configuration.":[144],"effectiveness":[146],"leads":[147],"adoption":[150],"open-source":[153],"platform":[154],"AVS3":[156],"after":[157],"evaluated":[158],"AVS":[161],"working":[162],"group.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
