{"id":"https://openalex.org/W4407449099","doi":"https://doi.org/10.1109/tmc.2025.3541580","title":"Robust Motion-Guided Frame Sampler With Interpretive Evaluation for Video Action Recognition","display_name":"Robust Motion-Guided Frame Sampler With Interpretive Evaluation for Video Action Recognition","publication_year":2025,"publication_date":"2025-02-13","ids":{"openalex":"https://openalex.org/W4407449099","doi":"https://doi.org/10.1109/tmc.2025.3541580"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2025.3541580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3541580","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","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/A5115590637","display_name":"Jing Bai","orcid":"https://orcid.org/0000-0001-5412-7793"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Bai","raw_affiliation_strings":["School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0001-5412-7793","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuxiang Zhang","orcid":"https://orcid.org/0009-0008-1454-0223"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0008-1454-0223","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367890","display_name":"Yiran Wang","orcid":"https://orcid.org/0000-0002-5786-8789"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiran Wang","raw_affiliation_strings":["School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-5786-8789","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001435169","display_name":"Zhu Xiao","orcid":"https://orcid.org/0000-0001-5645-160X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu Xiao","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-5645-160X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yong Xiong","orcid":"https://orcid.org/0000-0002-6224-978X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xiong","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-6224-978X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8276,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93039311,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"24","issue":"7","first_page":"6197","last_page":"6208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7871806621551514},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5580424070358276},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5257335901260376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5187699794769287},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5174839496612549},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.49532976746559143},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.48564139008522034},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.47824135422706604},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.47434937953948975},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37632742524147034},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15633466839790344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7871806621551514},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5580424070358276},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5257335901260376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5187699794769287},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5174839496612549},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.49532976746559143},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.48564139008522034},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.47824135422706604},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.47434937953948975},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37632742524147034},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15633466839790344},{"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},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2025.3541580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3541580","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3137752463","display_name":null,"funder_award_id":"62176196","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3177995538","display_name":null,"funder_award_id":"62276206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3997456572","display_name":null,"funder_award_id":"U24A20247","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4024201118","display_name":null,"funder_award_id":"2023Z071081001","funder_id":"https://openalex.org/F4320322857","funder_display_name":"Aeronautical Science Foundation of China"},{"id":"https://openalex.org/G5586935709","display_name":null,"funder_award_id":"2023A1515011915","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322857","display_name":"Aeronautical Science Foundation of