{"id":"https://openalex.org/W4417502131","doi":"https://doi.org/10.1145/3779057","title":"Guided Masked Self-Distillation Modeling for Distributed Multimedia Sensor Event Analysis","display_name":"Guided Masked Self-Distillation Modeling for Distributed Multimedia Sensor Event Analysis","publication_year":2025,"publication_date":"2025-12-19","ids":{"openalex":"https://openalex.org/W4417502131","doi":"https://doi.org/10.1145/3779057"},"language":"en","primary_location":{"id":"doi:10.1145/3779057","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3779057","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","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/A5094340629","display_name":"Masahiro Yasuda","orcid":"https://orcid.org/0000-0003-2776-9701"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Yasuda","raw_affiliation_strings":["NTT, Inc., Musashino, Japan and Tokyo Metropolitan University, Hachioji, Japan","NTT, Inc., Japan and Tokyo Metropolitan University, Japan"],"raw_orcid":"https://orcid.org/0000-0003-2776-9701","affiliations":[{"raw_affiliation_string":"NTT, Inc., Musashino, Japan and Tokyo Metropolitan University, Hachioji, Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"NTT, Inc., Japan and Tokyo Metropolitan University, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054467679","display_name":"Noboru Harada","orcid":"https://orcid.org/0000-0002-1759-4533"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]},{"id":"https://openalex.org/I2801547476","display_name":"NTT Medical Center","ror":"https://ror.org/0285prp25","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I2801547476"]},{"id":"https://openalex.org/I4210105847","display_name":"NTT Basic Research Laboratories","ror":"https://ror.org/01m2pas06","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210105847"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noboru Harada","raw_affiliation_strings":["NTT, Inc., Atsugi-shi, Japan","NTT, Inc., Japan"],"raw_orcid":"https://orcid.org/0000-0002-1759-4533","affiliations":[{"raw_affiliation_string":"NTT, Inc., Atsugi-shi, Japan","institution_ids":["https://openalex.org/I2251713219","https://openalex.org/I4210105847"]},{"raw_affiliation_string":"NTT, Inc., Japan","institution_ids":["https://openalex.org/I2251713219","https://openalex.org/I2801547476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062509967","display_name":"Yasunori Ohishi","orcid":"https://orcid.org/0000-0002-7856-248X"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]},{"id":"https://openalex.org/I2801547476","display_name":"NTT Medical Center","ror":"https://ror.org/0285prp25","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I2801547476"]},{"id":"https://openalex.org/I4210105847","display_name":"NTT Basic Research Laboratories","ror":"https://ror.org/01m2pas06","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210105847"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasunori Ohishi","raw_affiliation_strings":["NTT, Inc., Atsugi-shi, Japan","NTT, Inc., Japan"],"raw_orcid":"https://orcid.org/0000-0002-7856-248X","affiliations":[{"raw_affiliation_string":"NTT, Inc., Atsugi-shi, Japan","institution_ids":["https://openalex.org/I2251713219","https://openalex.org/I4210105847"]},{"raw_affiliation_string":"NTT, Inc., Japan","institution_ids":["https://openalex.org/I2251713219","https://openalex.org/I2801547476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108799515","display_name":"Shoichiro Saito","orcid":"https://orcid.org/0000-0002-8712-0464"},"institutions":[{"id":"https://openalex.org/I200641316","display_name":"Musashino University","ror":"https://ror.org/04bcbax71","country_code":"JP","type":"education","lineage":["https://openalex.org/I200641316"]},{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]},{"id":"https://openalex.org/I2801547476","display_name":"NTT Medical Center","ror":"https://ror.org/0285prp25","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I2801547476"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoichiro Saito","raw_affiliation_strings":["NTT, Inc., Masashino-shi, Japan","NTT, Inc., Japan"],"raw_orcid":"https://orcid.org/0000-0002-8712-0464","affiliations":[{"raw_affiliation_string":"NTT, Inc., Masashino-shi, Japan","institution_ids":["https://openalex.org/I200641316","https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT, Inc., Japan","institution_ids":["https://openalex.org/I2251713219","https://openalex.org/I2801547476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077407172","display_name":"Ayako Nakayama","orcid":"https://orcid.org/0009-0002-3815-5254"},"institutions":[{"id":"https://openalex.org/I200641316","display_name":"Musashino University","ror":"https://ror.org/04bcbax71","country_code":"JP","type":"education","lineage":["https://openalex.org/I200641316"]},{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]},{"id":"https://openalex.org/I2801547476","display_name":"NTT Medical Center","ror":"https://ror.org/0285prp25","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I2801547476"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Nakayama","raw_affiliation_strings":["NTT, Inc., Masashino-shi, Japan","NTT, Inc., Japan"],"raw_orcid":"https://orcid.org/0009-0002-3815-5254","affiliations":[{"raw_affiliation_string":"NTT, Inc., Masashino-shi, Japan","institution_ids":["https://openalex.org/I200641316","https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT, Inc., Japan","institution_ids":["https://openalex.org/I2251713219","https://openalex.org/I2801547476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056281759","display_name":"Nobutaka