{"id":"https://openalex.org/W4400231813","doi":"https://doi.org/10.1109/iscas58744.2024.10558129","title":"CTU-Level Adaptive Quantization Method Joint with GOP based Temporal Filter for Video Coding","display_name":"CTU-Level Adaptive Quantization Method Joint with GOP based Temporal Filter for Video Coding","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400231813","doi":"https://doi.org/10.1109/iscas58744.2024.10558129"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10558129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100317082","display_name":"Chenlong He","orcid":"https://orcid.org/0009-0002-2721-5709"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenlong He","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318193","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-4486-8341"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023108164","display_name":"Xiaoxiang Chen","orcid":"https://orcid.org/0000-0002-3171-9945"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxiang Chen","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044357493","display_name":"Zhijian Hao","orcid":"https://orcid.org/0000-0002-7892-5973"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijian Hao","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101627561","display_name":"Chao Liu","orcid":"https://orcid.org/0000-0003-1048-9105"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Liu","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656792","display_name":"Xiaoyang Zeng","orcid":"https://orcid.org/0000-0003-3986-137X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyang Zeng","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085004179","display_name":"Yibo Fan","orcid":"https://orcid.org/0000-0003-2523-8261"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibo Fan","raw_affiliation_strings":["Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.5259,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66882324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"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/T10901","display_name":"Advanced Data Compression 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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9909999966621399,"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":0.9797999858856201,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8015561103820801},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6593595147132874},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6290990114212036},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5396729707717896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46445131301879883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37209224700927734},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.351305216550827},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32853156328201294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10999700427055359},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08189710974693298},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.057748943567276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8015561103820801},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6593595147132874},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6290990114212036},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5396729707717896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46445131301879883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37209224700927734},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.351305216550827},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32853156328201294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10999700427055359},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08189710974693298},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.057748943567276},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas58744.2024.10558129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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":10,"referenced_works":["https://openalex.org/W2101700394","https://openalex.org/W2117532751","https://openalex.org/W2146395539","https://openalex.org/W2903935085","https://openalex.org/W2979990382","https://openalex.org/W3091654287","https://openalex.org/W3202918664","https://openalex.org/W4316660329","https://openalex.org/W6675207249","https://openalex.org/W6769015554"],"related_works":["https://openalex.org/W1996130883","https://openalex.org/W2748574964","https://openalex.org/W2888483922","https://openalex.org/W4396737233","https://openalex.org/W2367747139","https://openalex.org/W2979160909","https://openalex.org/W4391102217","https://openalex.org/W2114837856","https://openalex.org/W2566187525","https://openalex.org/W2566334511"],"abstract_inverted_index":{"Both":[0],"Versatile":[1],"Video":[2,8],"Coding":[3,9,94],"(VVC)":[4],"and":[5,137,156],"High":[6],"Efficiency":[7],"(HEVC)":[10],"introduce":[11,92],"Group":[12],"of":[13,41,60,88,130,152],"Pictures":[14],"(GOP)":[15],"based":[16],"temporal":[17],"filter":[18,62],"(GBTF)":[19],"as":[20],"a":[21,38,93],"pre-filter":[22],"to":[23,33,68,106],"improve":[24,49],"compression":[25,50,86,109],"performance.":[26,51],"While":[27],"numerous":[28],"efforts":[29],"have":[30,55],"been":[31],"made":[32],"optimize":[34],"GBTF,":[35],"there":[36],"is":[37],"limited":[39],"amount":[40],"research":[42],"that":[43],"explicitly":[44],"addresses":[45],"why":[46],"GBTF":[47,105],"could":[48],"Additionally,":[52],"most":[53],"optimizations":[54],"focused":[56],"on":[57,66],"the":[58,61,81,84],"design":[59],"itself,":[63],"rather":[64],"than":[65],"how":[67],"better":[69],"integrate":[70],"it":[71],"with":[72,104],"other":[73],"encoding":[74],"tools.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79,91],"analyze":[80],"reasons":[82],"behind":[83],"superior":[85],"performance":[87,110],"GBTF.":[89],"Subsequently,":[90],"Tree":[95],"Unit":[96],"(CTU)-level":[97],"adaptive":[98],"quantization":[99],"parameter":[100],"allocation":[101],"method":[102,122,148],"joint":[103],"further":[107],"enhance":[108],"for":[111,119,132,139,145,154,158],"video":[112],"coding.":[113],"The":[114],"experimental":[115],"results":[116],"demonstrate":[117],"that,":[118],"VVC,":[120],"our":[121,147],"provides":[123,149],"Bjontegaard":[124],"delta":[125],"bit":[126],"rate":[127],"(BD-BR)":[128],"savings":[129,151],"2.0%":[131],"Peak":[133],"Signal-to-Noise":[134],"Ratio":[135],"(PSNR)":[136],"4.0%":[138],"Structural":[140],"Similarity":[141],"index":[142],"(SSIM).":[143],"Furthermore,":[144],"HEVC,":[146],"BD-BR":[150],"3.5%":[153],"PSNR":[155],"7.6%":[157],"SSIM.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
