{"id":"https://openalex.org/W4403791686","doi":"https://doi.org/10.1145/3664647.3680970","title":"Rate-aware Compression for NeRF-based Volumetric Video","display_name":"Rate-aware Compression for NeRF-based Volumetric Video","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791686","doi":"https://doi.org/10.1145/3664647.3680970"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3680970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5012960123","display_name":"Z.M. Zhang","orcid":"https://orcid.org/0009-0001-1728-4754"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyu Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086398934","display_name":"Guo Lu","orcid":"https://orcid.org/0000-0001-6951-0090"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Lu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109610754","display_name":"Huanxiong Liang","orcid":"https://orcid.org/0000-0002-0612-6363"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanxiong Liang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113172890","display_name":"Zhi\u2010Lin Cheng","orcid":"https://orcid.org/0000-0003-3164-5883"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengxue Cheng","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006595285","display_name":"Anni Tang","orcid":"https://orcid.org/0000-0002-9772-3293"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anni Tang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002404808","display_name":"Li Song","orcid":"https://orcid.org/0000-0002-7124-5182"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Song","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5012960123"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.5263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67087267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3974","last_page":"3983"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9991000294685364,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.6494807004928589},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.6404540538787842},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5081579685211182},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3310973644256592},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32637226581573486},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1702926754951477},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.14081865549087524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6494807004928589},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6404540538787842},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5081579685211182},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3310973644256592},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32637226581573486},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1702926754951477},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.14081865549087524}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3680970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2040903332","https://openalex.org/W2099563019","https://openalex.org/W2133665775","https://openalex.org/W2905544027","https://openalex.org/W2962785568","https://openalex.org/W2969260367","https://openalex.org/W2999905431","https://openalex.org/W3014200484","https://openalex.org/W3034469748","https://openalex.org/W3138152222","https://openalex.org/W3153220274","https://openalex.org/W3174752334","https://openalex.org/W3179630053","https://openalex.org/W3184952021","https://openalex.org/W3202918664","https://openalex.org/W3203234039","https://openalex.org/W3203610921","https://openalex.org/W3215589927","https://openalex.org/W4200150166","https://openalex.org/W4214731463","https://openalex.org/W4214748949","https://openalex.org/W4221151978","https://openalex.org/W4226466578","https://openalex.org/W4281651265","https://openalex.org/W4281663660","https://openalex.org/W4283034080","https://openalex.org/W4312234520","https://openalex.org/W4312325284","https://openalex.org/W4312926154","https://openalex.org/W4313165271","https://openalex.org/W4376311815","https://openalex.org/W4385261185","https://openalex.org/W4386057724","https://openalex.org/W4386065808","https://openalex.org/W4386075614","https://openalex.org/W4386075787","https://openalex.org/W4386075797","https://openalex.org/W4386075996","https://openalex.org/W4386113270","https://openalex.org/W4390872488","https://openalex.org/W4391092988","https://openalex.org/W4402727321","https://openalex.org/W4402727680","https://openalex.org/W6802036239"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2612632602","https://openalex.org/W2321805087"],"abstract_inverted_index":{"The":[0],"neural":[1],"radiance":[2],"fields":[3],"(NeRF)":[4],"have":[5],"advanced":[6],"the":[7,15,32,41,69,74,96,101,112,115,125,130,133,157,162,166,174,196,211,218,230,237],"development":[8],"of":[9,114,132],"3D":[10],"volumetric":[11,66,81,208],"video":[12,67,209],"technology,":[13],"but":[14],"large":[16],"data":[17],"volumes":[18],"they":[19],"involve":[20],"pose":[21],"significant":[22],"challenges":[23],"for":[24,65,80,95,161,184,207],"storage":[25,197],"and":[26,51,155,187,202,213,233],"transmission.":[27],"To":[28],"address":[29],"these":[30,37],"problems,":[31],"existing":[33],"solutions":[34],"typically":[35],"compress":[36],"NeRF":[38,63,97,116,134,147,163,167],"representations":[39,186],"after":[40],"training":[42,50,70,102],"stage,":[43],"leading":[44,143],"to":[45,58,91,110,127,144,217],"a":[46,61,85,145],"separation":[47],"between":[48],"representation":[49,64,168],"compression.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56,83,149,223],"try":[57],"directly":[59],"learn":[60,156],"compact":[62,146],"in":[68,129],"stage":[71],"based":[72],"on":[73,210,229,236],"proposed":[75,178],"rate-aware":[76],"compression":[77,179],"framework.":[78],"Specifically,":[79],"video,":[82],"use":[84],"simple":[86],"yet":[87],"effective":[88],"modeling":[89],"strategy":[90,154],"reduce":[92],"temporal":[93],"redundancy":[94],"representation.":[98,117,135],"Then,":[99],"during":[100],"phase,":[103],"an":[104,151,225],"implicit":[105],"entropy":[106,119],"model":[107,120],"is":[108,121],"utilized":[109],"estimate":[111],"bitrate":[113,140],"This":[118,136],"then":[122],"encoded":[123],"into":[124],"bitstream":[126],"assist":[128],"decoding":[131],"approach":[137,193],"enables":[138],"precise":[139],"estimation,":[141],"thereby":[142],"representation.Furthermore,":[148],"propose":[150],"adaptive":[152],"quantization":[153,159],"optimal":[158],"step":[160],"representations.":[164],"Finally,":[165],"can":[169,181],"be":[170,182],"optimized":[171],"by":[172],"using":[173],"rate-distortion":[175,205],"trade-off.":[176],"Our":[177],"framework":[180],"used":[183],"different":[185],"experimental":[188],"results":[189],"demonstrate":[190],"that":[191],"our":[192],"significantly":[194],"reduces":[195],"size":[198],"with":[199],"marginal":[200],"distortion":[201],"achieves":[203],"state-of-the-art":[204,220],"performance":[206],"HumanRF":[212,231],"ReRF":[214,238],"datasets.":[215],"Compared":[216],"previous":[219],"method":[221],"TeTriRF,":[222],"achieved":[224],"approximately":[226],"-80%":[227],"BD-rate":[228,235],"dataset":[232],"-60%":[234],"dataset.":[239]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}