{"id":"https://openalex.org/W7161140574","doi":"https://doi.org/10.1109/dcc66757.2026.00032","title":"Transform Domain Block and Reference Frame Prediction with Adaptive Predictor Coefficients","display_name":"Transform Domain Block and Reference Frame Prediction with Adaptive Predictor Coefficients","publication_year":2026,"publication_date":"2026-03-24","ids":{"openalex":"https://openalex.org/W7161140574","doi":"https://doi.org/10.1109/dcc66757.2026.00032"},"language":null,"primary_location":{"id":"doi:10.1109/dcc66757.2026.00032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc66757.2026.00032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Data Compression Conference (DCC)","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/A5059783765","display_name":"Zeyu Deng","orcid":"https://orcid.org/0000-0003-0109-9367"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zeyu Deng","raw_affiliation_strings":["University of California Santa Barbara,Dept. of Electrical and Computer Engineering,Santa Barbara,CA,USA,93106"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Santa Barbara,Dept. of Electrical and Computer Engineering,Santa Barbara,CA,USA,93106","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136108300","display_name":"Bohan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bohan Li","raw_affiliation_strings":["Google LLC.,Mountain View,CA,USA,94043"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google LLC.,Mountain View,CA,USA,94043","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136180222","display_name":"Dharmesh Mohanraj","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dharmesh Mohanraj","raw_affiliation_strings":["University of California Santa Barbara,Dept. of Electrical and Computer Engineering,Santa Barbara,CA,USA,93106"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Santa Barbara,Dept. of Electrical and Computer Engineering,Santa Barbara,CA,USA,93106","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084578296","display_name":"Kenneth Rose","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenneth Rose","raw_affiliation_strings":["University of California Santa Barbara,Dept. of Electrical and Computer Engineering,Santa Barbara,CA,USA,93106"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Santa Barbara,Dept. of Electrical and Computer Engineering,Santa Barbara,CA,USA,93106","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059783765"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.94366232,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"243","last_page":"252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.07840000092983246,"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":0.07840000092983246,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.07580000162124634,"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/T10860","display_name":"Speech and Audio Processing","score":0.06019999831914902,"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/block","display_name":"Block (permutation group theory)","score":0.5482000112533569},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4794999957084656},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4528000056743622},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.3138999938964844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3100999891757965},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.30640000104904175}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5526000261306763},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5482000112533569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5325000286102295},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4794999957084656},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4528000056743622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3874000012874603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37869998812675476},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.3138999938964844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.30640000104904175},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.27720001339912415},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc66757.2026.00032","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc66757.2026.00032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Data Compression Conference (DCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.4842076003551483,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Block":[0],"prediction":[1,57,103],"and":[2,14,153,180],"reference":[3,32,50],"frame":[4,178],"generation":[5,47],"play":[6],"a":[7],"central":[8],"role":[9],"in":[10,36,71,84,143,168],"contemporary":[11],"video":[12,41],"codecs":[13,42],"hold":[15],"significant":[16],"potential":[17],"for":[18,99,113,122,138],"improving":[19],"compression":[20],"efficiency.":[21],"For":[22],"motion":[23,73],"vectors":[24,70],"of":[25,48,184],"varying":[26],"reliability,":[27],"directly":[28],"averaging":[29],"the":[30,46,54,64,68,72,76,100,128,151,165,172,182],"bi-directional":[31],"blocks":[33,146],"introduces":[34],"noise":[35],"block":[37,65,78,114],"prediction.":[38,115],"In":[39],"advanced":[40],"such":[43],"as":[44],"AV2,":[45],"co-located":[49],"frames":[51],"(CLRFs)":[52],"within":[53],"temporal":[55,102,130],"interpolated":[56],"(TIP)":[58],"module":[59,167],"is":[60,89,141],"also":[61],"performed":[62],"at":[63],"level.":[66],"However,":[67],"imprecise":[69],"field":[74],"cause":[75],"associated":[77],"pairs":[79],"to":[80,126,149,177],"exhibit":[81],"weak":[82],"correlation":[83],"their":[85],"high-frequency":[86],"components,":[87],"which":[88,144],"not":[90],"addressed":[91],"by":[92],"existing":[93],"methods.":[94],"This":[95,106],"creates":[96],"an":[97,109],"opportunity":[98],"transformdomain":[101],"(TDTP)":[104],"approach.":[105],"work":[107],"proposes":[108],"adaptive":[110,134],"TDTP":[111],"framework":[112],"Independent":[116],"linear":[117,139],"predictors":[118,140],"(LPs)":[119],"are":[120,147],"trained":[121],"each":[123],"AC":[124],"coefficient":[125],"estimate":[127],"corresponding":[129],"correlation.":[131],"A":[132],"novel":[133],"backward":[135],"updating":[136],"scheme":[137],"employed,":[142],"reconstructed":[145],"used":[148],"update":[150],"statistics":[152,179],"refine":[154],"LP":[155],"parameters":[156],"without":[157],"introducing":[158],"additional":[159],"bitrate":[160],"overhead.":[161],"Simulation":[162],"results":[163],"on":[164],"TIP":[166],"AV2":[169],"demonstrate":[170],"that":[171],"proposed":[173],"approach":[174],"effectively":[175],"adapts":[176],"enhances":[181],"efficiency":[183],"compound":[185],"inter-prediction.":[186]},"counts_by_year":[],"updated_date":"2026-05-16T06:04:12.930555","created_date":"2026-05-15T00:00:00"}