{"id":"https://openalex.org/W4409156977","doi":"https://doi.org/10.1109/ieeeconf60004.2024.10943052","title":"Event-Based Video Frame Extrapolation with Recurrent Neural Networks","display_name":"Event-Based Video Frame Extrapolation with Recurrent Neural Networks","publication_year":2024,"publication_date":"2024-10-27","ids":{"openalex":"https://openalex.org/W4409156977","doi":"https://doi.org/10.1109/ieeeconf60004.2024.10943052"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf60004.2024.10943052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf60004.2024.10943052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","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/A5020854369","display_name":"Sri Harsha Musunuri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093996","display_name":"Dolby (United States)","ror":"https://ror.org/01eyenr26","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093996"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sri Harsha Musunuri","raw_affiliation_strings":["Dolby Laboratories Inc.,Sunnyvale,CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dolby Laboratories Inc.,Sunnyvale,CA","institution_ids":["https://openalex.org/I4210093996"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075660915","display_name":"Anustup Choudhury","orcid":"https://orcid.org/0000-0001-6618-9211"},"institutions":[{"id":"https://openalex.org/I4210093996","display_name":"Dolby (United States)","ror":"https://ror.org/01eyenr26","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093996"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anustup Choudhury","raw_affiliation_strings":["Dolby Laboratories Inc.,Sunnyvale,CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dolby Laboratories Inc.,Sunnyvale,CA","institution_ids":["https://openalex.org/I4210093996"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012578054","display_name":"Guan\u2010Ming Su","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093996","display_name":"Dolby (United States)","ror":"https://ror.org/01eyenr26","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093996"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guan-Ming Su","raw_affiliation_strings":["Dolby Laboratories Inc.,Sunnyvale,CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dolby Laboratories Inc.,Sunnyvale,CA","institution_ids":["https://openalex.org/I4210093996"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037341857","display_name":"Seobin Park","orcid":"https://orcid.org/0000-0002-2580-6209"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seobin Park","raw_affiliation_strings":["The University of Texas at Austin,Austin,TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Austin,TX","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62805623,"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":"480","last_page":"484"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987000226974487,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9984999895095825,"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":0.7818993926048279},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.7629238367080688},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.7188234329223633},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5992785692214966},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5915955901145935},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5246860384941101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4214741587638855},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4041610658168793},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36108332872390747},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34752264618873596},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2737048268318176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06149128079414368}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7818993926048279},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.7629238367080688},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7188234329223633},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5992785692214966},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5915955901145935},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5246860384941101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4214741587638855},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4041610658168793},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36108332872390747},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34752264618873596},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2737048268318176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06149128079414368},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf60004.2024.10943052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf60004.2024.10943052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","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":18,"referenced_works":["https://openalex.org/W2604329646","https://openalex.org/W2738579427","https://openalex.org/W2769654144","https://openalex.org/W2913843253","https://openalex.org/W2950635152","https://openalex.org/W2963093735","https://openalex.org/W2998799713","https://openalex.org/W3034921716","https://openalex.org/W3040838455","https://openalex.org/W3174138177","https://openalex.org/W3178334627","https://openalex.org/W4309160143","https://openalex.org/W4310298833","https://openalex.org/W4312383539","https://openalex.org/W4312409473","https://openalex.org/W4312623579","https://openalex.org/W4312852806","https://openalex.org/W4319301042"],"related_works":["https://openalex.org/W1968270095","https://openalex.org/W4296478327","https://openalex.org/W1960072520","https://openalex.org/W2042397106","https://openalex.org/W4361730764","https://openalex.org/W1965029248","https://openalex.org/W2220129715","https://openalex.org/W2387596242","https://openalex.org/W2333625343","https://openalex.org/W2074627651"],"abstract_inverted_index":{"Traditional":[0],"video":[1,104],"frame":[2,105,111,117],"interpolation":[3],"(VFI)":[4],"methods":[5,63],"do":[6],"not":[7,89],"work":[8],"well":[9],"in":[10,74,134],"scenarios":[11],"with":[12],"high-speed":[13],"motion.":[14],"Using":[15],"event":[16,19,36,47,60,95,128,170],"data":[17,129,171],"from":[18,177],"sensors":[20],"can":[21],"mitigate":[22],"the":[23,79,84,92,109,119,127,135,141,169,191,194],"problem":[24,123],"since":[25,126],"it":[26],"provides":[27],"auxiliary":[28],"information":[29],"at":[30],"a":[31,42,99,114,145,150,156,163],"very":[32],"high-frame":[33],"rate.":[34],"Recently,":[35],"based":[37,61,112,154],"VFI":[38,55,62],"methods,":[39],"that":[40,167],"use":[41,149],"combination":[43],"of":[44,78,94,193],"frames":[45,66,175],"and":[46,118,132,138,161],"information,":[48],"have":[49],"shown":[50],"better":[51],"performance":[52],"than":[53],"traditional":[54],"methods.":[56],"However,":[57],"most":[58],"existing":[59],"predict":[64,108],"intermediate":[65],"between":[67],"two":[68],"consecutive":[69],"RGB":[70,86,110,116,174,180],"frames.":[71],"This":[72,122],"results":[73],"additional":[75],"latency":[76],"because":[77],"need":[80],"to":[81,102,172,189],"wait":[82],"for":[83],"next":[85],"frame,":[87],"thus":[88],"fully":[90],"exploiting":[91],"capability":[93],"sensor.":[96],"We":[97,148,182],"introduce":[98],"novel":[100],"approach":[101],"perform":[103,183],"extrapolation":[106],"i.e.,":[107],"on":[113,155,185],"current":[115],"subsequent":[120],"events.":[121],"is":[124],"non-trivial":[125],"are":[130],"asynchronous":[131],"sparse":[133],"spatial":[136],"domain":[137],"only":[139],"encode":[140],"in-tensity":[142],"change":[143],"as":[144],"binary":[146],"value.":[147],"recurrent":[151,158],"neural":[152],"network":[153],"gated":[157],"unit":[159],"(GRU)":[160],"propose":[162],"new":[164],"training":[165],"mechanism":[166],"exploits":[168],"reconstruct":[173],"extrapolated":[176],"an":[178],"initial":[179],"frame.":[181],"experiments":[184],"publicly":[186],"available":[187],"datasets":[188],"show":[190],"value":[192],"proposed":[195],"method.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
