{"id":"https://openalex.org/W7147322436","doi":"https://doi.org/10.1109/lascas67804.2026.11457076","title":"FastMIP-360: A Lightweight Decision Tree for Pruning VVC MIP in 360\u00b0 Videos","display_name":"FastMIP-360: A Lightweight Decision Tree for Pruning VVC MIP in 360\u00b0 Videos","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7147322436","doi":"https://doi.org/10.1109/lascas67804.2026.11457076"},"language":null,"primary_location":{"id":"doi:10.1109/lascas67804.2026.11457076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lascas67804.2026.11457076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 17th Latin America Symposium on Circuits and System (LASCAS)","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/A5132711233","display_name":"Franklin Oliveira","orcid":null},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Franklin Oliveira","raw_affiliation_strings":["Federal University of Pelotas (UFPel),Video Technology Research Group (ViTech)"],"affiliations":[{"raw_affiliation_string":"Federal University of Pelotas (UFPel),Video Technology Research Group (ViTech)","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132554267","display_name":"Rog\u00e9rio Cassanta","orcid":null},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rog\u00e9rio Cassanta","raw_affiliation_strings":["Federal University of Pelotas (UFPel),Video Technology Research Group (ViTech)"],"affiliations":[{"raw_affiliation_string":"Federal University of Pelotas (UFPel),Video Technology Research Group (ViTech)","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012082409","display_name":"Iago Storch","orcid":"https://orcid.org/0000-0003-1833-0772"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Iago Storch","raw_affiliation_strings":["Federal University of Pelotas (UFPel),Video Technology Research Group (ViTech)"],"affiliations":[{"raw_affiliation_string":"Federal University of Pelotas (UFPel),Video Technology Research Group (ViTech)","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5132561619","display_name":"Luciano Agostini","orcid":null},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luciano Agostini","raw_affiliation_strings":["Federal University of Pelotas (UFPel),Video Technology Research Group (ViTech)"],"affiliations":[{"raw_affiliation_string":"Federal University of Pelotas (UFPel),Video Technology Research Group (ViTech)","institution_ids":["https://openalex.org/I169248161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5132711233"],"corresponding_institution_ids":["https://openalex.org/I169248161"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.94206696,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"05"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.7239000201225281,"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":0.7239000201225281,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.15320000052452087,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.07339999824762344,"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/coding","display_name":"Coding (social sciences)","score":0.6359999775886536},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6355000138282776},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5968000292778015},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5902000069618225},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.47110000252723694},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.45590001344680786},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.43869999051094055},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.42739999294281006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7462000250816345},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6359999775886536},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6355000138282776},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5968000292778015},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5902000069618225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49410000443458557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4909999966621399},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.47110000252723694},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.45590001344680786},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.43869999051094055},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.42739999294281006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41830000281333923},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.4023999869823456},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.30469998717308044},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.29820001125335693},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.2978000044822693},{"id":"https://openalex.org/C56289965","wikidata":"https://www.wikidata.org/wiki/Q5249246","display_name":"Decision tree model","level":3,"score":0.29109999537467957},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.27649998664855957},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lascas67804.2026.11457076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lascas67804.2026.11457076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 17th Latin America Symposium on Circuits and System (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":16,"referenced_works":["https://openalex.org/W2101807845","https://openalex.org/W2169161136","https://openalex.org/W2738549586","https://openalex.org/W3009259128","https://openalex.org/W3091225163","https://openalex.org/W3135530072","https://openalex.org/W3153617831","https://openalex.org/W3178669785","https://openalex.org/W3202918664","https://openalex.org/W4239160510","https://openalex.org/W4306663533","https://openalex.org/W4353052195","https://openalex.org/W4361768792","https://openalex.org/W4388117972","https://openalex.org/W4403389803","https://openalex.org/W4409660537"],"related_works":[],"abstract_inverted_index":{"The":[0,32,75],"state-of-the-art":[1],"Versatile":[2],"Video":[3],"Coding":[4],"(VVC)":[5],"standard":[6],"achieves":[7],"remarkable":[8],"compression":[9],"efficiency":[10,108],"through":[11],"several":[12],"innovative":[13],"tools,":[14],"including":[15],"Matrix-based":[16],"Intra":[17],"Prediction":[18],"(MIP).":[19],"However,":[20],"this":[21,53,123],"gain":[22],"comes":[23],"at":[24],"the":[25,70,118,125,129,137],"cost":[26],"of":[27,72,81,97,120,140],"very":[28],"high":[29],"computational":[30,138],"complexity.":[31],"problem":[33],"is":[34,124],"even":[35],"more":[36],"critical":[37],"for":[38,135],"immersive":[39],"media,":[40],"such":[41],"as":[42],"360\u00b0":[43,73,145],"video,":[44],"which":[45],"demands":[46],"significantly":[47],"larger":[48],"data":[49],"volumes.":[50],"To":[51,117],"address":[52],"challenge,":[54],"we":[55],"present":[56],"FastMIP-360,":[57],"a":[58,78,87,133],"lightweight":[59],"machine":[60],"learning":[61],"method":[62,134],"designed":[63],"to":[64,85,131],"prune":[65],"unnecessary":[66],"MIP":[67,142],"evaluations":[68],"during":[69],"encoding":[71,101,144],"content.":[74],"approach":[76],"employs":[77],"stratified":[79],"sampling":[80],"VTM":[82],"encoder":[83],"logs":[84],"train":[86],"Decision":[88],"Tree":[89],"classifier.":[90],"Experimental":[91],"results":[92],"demonstrate":[93],"an":[94],"average":[95],"reduction":[96],"5.74%":[98],"in":[99,110,115,128],"global":[100],"time,":[102],"with":[103],"negligible":[104],"impact":[105],"on":[106],"coding":[107],"(0.171%":[109],"BD-BR":[111],"and":[112],"\u22120.0090":[113],"dB":[114],"BD-WSPSNR).":[116],"best":[119],"our":[121],"knowledge,":[122],"first":[126],"work":[127],"literature":[130],"propose":[132],"reducing":[136],"effort":[139],"VVC":[141],"when":[143],"video.":[146]},"counts_by_year":[],"updated_date":"2026-04-02T13:53:19.096889","created_date":"2026-04-02T00:00:00"}