{"id":"https://openalex.org/W4403447808","doi":"https://doi.org/10.1109/etfa61755.2024.10711155","title":"DF Sampler: A Self-Supervised Method for Adaptive Keyframe Sampling","display_name":"DF Sampler: A Self-Supervised Method for Adaptive Keyframe Sampling","publication_year":2024,"publication_date":"2024-09-10","ids":{"openalex":"https://openalex.org/W4403447808","doi":"https://doi.org/10.1109/etfa61755.2024.10711155"},"language":"en","primary_location":{"id":"doi:10.1109/etfa61755.2024.10711155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa61755.2024.10711155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)","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/A5044944882","display_name":"Naval Kishore Mehta","orcid":"https://orcid.org/0000-0002-9777-1471"},"institutions":[{"id":"https://openalex.org/I99364266","display_name":"Academy of Scientific and Innovative Research","ror":"https://ror.org/053rcsq61","country_code":"IN","type":"education","lineage":["https://openalex.org/I99364266"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Naval Kishore Mehta","raw_affiliation_strings":["Academy of Scientific and Innovative Research,Ghaziabad,India,201002"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Scientific and Innovative Research,Ghaziabad,India,201002","institution_ids":["https://openalex.org/I99364266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056376461","display_name":"Shyam Sunder Prasad","orcid":"https://orcid.org/0000-0003-2676-8985"},"institutions":[{"id":"https://openalex.org/I99364266","display_name":"Academy of Scientific and Innovative Research","ror":"https://ror.org/053rcsq61","country_code":"IN","type":"education","lineage":["https://openalex.org/I99364266"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shyam Sunder Prasad","raw_affiliation_strings":["Academy of Scientific and Innovative Research,Ghaziabad,India,201002"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Scientific and Innovative Research,Ghaziabad,India,201002","institution_ids":["https://openalex.org/I99364266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011982184","display_name":"Sumeet Saurav","orcid":"https://orcid.org/0000-0002-4375-4107"},"institutions":[{"id":"https://openalex.org/I99364266","display_name":"Academy of Scientific and Innovative Research","ror":"https://ror.org/053rcsq61","country_code":"IN","type":"education","lineage":["https://openalex.org/I99364266"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumeet Saurav","raw_affiliation_strings":["Academy of Scientific and Innovative Research,Ghaziabad,India,201002"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Scientific and Innovative Research,Ghaziabad,India,201002","institution_ids":["https://openalex.org/I99364266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022334979","display_name":"Sanjay Singh","orcid":"https://orcid.org/0000-0002-2249-799X"},"institutions":[{"id":"https://openalex.org/I99364266","display_name":"Academy of Scientific and Innovative Research","ror":"https://ror.org/053rcsq61","country_code":"IN","type":"education","lineage":["https://openalex.org/I99364266"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanjay Singh","raw_affiliation_strings":["Academy of Scientific and Innovative Research,Ghaziabad,India,201002"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Scientific and Innovative Research,Ghaziabad,India,201002","institution_ids":["https://openalex.org/I99364266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99364266"],"apc_list":null,"apc_paid":null,"fwci":0.2044,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49285597,"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":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.7415000200271606,"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/T11439","display_name":"Video Analysis and Summarization","score":0.7415000200271606,"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":0.7026000022888184,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.6937999725341797,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7396373152732849},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.6693466305732727},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6085924506187439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5450232028961182},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49139705300331116},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2202913463115692},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14298763871192932},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.07639366388320923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7396373152732849},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.6693466305732727},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6085924506187439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5450232028961182},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49139705300331116},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2202913463115692},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14298763871192932},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.07639366388320923},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/etfa61755.2024.10711155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa61755.2024.10711155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)","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":13,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2963526497","https://openalex.org/W3004505825","https://openalex.org/W3009112254","https://openalex.org/W3010010212","https://openalex.org/W3156973125","https://openalex.org/W4306394127","https://openalex.org/W4312394661","https://openalex.org/W4320015922","https://openalex.org/W4386797534","https://openalex.org/W4390848683","https://openalex.org/W4396575074"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Video":[0],"understanding":[1],"has":[2,46],"become":[3],"crucial":[4,34],"in":[5,60,74,102,140],"computer":[6],"vision":[7],"research":[8,90],"due":[9],"to":[10,108,131,151],"the":[11,25,66,133,162,173],"vast":[12],"amounts":[13],"of":[14,27,68,89,135,165],"video":[15,22,31,43,54],"data":[16],"generated":[17],"from":[18,29],"various":[19],"sources.":[20],"Efficient":[21],"analysis,":[23],"especially":[24],"extraction":[26],"keyframes":[28],"long":[30],"sequences,":[32],"is":[33,85,170],"when":[35],"combined":[36],"with":[37,157],"state-of-the-art":[38],"deep":[39],"learning":[40,149],"algorithms":[41],"for":[42,80,95],"understanding.":[44],"This":[45],"numerous":[47],"applications,":[48],"including":[49],"smart":[50],"surveillance,":[51],"autonomous":[52],"driving,":[53],"summarization,":[55],"and":[56,78,111],"human":[57],"activity":[58],"monitoring":[59],"human-robot":[61],"collaboration":[62],"(HRC)":[63],"settings.":[64],"In":[65],"context":[67],"Industry":[69],"5.0,":[70],"such":[71],"analysis":[72],"aids":[73],"enhancing":[75],"productivity,":[76],"safety,":[77],"ergonomics":[79],"industrial":[81,105,142],"workers.":[82],"However,":[83],"there":[84],"a":[86,124,147],"notable":[87],"lack":[88],"on":[91,172],"adaptive":[92,126],"frame":[93],"selection":[94],"video-based":[96],"Human":[97],"Activity":[98],"Recognition":[99],"(HAR)":[100],"systems":[101],"challenging,":[103],"uncontrolled":[104],"environments,":[106],"leading":[107],"high":[109],"memory":[110],"computational":[112,163],"demands.":[113],"To":[114],"address":[115],"this,":[116],"we":[117],"introduce":[118],"Dynamic":[119],"Frame":[120],"Sampler":[121,145],"(DF":[122],"Sampler),":[123],"novel":[125],"keyframe":[127],"sampling":[128],"method":[129,169],"designed":[130],"tackle":[132],"challenges":[134],"processing":[136],"variable-duration":[137],"action":[138],"sequences":[139],"complex":[141],"environments.":[143],"DF":[144],"uses":[146],"self-supervised":[148],"approach":[150],"adaptively":[152],"select":[153],"keyframes,":[154],"prioritizing":[155],"segments":[156],"significant":[158],"motion":[159],"while":[160],"optimizing":[161],"efficiency":[164],"HAR":[166],"systems.":[167],"The":[168],"evaluated":[171],"publicly":[174],"available":[175],"HRI30":[176],"dataset.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
