{"id":"https://openalex.org/W2936322712","doi":"https://doi.org/10.1109/icassp.2019.8683580","title":"Fast Inter-prediction Based on Decision Trees for AV1 Encoding","display_name":"Fast Inter-prediction Based on Decision Trees for AV1 Encoding","publication_year":2019,"publication_date":"2019-04-16","ids":{"openalex":"https://openalex.org/W2936322712","doi":"https://doi.org/10.1109/icassp.2019.8683580","mag":"2936322712"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8683580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 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/A5101700256","display_name":"Jieon Kim","orcid":"https://orcid.org/0000-0002-8234-1532"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jieon Kim","raw_affiliation_strings":["Queen Mary University of London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049715830","display_name":"Saverio Blasi","orcid":null},"institutions":[{"id":"https://openalex.org/I2799978770","display_name":"X-Fab (Germany)","ror":"https://ror.org/030bh9196","country_code":"DE","type":"company","lineage":["https://openalex.org/I2799978770"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Saverio Blasi","raw_affiliation_strings":["BBC R&D, London, UK","BBC R&D, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BBC R&D, London, UK","institution_ids":["https://openalex.org/I2799978770"]},{"raw_affiliation_string":"BBC R&D, London, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102815219","display_name":"Andr\u00e9 Seixas Dias","orcid":"https://orcid.org/0000-0002-6048-1112"},"institutions":[{"id":"https://openalex.org/I2799978770","display_name":"X-Fab (Germany)","ror":"https://ror.org/030bh9196","country_code":"DE","type":"company","lineage":["https://openalex.org/I2799978770"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andre Seixas Dias","raw_affiliation_strings":["BBC R&D, London, UK","BBC R&D, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BBC R&D, London, UK","institution_ids":["https://openalex.org/I2799978770"]},{"raw_affiliation_string":"BBC R&D, London, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083550803","display_name":"Marta Mrak","orcid":"https://orcid.org/0000-0002-7777-0252"},"institutions":[{"id":"https://openalex.org/I2799978770","display_name":"X-Fab (Germany)","ror":"https://ror.org/030bh9196","country_code":"DE","type":"company","lineage":["https://openalex.org/I2799978770"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marta Mrak","raw_affiliation_strings":["BBC R&D, London, UK","BBC R&D, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BBC R&D, London, UK","institution_ids":["https://openalex.org/I2799978770"]},{"raw_affiliation_string":"BBC R&D, London, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058530878","display_name":"Ebroul Izquierdo","orcid":"https://orcid.org/0000-0002-7142-3970"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ebroul Izquierdo","raw_affiliation_strings":["Queen Mary University of London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1452,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77991842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1627","last_page":"1631"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9932000041007996,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9908000230789185,"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":0.7951326370239258},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7701038122177124},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.7308224439620972},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6310133934020996},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6233903169631958},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4882061779499054},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.4812197983264923},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3888680040836334},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32508790493011475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2945896089076996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14064645767211914},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10981228947639465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7951326370239258},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7701038122177124},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7308224439620972},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6310133934020996},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6233903169631958},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4882061779499054},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.4812197983264923},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3888680040836334},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32508790493011475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2945896089076996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14064645767211914},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10981228947639465},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8683580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1498988216","https://openalex.org/W2024066070","https://openalex.org/W2078359196","https://openalex.org/W2101700394","https://openalex.org/W2109024809","https://openalex.org/W2412644628","https://openalex.org/W2883929365","https://openalex.org/W2891639355","https://openalex.org/W2891861116","https://openalex.org/W2951976735","https://openalex.org/W2979673094","https://openalex.org/W3100713000","https://openalex.org/W3104614411","https://openalex.org/W3208867457","https://openalex.org/W6675207249","https://openalex.org/W6769015554","https://openalex.org/W6803020006"],"related_works":["https://openalex.org/W1950940422","https://openalex.org/W4283822356","https://openalex.org/W2129146436","https://openalex.org/W2032507829","https://openalex.org/W2095407248","https://openalex.org/W2147282173","https://openalex.org/W2366163563","https://openalex.org/W1997714924","https://openalex.org/W2163885456","https://openalex.org/W2129190845"],"abstract_inverted_index":{"The":[0],"AOMedia":[1],"Video":[2],"1":[3],"(AV1)":[4],"standard":[5,45],"can":[6,70,115],"achieve":[7],"considerable":[8],"compression":[9],"efficiency":[10],"thanks":[11],"to":[12,73,86,90,101],"the":[13,30,41,44,103,112,117,128],"usage":[14],"of":[15,32,36,43,67],"many":[16],"advanced":[17,23],"tools":[18],"and":[19,99],"improvements,":[20],"such":[21,60],"as":[22],"inter-prediction":[24],"modes.":[25,94],"However,":[26],"these":[27],"come":[28],"at":[29],"cost":[31],"high":[33],"computational":[34],"complexity":[35],"encoder,":[37],"which":[38,62],"may":[39],"limit":[40],"benefits":[42],"in":[46],"practical":[47],"applications.":[48],"This":[49],"paper":[50],"shows":[51],"that":[52,64,111],"not":[53],"all":[54,59,92],"sequences":[55],"benefit":[56],"from":[57],"using":[58],"modes,":[61],"indicates":[63],"a":[65],"number":[66],"encoder":[68],"optimisations":[69],"be":[71],"introduced":[72],"speed":[74],"up":[75],"AV1":[76],"encoding.":[77],"A":[78],"method":[79,114],"based":[80],"on":[81,120,127],"decision":[82,104],"trees":[83],"is":[84],"proposed":[85,113],"selectively":[87],"decide":[88],"whether":[89],"test":[91],"inter":[93],"Appropriate":[95],"features":[96],"are":[97],"extracted":[98],"used":[100],"perform":[102],"for":[105],"each":[106],"block.":[107],"Experimental":[108],"results":[109],"show":[110],"reduce":[116],"encoding":[118],"time":[119],"average":[121],"by":[122],"43.4%":[123],"with":[124],"limited":[125],"impact":[126],"coding":[129],"efficiency.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}