{"id":"https://openalex.org/W7204279715","doi":"https://doi.org/10.1109/tpami.2026.3727894","title":"P4VC: Positive Perturbation based Perceptual Preprocessing Framework for Video Compression","display_name":"P4VC: Positive Perturbation based Perceptual Preprocessing Framework for Video Compression","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7204279715","doi":"https://doi.org/10.1109/tpami.2026.3727894","pmid":"https://pubmed.ncbi.nlm.nih.gov/42647712"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2026.3727894","doi":"https://doi.org/10.1109/tpami.2026.3727894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2026.3727894","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","doyens","jufo-3","medline","norway-2"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"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/A5079385534","display_name":"Mai Xu","orcid":"https://orcid.org/0000-0002-0277-3301","observed_orcids":["https://orcid.org/0000-0002-0277-3301"]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mai Xu","raw_affiliation_strings":["Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103233890","display_name":"Yichen Guo","orcid":"https://orcid.org/0000-0003-3164-9139","observed_orcids":["https://orcid.org/0000-0003-3164-9139"]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichen Guo","raw_affiliation_strings":["Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148343675","display_name":"Shangmou Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangmou Zhang","raw_affiliation_strings":["Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5147125117","display_name":"Lai Jiang","orcid":"https://orcid.org/0000-0002-4639-8136","observed_orcids":["https://orcid.org/0000-0002-4639-8136"]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lai Jiang","raw_affiliation_strings":["Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148291614","display_name":"Xin Deng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Deng","raw_affiliation_strings":["Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5148231852","display_name":"Gaoxing Chen","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gaoxing Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.70500573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"PP","issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9336000084877014,"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":0.9336000084877014,"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":0.046799998730421066,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.01209999993443489,"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/video-compression","display_name":"video compression","score":0.9599999785423279},{"id":"https://openalex.org/keywords/adversarial-perturbations","display_name":"adversarial perturbations","score":0.7369999885559082},{"id":"https://openalex.org/keywords/perceptual-quality","display_name":"perceptual quality","score":0.5299999713897705}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7394000291824341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7057999968528748},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6258000135421753},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5558000206947327},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5501000285148621},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4771000146865845},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.40369999408721924},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.37720000743865967},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.29409998655319214},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28870001435279846}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2026.3727894","doi":"https://doi.org/10.1109/tpami.2026.3727894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2026.3727894","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","doyens","jufo-3","medline","norway-2"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:42647712","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42647712","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Climate action","score":0.658088743686676,"id":"https://metadata.un.org/sdg/13"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2],"deep":[3,69],"learning":[4,170],"have":[5,25],"significantly":[6],"propelled":[7],"the":[8,37,40,60,73,81,109,142,163],"enhancement":[9],"of":[10,39,56,63,75,83],"video":[11,64],"compression":[12,106,189],"frameworks,":[13],"encompassing":[14],"both":[15],"encoder-side":[16],"and":[17,51,79,145,166,179,193],"postprocessing":[18],"methods.":[19],"However,":[20],"these":[21,89],"extensively":[22],"explored":[23],"methodologies":[24],"reached":[26],"their":[27],"limits,":[28],"offering":[29],"diminishing":[30],"returns":[31],"for":[32,68,136],"further":[33],"improvement.":[34],"To":[35,87],"overcome":[36],"constraints":[38],"above":[41],"optimization":[42,85,118,123,148],"patterns,":[43],"we":[44,91],"propose":[45],"to":[46,107,130,156],"step":[47],"beyond":[48],"conventional":[49],"frameworks":[50],"focus":[52],"on":[53],"preprocessing":[54,154,195],"ahead":[55],"compression.":[57],"For":[58],"preprocessing,":[59],"black-box":[61],"nature":[62],"codecs":[65],"introduces":[66],"challenges":[67],"learning-based":[70],"optimization:":[71],"1)":[72,121],"absence":[74],"ground-truth":[76],"preprocessed":[77],"videos,":[78,160],"2)":[80,146],"lack":[82],"end-to-end":[84],"mechanism.":[86],"address":[88],"challenges,":[90],"introduce":[92],"P4VC,":[93],"a":[94,152],"Positive":[95],"Perturbation":[96],"based":[97],"Perceptual":[98],"Preprocessing":[99],"framework":[100],"that":[101,125,150,184],"generates":[102],"adaptive":[103],"perturbations":[104,135,165],"before":[105],"enhance":[108],"rate-perception":[110],"trade-off.":[111],"Specifically,":[112],"P4VC":[113,185],"develops":[114],"an":[115,127],"alternative":[116],"updating":[117],"scheme":[119],"with":[120],"individual":[122],"phase":[124,149],"employs":[126],"attack-based":[128],"method":[129],"generate":[131],"multiple":[132],"codec-friendly":[133],"positive":[134,164],"each":[137],"training":[138],"sample,":[139],"directly":[140],"targeting":[141],"practical":[143],"codec,":[144],"universal":[147],"trains":[151],"lightweight":[153],"network":[155],"generalize":[157],"across":[158,174],"arbitrary":[159],"guided":[161],"by":[162],"developed":[167],"distribution-aware":[168],"adversarial":[169],"scheme.":[171],"Extensive":[172],"experiments":[173],"five":[175],"codecs,":[176],"two":[177],"datasets":[178],"six":[180],"perceptual":[181],"metrics,":[182],"demonstrate":[183],"consistently":[186],"achieves":[187],"significant":[188],"gains,":[190],"superior":[191],"generalization,":[192],"real-time":[194],"at":[196],"241":[197],"FPS.":[198]},"counts_by_year":[],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2026-08-27T00:00:00"}