{"id":"https://openalex.org/W2567250942","doi":"https://doi.org/10.2352/issn.2470-1173.2016.2.vipc-236","title":"Machine Learning-based Early Termination in Prediction Block Decomposition for VP9","display_name":"Machine Learning-based Early Termination in Prediction Block Decomposition for VP9","publication_year":2016,"publication_date":"2016-02-14","ids":{"openalex":"https://openalex.org/W2567250942","doi":"https://doi.org/10.2352/issn.2470-1173.2016.2.vipc-236","mag":"2567250942"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2016.2.vipc-236","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.2.vipc-236","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5102997681","display_name":"Xintong Han","orcid":"https://orcid.org/0000-0003-2842-1803"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xintong Han","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110817778","display_name":"Yunqing Wang","orcid":"https://orcid.org/0000-0002-2164-0766"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunqing Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103766279","display_name":"Yaowu Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaowu Xu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5059093719","display_name":"Jim Bankoski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jim Bankoski","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102997681"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3153,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60710927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"28","issue":"2","first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.8043000102043152,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.8043000102043152,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.7669000029563904,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.6736000180244446,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5473598837852478},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.48269104957580566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38944584131240845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.382495254278183},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.2533910870552063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15371346473693848}],"concepts":[{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5473598837852478},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.48269104957580566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38944584131240845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.382495254278183},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.2533910870552063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15371346473693848},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2352/issn.2470-1173.2016.2.vipc-236","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.2.vipc-236","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},{"id":"mag:2567250942","is_oa":false,"landing_page_url":"https://ist.publisher.ingentaconnect.com/contentone/ist/ei/2016/00002016/00000002/art00006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"VP9":[0],"is":[1,109,181],"an":[2,133],"open-source":[3],"video":[4],"codec":[5],"released":[6],"by":[7,115,121],"Google.":[8],"It":[9],"introduces":[10],"superblocks":[11],"(SBs)":[12],"of":[13,54,80,129,166],"size":[14],"64":[15],"×":[16,33],"64,":[17],"and":[18,147],"uses":[19],"a":[20,38,66,92,102],"recursive":[21],"decomposition":[22],"scheme":[23],"to":[24,31,97,140],"break":[25],"them":[26],"all":[27],"the":[28,55,72,78,81,87,116,126,130,142,159,164],"way":[29],"down":[30],"4":[32,34],"blocks.":[35,62],"This":[36,63],"provides":[37],"large":[39,48],"efficiency":[40],"gain":[41],"for":[42,183],"VP9.":[43],"However,":[44],"it":[45],"also":[46],"brings":[47],"computational":[49],"complexity":[50,165],"when":[51],"encoding":[52,185],"because":[53],"rate":[56,180],"distortion":[57],"(RD)":[58],"optimization":[59,134],"on":[60,77,153],"prediction":[61,168],"paper":[64],"proposes":[65],"method":[67,161],"that":[68,158],"can":[69,137,162],"early":[70,88],"terminate":[71],"block":[73],"partitioning":[74,167],"process":[75],"based":[76],"information":[79],"current":[82],"block.":[83],"We":[84],"first":[85],"model":[86,125],"termination":[89],"decision":[90],"as":[91,132],"binary":[93],"classification":[94,100],"problem.":[95],"Second,":[96],"solve":[98],"this":[99],"problem,":[101,135],"weighted":[103],"linear":[104],"Support":[105],"Vector":[106],"Machine":[107],"(SVM)":[108],"trained":[110],"whose":[111],"weights":[112],"are":[113],"determined":[114],"RD":[117,148],"cost":[118,149],"increase":[119],"caused":[120],"misclassification.":[122],"Finally,":[123],"we":[124],"parameter":[127],"selection":[128],"SVM":[131],"which":[136],"enable":[138],"us":[139],"control":[141],"trade-off":[143],"between":[144],"time":[145,186],"saving":[146],"increase.":[150],"Experimental":[151],"results":[152],"standard":[154],"HD":[155],"data":[156],"shows":[157],"proposed":[160],"reduce":[163],"blocks":[169],"while":[170],"maintaining":[171],"comparable":[172],"coding":[173],"performance":[174],"-":[175],"The":[176],"Bjøntegaard":[177],"delta":[178],"bit":[179],"∼1.2%":[182],"∼30%":[184],"reduction.":[187]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}