{"id":"https://openalex.org/W2226414250","doi":"https://doi.org/10.1109/dicta.2015.7371292","title":"On the Effects of Low Video Quality in Human Action Recognition","display_name":"On the Effects of Low Video Quality in Human Action Recognition","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2226414250","doi":"https://doi.org/10.1109/dicta.2015.7371292","mag":"2226414250"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2015.7371292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2015.7371292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5076753547","display_name":"John See","orcid":"https://orcid.org/0000-0003-3005-4109"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"John See","raw_affiliation_strings":["Faculty of Computing and Informatics Multimedia University Cyberjaya, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing and Informatics Multimedia University Cyberjaya, Selangor, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090139049","display_name":"Saimunur Rahman","orcid":"https://orcid.org/0000-0002-5250-5612"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Saimunur Rahman","raw_affiliation_strings":["Faculty of Computing and Informatics Multimedia University Cyberjaya, Selangor, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing and Informatics Multimedia University Cyberjaya, Selangor, Malaysia","institution_ids":["https://openalex.org/I173029219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076753547"],"corresponding_institution_ids":["https://openalex.org/I173029219"],"apc_list":null,"apc_paid":null,"fwci":0.749,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79997366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9987000226974487,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8303160071372986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7939401865005493},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7571980357170105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5532740354537964},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5454434156417847},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5404084920883179},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.530761182308197},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5129003524780273},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46654438972473145},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.460342675447464},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41042694449424744}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8303160071372986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7939401865005493},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7571980357170105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5532740354537964},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5454434156417847},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5404084920883179},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.530761182308197},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5129003524780273},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46654438972473145},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.460342675447464},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41042694449424744},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta.2015.7371292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2015.7371292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:shdl.mmu.edu.my:6660","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196753","display_name":"Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173029219","host_organization_name":"Multimedia University","host_organization_lineage":["https://openalex.org/I173029219"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W28988658","https://openalex.org/W61677869","https://openalex.org/W1463620690","https://openalex.org/W1492807824","https://openalex.org/W1530517206","https://openalex.org/W1606858007","https://openalex.org/W1970350918","https://openalex.org/W1975325338","https://openalex.org/W1976921161","https://openalex.org/W1983705368","https://openalex.org/W1993229407","https://openalex.org/W2016053056","https://openalex.org/W2020163092","https://openalex.org/W2034014085","https://openalex.org/W2034328688","https://openalex.org/W2084250485","https://openalex.org/W2108333036","https://openalex.org/W2109235804","https://openalex.org/W2109761267","https://openalex.org/W2111308925","https://openalex.org/W2126574503","https://openalex.org/W2126579184","https://openalex.org/W2131042978","https://openalex.org/W2133993360","https://openalex.org/W2139916508","https://openalex.org/W2142194269","https://openalex.org/W2142996775","https://openalex.org/W2158169396","https://openalex.org/W2163352848","https://openalex.org/W2163808566","https://openalex.org/W2308045930","https://openalex.org/W4249279051","https://openalex.org/W6628812324"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W1996690921"],"abstract_inverted_index":{"Human":[0],"activity":[1],"recognition":[2,16,70],"is":[3],"one":[4],"of":[5,11,23,43,63,102,112,133,159],"the":[6,41,61,100,110,117,136,141,157,160],"most":[7],"intensively":[8],"studied":[9],"areas":[10],"computer":[12],"vision":[13],"and":[14,38,50,82,87,94,120,140],"pattern":[15],"in":[17,53,67],"recent":[18],"years.":[19],"A":[20],"wide":[21],"variety":[22],"approaches":[24],"have":[25],"shown":[26],"to":[27,98,115],"work":[28],"well":[29],"against":[30],"challenging":[31,51],"image":[32],"variations":[33],"such":[34],"as":[35],"appearance,":[36],"pose":[37],"illumination.":[39],"However,":[40],"problem":[42],"low":[44,64],"video":[45,65],"quality":[46,66],"remains":[47],"an":[48],"unexplored":[49],"issue":[52],"real-world":[54],"applications.":[55],"In":[56,96],"this":[57],"paper,":[58],"we":[59,108],"investigate":[60],"effects":[62],"human":[68],"action":[69],"from":[71],"two":[72,129,148],"perspectives:":[73],"videos":[74,89],"that":[75],"are":[76],"poorly":[77],"sampled":[78],"spatially":[79],"(low":[80,84],"resolution)":[81],"temporally":[83],"frame":[85],"rate),":[86],"compressed":[88],"affected":[90],"by":[91],"motion":[92,121],"blurring":[93],"artifacts.":[95],"order":[97],"increase":[99],"robustness":[101],"feature":[103],"representation":[104,150],"under":[105],"these":[106],"conditions,":[107],"propose":[109],"usage":[111],"textural":[113],"features":[114],"complement":[116],"popular":[118,149],"shape":[119],"features.":[122],"Extensive":[123],"experiments":[124],"were":[125],"carried":[126],"out":[127],"on":[128],"well-known":[130],"benchmark":[131],"datasets":[132],"contrasting":[134],"nature:":[135],"classic":[137],"KTH":[138],"dataset":[139],"large-scale":[142],"HMDB51":[143],"dataset.":[144],"Results":[145],"obtained":[146],"with":[147],"schemes":[151],"(Bag-of-Words,":[152],"Fisher":[153],"Vectors)":[154],"further":[155],"validate":[156],"effectiveness":[158],"proposed":[161],"approach.":[162]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}