{"id":"https://openalex.org/W4409660334","doi":"https://doi.org/10.1109/lascas64004.2025.10966330","title":"Fast-OMRA: Fast Online Motion Resolution Adaptation for Neural B-Frame Coding","display_name":"Fast-OMRA: Fast Online Motion Resolution Adaptation for Neural B-Frame Coding","publication_year":2025,"publication_date":"2025-02-25","ids":{"openalex":"https://openalex.org/W4409660334","doi":"https://doi.org/10.1109/lascas64004.2025.10966330"},"language":"en","primary_location":{"id":"doi:10.1109/lascas64004.2025.10966330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lascas64004.2025.10966330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 16th Latin America Symposium on Circuits and Systems (LASCAS)","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/A5077230902","display_name":"Sang NguyenQuang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sang NguyenQuang","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Department of Computer Science,Hsinchu,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Department of Computer Science,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109669170","display_name":"Zong-Lin Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Zong-Lin Gao","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Department of Computer Science,Hsinchu,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Department of Computer Science,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112608315","display_name":"K. M. Ho","orcid":"https://orcid.org/0009-0000-6988-5642"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Wei Ho","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Department of Computer Science,Hsinchu,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Department of Computer Science,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022703513","display_name":"Xiem HoangVan","orcid":"https://orcid.org/0000-0002-7524-6529"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiem HoangVan","raw_affiliation_strings":["VNU University of Engineering and Technology,Faculty of Electronics and Telecommunications,Hanoi,Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VNU University of Engineering and Technology,Faculty of Electronics and Telecommunications,Hanoi,Vietnam","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071531458","display_name":"Wen-Hsiao Peng","orcid":"https://orcid.org/0000-0002-4421-8031"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Hsiao Peng","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Department of Computer Science,Hsinchu,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Department of Computer Science,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78242785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9754999876022339,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.964900016784668,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6941348314285278},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.661277174949646},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.499422550201416},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.480212539434433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4482210576534271},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.44700315594673157},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40153539180755615},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12558674812316895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10091030597686768},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08408105373382568}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6941348314285278},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.661277174949646},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.499422550201416},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.480212539434433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4482210576534271},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.44700315594673157},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40153539180755615},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12558674812316895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10091030597686768},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08408105373382568},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lascas64004.2025.10966330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lascas64004.2025.10966330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 16th Latin America Symposium on Circuits and Systems (LASCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2511458122","https://openalex.org/W2769654144","https://openalex.org/W2963189365","https://openalex.org/W2963351448","https://openalex.org/W2969260367","https://openalex.org/W3013522332","https://openalex.org/W3018065762","https://openalex.org/W3031546776","https://openalex.org/W3173272744","https://openalex.org/W4205541964","https://openalex.org/W4206355076","https://openalex.org/W4214743248","https://openalex.org/W4285483958","https://openalex.org/W4385486412","https://openalex.org/W4386065808","https://openalex.org/W4400578896","https://openalex.org/W4402772372","https://openalex.org/W4402915477","https://openalex.org/W4402916905","https://openalex.org/W6769015554","https://openalex.org/W6870231895"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W1526712007","https://openalex.org/W1533421371","https://openalex.org/W2003050223","https://openalex.org/W2091777911","https://openalex.org/W2766405861","https://openalex.org/W2360975119","https://openalex.org/W2912421143"],"abstract_inverted_index":{"Most":[0],"learned":[1],"B-frame":[2,166],"codecs":[3],"with":[4,139],"hierarchical":[5],"temporal":[6],"prediction":[7],"suffer":[8],"from":[9],"the":[10,16,19,30,60,77,94,101,120,144,147,161,165,178],"domain":[11,47],"shift":[12,48],"issue":[13,49],"caused":[14],"by":[15],"discrepancy":[17],"in":[18],"Group-of-Pictures":[20],"(GOP)":[21],"size":[22],"used":[23],"for":[24,55,123],"training":[25],"and":[26,96,112,131],"test.":[27],"As":[28],"such,":[29],"motion":[31,39,56,127],"estimation":[32,128],"network":[33],"may":[34],"fail":[35],"to":[36,44,51,75,99,163,177],"predict":[37,100],"large":[38],"properly.":[40],"One":[41],"effective":[42],"strategy":[43],"mitigate":[45],"this":[46],"is":[50,137],"downsample":[52],"video":[53],"frames":[54],"estimation.":[57],"However,":[58],"finding":[59],"optimal":[61],"downsampling":[62,78,103,152],"factor":[63],"involves":[64],"a":[65,82],"time-consuming":[66],"rate-distortion":[67,148],"optimization":[68],"process.":[69],"This":[70],"work":[71],"introduces":[72],"lightweight":[73],"classifiers":[74,87],"determine":[76],"factor.":[79,104],"To":[80],"strike":[81],"good":[83],"rate-distortion-complexity":[84],"trade-off,":[85],"our":[86],"observe":[88],"simple":[89],"state":[90],"signals,":[91],"including":[92],"only":[93],"coding":[95,175],"reference":[97],"frames,":[98],"best":[102],"We":[105],"present":[106],"two":[107],"variants":[108,155],"that":[109,171],"adopt":[110],"binary":[111,117],"multi-class":[113,135],"classifiers,":[114],"respectively.":[115],"The":[116],"classifier":[118,136],"adopts":[119],"Focal":[121],"Loss":[122],"training,":[124],"classifying":[125],"between":[126],"at":[129],"high":[130],"low":[132],"resolutions.":[133],"Our":[134],"trained":[138],"novel":[140],"soft":[141],"labels":[142],"incorporating":[143],"knowledge":[145],"of":[146,150],"costs":[149],"different":[151],"factors.":[153],"Both":[154],"operate":[156],"as":[157],"add-on":[158],"modules":[159],"without":[160],"need":[162],"re-train":[164],"codec.":[167],"Experimental":[168],"results":[169],"confirm":[170],"they":[172],"achieve":[173],"comparable":[174],"performance":[176],"brute-force":[179],"search":[180],"methods":[181],"while":[182],"greatly":[183],"reducing":[184],"computational":[185],"complexity.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}