{"id":"https://openalex.org/W4392910322","doi":"https://doi.org/10.1109/icassp48485.2024.10445837","title":"A Tri-Dynamic Preprocessing Framework for UGC Video Compression","display_name":"A Tri-Dynamic Preprocessing Framework for UGC Video Compression","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392910322","doi":"https://doi.org/10.1109/icassp48485.2024.10445837"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10445837","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10445837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101278546","display_name":"Fei Zhao","orcid":"https://orcid.org/0000-0003-4957-3312"},"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":"Fei Zhao","raw_affiliation_strings":["Peking University,School of Computer Science","School of Computer Science, Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Computer Science","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101980608","display_name":"Mengxi Guo","orcid":"https://orcid.org/0009-0007-9490-6661"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mengxi Guo","raw_affiliation_strings":["Bytedance"],"affiliations":[{"raw_affiliation_string":"Bytedance","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100298354","display_name":"Shijie Zhao","orcid":"https://orcid.org/0000-0002-2268-447X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shijie Zhao","raw_affiliation_strings":["Bytedance"],"affiliations":[{"raw_affiliation_string":"Bytedance","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100712923","display_name":"Junlin Li","orcid":"https://orcid.org/0000-0003-4051-6805"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junlin Li","raw_affiliation_strings":["Bytedance"],"affiliations":[{"raw_affiliation_string":"Bytedance","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425726","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0003-2118-4876"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Bytedance"],"affiliations":[{"raw_affiliation_string":"Bytedance","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077426132","display_name":"Xiaodong Xie","orcid":"https://orcid.org/0000-0002-7747-5819"},"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":"Xiaodong Xie","raw_affiliation_strings":["Peking University,School of Computer Science","School of Computer Science, Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Computer Science","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101278546"],"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":0.03078653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"910","issue":null,"first_page":"7865","last_page":"7869"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9994999766349792,"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":0.8181564807891846},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.8077576160430908},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7030824422836304},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5620349645614624},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5384629964828491},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4919593036174774},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.48514994978904724},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.44639360904693604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3719068765640259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3678768575191498},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2912585735321045},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0963592529296875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8181564807891846},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.8077576160430908},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7030824422836304},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5620349645614624},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5384629964828491},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4919593036174774},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.48514994978904724},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.44639360904693604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3719068765640259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3678768575191498},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2912585735321045},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0963592529296875},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10445837","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10445837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W2038779464","https://openalex.org/W2101700394","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2524365899","https://openalex.org/W2552465432","https://openalex.org/W2785562966","https://openalex.org/W2939995367","https://openalex.org/W2962676454","https://openalex.org/W2963398015","https://openalex.org/W2964098744","https://openalex.org/W2969260367","https://openalex.org/W2984887548","https://openalex.org/W3090989352","https://openalex.org/W3103745061","https://openalex.org/W3135530072","https://openalex.org/W3161269972","https://openalex.org/W3173749647","https://openalex.org/W3179836520","https://openalex.org/W3195893286","https://openalex.org/W6728047685"],"related_works":["https://openalex.org/W2107680156","https://openalex.org/W2163719598","https://openalex.org/W3161919736","https://openalex.org/W2387018512","https://openalex.org/W4301184752","https://openalex.org/W2751422192","https://openalex.org/W1509797384","https://openalex.org/W4298129602","https://openalex.org/W4387445182","https://openalex.org/W2039662546"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"user":[3],"generated":[4],"content":[5],"(UGC)":[6],"has":[7],"become":[8],"the":[9,36,47,84,96],"dominant":[10],"force":[11],"in":[12,46],"internet":[13],"traffic.":[14],"However,":[15],"UGC":[16,51],"videos":[17],"exhibit":[18],"a":[19,59],"higher":[20],"degree":[21],"of":[22,38,50],"variability":[23],"and":[24],"diverse":[25],"characteristics":[26],"compared":[27],"to":[28,71,82,94],"traditional":[29],"encoding":[30,45],"test":[31,104],"videos.":[32],"This":[33],"variance":[34],"challenges":[35],"effectiveness":[37],"data-driven":[39],"machine":[40],"learning":[41],"algorithms":[42],"for":[43,63],"optimizing":[44],"broader":[48],"context":[49],"scenarios.":[52],"To":[53],"address":[54],"this":[55],"issue,":[56],"we":[57,66,88],"propose":[58],"Tri-Dynamic":[60],"Preprocessing":[61],"framework":[62],"UGC.":[64],"Firstly,":[65],"employ":[67],"an":[68,76,90],"adaptive":[69,77,91],"factor":[70],"regulate":[72],"preprocessing":[73],"intensity.":[74],"Secondly,":[75],"quantization":[78],"level":[79],"is":[80],"employed":[81],"fine-tune":[83],"codec":[85],"simulator.":[86],"Thirdly,":[87],"utilize":[89],"lambda":[92],"tradeoff":[93],"adjust":[95],"rate-distortion":[97],"loss":[98],"function.":[99],"Experimental":[100],"results":[101],"on":[102],"large-scale":[103],"sets":[105],"demonstrate":[106],"that":[107],"our":[108],"method":[109],"attains":[110],"exceptional":[111],"performance.":[112]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