China","ror":"https://ror.org/02wq41p38"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1578285471","https://openalex.org/W2016053056","https://openalex.org/W2064675550","https://openalex.org/W2126579184","https://openalex.org/W2133665775","https://openalex.org/W2145339207","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2313716405","https://openalex.org/W2507009361","https://openalex.org/W2605270538","https://openalex.org/W2625366777","https://openalex.org/W2765793020","https://openalex.org/W2770804203","https://openalex.org/W2797382244","https://openalex.org/W2807968599","https://openalex.org/W2883429621","https://openalex.org/W2895243423","https://openalex.org/W2910021422","https://openalex.org/W2914885528","https://openalex.org/W2914914601","https://openalex.org/W2962858109","https://openalex.org/W2963155035","https://openalex.org/W2963374347","https://openalex.org/W2963524571","https://openalex.org/W2963526497","https://openalex.org/W2971680695","https://openalex.org/W2988630963","https://openalex.org/W2990152177","https://openalex.org/W2996901793","https://openalex.org/W3004505825","https://openalex.org/W3010010212","https://openalex.org/W3037046522","https://openalex.org/W3103709883","https://openalex.org/W3107849462","https://openalex.org/W3126721948","https://openalex.org/W3146947661","https://openalex.org/W3156973125","https://openalex.org/W3168565360","https://openalex.org/W3174568846","https://openalex.org/W3176482836","https://openalex.org/W3177141386","https://openalex.org/W3215084804","https://openalex.org/W4213019189","https://openalex.org/W4214614183","https://openalex.org/W4214727094","https://openalex.org/W4221152513","https://openalex.org/W4286655986","https://openalex.org/W4289822576","https://openalex.org/W4312560592","https://openalex.org/W4312769131","https://openalex.org/W4382240189","https://openalex.org/W4386065571","https://openalex.org/W4387789756","https://openalex.org/W4392173874","https://openalex.org/W6600983433","https://openalex.org/W6682864246","https://openalex.org/W6729448088","https://openalex.org/W6787254463","https://openalex.org/W6810661123","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W1579157894","https://openalex.org/W1967654336","https://openalex.org/W2060632806","https://openalex.org/W1530267862","https://openalex.org/W2995690499","https://openalex.org/W1494405360","https://openalex.org/W2050955821","https://openalex.org/W2153529351","https://openalex.org/W2040149295","https://openalex.org/W2016848112"],"abstract_inverted_index":{"Due":[0],"to":[1,16,94,125,130,138,154,170,204],"the":[2,18,26,78,96,116,120,156,165,206,212,221],"presence":[3],"of":[4,21,44,67,98,115,158,164,208,214,223],"redundancy":[5],"and":[6,46,73,89,100,128,197],"interference,":[7],"frame":[8,34,56],"sampling":[9,57,225],"is":[10,202],"a":[11,54,112,180],"promising":[12],"but":[13],"challenging":[14],"solution":[15],"mitigate":[17],"expensive":[19],"computation":[20],"video":[22,185],"action":[23,176],"recognition.":[24],"Although":[25],"motion":[27,61,71,75,87,90],"prior":[28],"has":[29],"shown":[30],"great":[31],"potential":[32],"for":[33,142,184],"selection,":[35],"existing":[36,140],"motion-based":[37],"strategies":[38],"suffer":[39],"from":[40],"limitations":[41],"in":[42],"terms":[43],"robustness":[45],"interpretive":[47],"evaluation.":[48],"In":[49,168],"this":[50],"paper,":[51],"we":[52,81,178,216],"devise":[53],"robust":[55,129],"strategy":[58],"called":[59],"positive":[60],"guided":[62],"sampler":[63,121,134],"(PMGSampler).":[64],"It":[65],"consists":[66],"two":[68,83],"procedures,":[69],"local":[70,79,118],"capture":[72],"global":[74,113],"statistics.":[76],"At":[77],"level,":[80],"propose":[82],"concepts":[84],"about":[85],"inter-frame":[86],"amplitude":[88],"continuity,":[91],"which":[92],"helps":[93],"perceive":[95],"movement":[97],"subjects":[99],"identify":[101],"abnormal":[102],"events":[103],"that":[104],"may":[105],"generate":[106],"negative":[107],"pseudo-motion":[108],"information.":[109],"Then,":[110],"through":[111],"analysis":[114],"obtained":[117],"motions,":[119],"becomes":[122],"more":[123],"sensitive":[124],"informative":[126],"frames":[127,174],"outliers.":[131],"The":[132],"proposed":[133],"can":[135,217],"be":[136],"applied":[137],"most":[139],"models":[141],"improving":[143],"recognition":[144],"accuracy.":[145],"We":[146],"conduct":[147],"extensive":[148],"experiments":[149],"on":[150],"four":[151],"widely-used":[152],"benchmarks":[153],"demonstrate":[155],"superiority":[157],"our":[159,200],"PMGSampler":[160],"over":[161],"other":[162],"methods":[163],"same":[166],"type.":[167],"addition,":[169],"analyse":[171],"how":[172],"sampled":[173],"influence":[175],"recognition,":[177],"present":[179],"visual":[181],"interpretation":[182],"method":[183],"models,":[186],"termed":[187],"as":[188],"spatio-temporal":[189,209],"class":[190],"activation":[191],"map":[192],"(STCAM).":[193],"By":[194],"introducing":[195],"spatial":[196],"temporal":[198],"branches,":[199],"STCAM":[201],"able":[203],"visualise":[205],"salience":[207],"features.":[210],"With":[211],"help":[213],"STCAM,":[215],"further":[218],"intuitively":[219],"evaluate":[220],"performance":[222],"different":[224],"strategies.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