Ono","orcid":"https://orcid.org/0000-0003-4242-2773"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobutaka Ono","raw_affiliation_strings":["Tokyo Metropolitan University, Hachioji, Japan","Tokyo Metropolitan University, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4242-2773","affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University, Hachioji, Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Tokyo Metropolitan University, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5475,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71320023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"22","issue":"2","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.38190001249313354,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.38190001249313354,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.16599999368190765,"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"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.1436000019311905,"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/event","display_name":"Event (particle physics)","score":0.7208999991416931},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5479999780654907},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.35359999537467957},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.3522000014781952},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.2809000015258789}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9101999998092651},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7208999991416931},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5479999780654907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4226999878883362},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36809998750686646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3544999957084656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3544999957084656},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33169999718666077},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C2778135862","wikidata":"https://www.wikidata.org/wiki/Q5416719","display_name":"Event monitoring","level":3,"score":0.27160000801086426},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3779057","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3779057","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1981160672","https://openalex.org/W2140647972","https://openalex.org/W2144761450","https://openalex.org/W2157825442","https://openalex.org/W2560886373","https://openalex.org/W2618657287","https://openalex.org/W2765198766","https://openalex.org/W2767514117","https://openalex.org/W2798158991","https://openalex.org/W2810934215","https://openalex.org/W2918984654","https://openalex.org/W2948515602","https://openalex.org/W2963315828","https://openalex.org/W3049241653","https://openalex.org/W3100219394","https://openalex.org/W4210416950","https://openalex.org/W4211154280","https://openalex.org/W4285192675","https://openalex.org/W4387789891"],"related_works":[],"abstract_inverted_index":{"This":[0],"article":[1],"addresses":[2],"a":[3,16,38,64,163],"new":[4,151],"task:":[5],"distributed":[6,80,171],"multimedia":[7],"sensor":[8,40,109],"event":[9,128,183],"analysis":[10],"(DiMSEA).":[11],"DiMSEA":[12],"aims":[13],"to":[14,59,69,72,100,102,116,123],"analyze":[15,60],"series":[17],"of":[18,97,142,159],"human":[19,160],"and":[20,30,54,154,166,173,185,188],"machine":[21],"activities":[22,161],"(called":[23],"\u201cevents\u201d":[24],"in":[25,28,46,146,162],"this":[26],"article)":[27],"complex":[29],"extensive":[31],"real-world":[32],"environments.":[33],"Since":[34],"an":[35,48,167],"observation":[36],"from":[37,51,106,112,130],"single":[39],"is":[41,99,121],"often":[42],"missing":[43],"or":[44],"fragmented":[45,126],"such":[47,79],"environment,":[49],"observations":[50],"multiple":[52],"locations":[53],"modalities":[55],"should":[56],"be":[57,70],"integrated":[58],"events":[61],"comprehensively.":[62],"However,":[63],"learning":[65],"method":[66,145,198],"has":[67],"yet":[68],"established":[71],"extract":[73],"joint":[74],"representations":[75],"that":[76,178],"effectively":[77,124],"combine":[78],"observations.":[81],"Therefore,":[82],"we":[83,148],"propose":[84],"guided":[85],"masked":[86,108],"self-distillation":[87],"modeling":[88,193],"(Guided-MELD)":[89],"for":[90],"inter-sensor":[91,191],"relationship":[92,192],"modeling.":[93],"The":[94],"basic":[95],"idea":[96],"Guided-MELD":[98,120,181],"learn":[101],"supplement":[103],"the":[104,107,118,140,143,179,196],"information":[105,111,129],"with":[110],"other":[113],"sensors":[114,131,203],"needed":[115],"detect":[117],"event.":[119],"expected":[122],"distill":[125],"target":[127],"without":[132],"over-relying":[133],"on":[134],"any":[135],"specific":[136],"sensors.":[137],"To":[138],"validate":[139],"effectiveness":[141],"proposed":[144,180,197],"DiMSEA,":[147],"recorded":[149,169],"two":[150],"datasets:":[152],"MM-Store":[153],"MM-Office.":[155],"These":[156],"datasets":[157],"consist":[158],"convenience":[164],"store":[165],"office,":[168],"using":[170],"cameras":[172],"microphones.":[174],"Experimental":[175],"results":[176],"show":[177],"improves":[182],"tagging":[184],"detection":[186],"performance":[187],"outperforms":[189],"conventional":[190],"methods.":[194],"Furthermore,":[195],"performed":[199],"robustly":[200],"even":[201],"when":[202],"were":[204],"reduced.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-12-19T00:00:00"}