{"id":"https://openalex.org/W3081018458","doi":"https://doi.org/10.1109/access.2020.3019503","title":"Video Key Frame Monitoring Algorithm and Virtual Reality Display Based on Motion Vector","display_name":"Video Key Frame Monitoring Algorithm and Virtual Reality Display Based on Motion Vector","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3081018458","doi":"https://doi.org/10.1109/access.2020.3019503","mag":"3081018458"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3019503","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3019503","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09178317.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09178317.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100407580","display_name":"Zhe Wang","orcid":"https://orcid.org/0000-0001-9026-834X"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhe Wang","raw_affiliation_strings":["Department of Physical Education, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0000-0001-9026-834X","affiliations":[{"raw_affiliation_string":"Department of Physical Education, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101738232","display_name":"Yan Zhu","orcid":"https://orcid.org/0000-0002-5778-1966"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhu","raw_affiliation_strings":["College of Marxism, Qufu Normal University, Rizhao, China"],"raw_orcid":"https://orcid.org/0000-0002-5778-1966","affiliations":[{"raw_affiliation_string":"College of Marxism, Qufu Normal University, Rizhao, China","institution_ids":["https://openalex.org/I202126657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100407580"],"corresponding_institution_ids":["https://openalex.org/I202126657"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1768,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.81423579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"159027","last_page":"159038"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9990000128746033,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9968000054359436,"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/key-frame","display_name":"Key frame","score":0.8534364700317383},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.7940886616706848},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7664116621017456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7443034648895264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7202366590499878},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.7128797173500061},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.5410787463188171},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.5393644571304321},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5362042784690857},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4786844849586487},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.4691160023212433},{"id":"https://openalex.org/keywords/residual-frame","display_name":"Residual frame","score":0.4281070828437805},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.3808770179748535},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3672177791595459},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.3394124507904053},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.2721259891986847}],"concepts":[{"id":"https://openalex.org/C2780139006","wikidata":"https://www.wikidata.org/wiki/Q1493902","display_name":"Key frame","level":3,"score":0.8534364700317383},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.7940886616706848},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7664116621017456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7443034648895264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7202366590499878},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.7128797173500061},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.5410787463188171},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.5393644571304321},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5362042784690857},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4786844849586487},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.4691160023212433},{"id":"https://openalex.org/C204641915","wikidata":"https://www.wikidata.org/wiki/Q7315509","display_name":"Residual frame","level":4,"score":0.4281070828437805},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.3808770179748535},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3672177791595459},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3394124507904053},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.2721259891986847},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3019503","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3019503","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09178317.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5fc42d953c5d41f9bf89802207c06d7e","is_oa":true,"landing_page_url":"https://doaj.org/article/5fc42d953c5d41f9bf89802207c06d7e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 159027-159038 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3019503","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3019503","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09178317.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3081018458.pdf","grobid_xml":"https://content.openalex.org/works/W3081018458.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W93821244","https://openalex.org/W2753234324","https://openalex.org/W2778498795","https://openalex.org/W2792406544","https://openalex.org/W2793628541","https://openalex.org/W2883616768","https://openalex.org/W2890480785","https://openalex.org/W2896695957","https://openalex.org/W2897727884","https://openalex.org/W2900337192","https://openalex.org/W2900826577","https://openalex.org/W2904263947","https://openalex.org/W2905831012","https://openalex.org/W2908333163","https://openalex.org/W2909640490","https://openalex.org/W2909697252","https://openalex.org/W2913119512","https://openalex.org/W2914109710","https://openalex.org/W2914563524","https://openalex.org/W2921444862","https://openalex.org/W2924115758","https://openalex.org/W2924911805","https://openalex.org/W2929656771","https://openalex.org/W2934318214","https://openalex.org/W2944927993","https://openalex.org/W2949298458","https://openalex.org/W2954896312","https://openalex.org/W2963386266","https://openalex.org/W2965536428","https://openalex.org/W2969831530","https://openalex.org/W3013933609","https://openalex.org/W3101275901"],"related_works":["https://openalex.org/W2386802389","https://openalex.org/W2372556888","https://openalex.org/W1969136679","https://openalex.org/W2119751394","https://openalex.org/W2070879308","https://openalex.org/W1579940903","https://openalex.org/W2031252497","https://openalex.org/W4250500397","https://openalex.org/W2402259974","https://openalex.org/W1991644358"],"abstract_inverted_index":{"In":[0,227],"this":[1,197,229],"article,":[2],"a":[3],"motion":[4,119,132,147,153,161,205],"vector-based":[5],"video":[6,35,68,89,103,169,201,251],"key":[7,36,179,237,246],"frame":[8,43,238,247],"detection":[9,87,193],"algorithm":[10,93,194],"is":[11,59,94,121,131,171,255],"proposed":[12,195],"to":[13,77,96,174,217],"solve":[14],"the":[15,25,29,34,39,46,54,57,62,65,79,84,98,102,107,113,118,124,127,136,150,155,166,175,192,200,209,222,225,233,260,267,271],"problem":[16],"of":[17,33,41,49,56,64,88,112,126,146,152,168,224,236,250,263,273],"miss":[18],"election":[19],"and":[20,45,53,105,123,140,159,165,178,208,212,265,269],"missing":[21],"selection":[22],"caused":[23],"by":[24,74,134,258],"difficulty":[26],"in":[27,101,154,183,196,241,252],"detecting":[28],"moving":[30,115],"target":[31],"characteristics":[32],"frame.":[37],"Firstly,":[38],"entropy":[40,48],"adjacent":[42,138],"difference":[44,66],"two-dimensional":[47],"image":[50],"are":[51,72,163,181,215],"introduced,":[52,122],"combination":[55],"two":[58,137],"taken":[60],"as":[61],"measurement":[63],"between":[67],"frames.":[69],"Secondly,":[70],"outliers":[71],"detected":[73],"statistical":[75],"tools":[76],"obtain":[78],"lens":[80,86],"boundary,":[81],"thus":[82],"realizing":[83],"adaptive":[85],"content.":[90],"Then,":[91],"ViBe":[92],"used":[95],"detect":[97],"foreground":[99,114],"object":[100],"sequence":[104],"extract":[106],"scale-invariant":[108],"feature":[109],"transformation":[110],"features":[111],"object.":[116],"Finally,":[117],"vector":[120,133,148],"sum":[125],"block":[128,142],"matching":[129],"results":[130,189,202,240],"partitioning":[135],"frames":[139,170,180],"performing":[141],"matching.":[143],"The":[144,187,245],"magnitude":[145],"reflects":[149],"intensity":[151],"video,":[156],"so":[157],"active":[158],"inactive":[160],"regions":[162,185],"obtained,":[164],"similarity":[167],"calculated":[172],"according":[173],"defined":[176],"formula,":[177],"extracted":[182],"these":[184],"respectively.":[186],"experimental":[188],"show":[190],"that":[191],"article":[198,230],"improves":[199,221],"with":[203],"rich":[204],"information":[206,264],"obviously,":[207],"objective":[210],"indexes":[211],"subjective":[213],"scores":[214],"improved":[216],"some":[218],"extent,":[219],"which":[220],"universality":[223],"algorithm.":[226],"addition,":[228],"also":[231],"studies":[232],"display":[234,248,261],"mode":[235,249,262],"extraction":[239],"virtual":[242,253],"reality":[243,254],"environment.":[244],"optimized":[256],"mainly":[257],"changing":[259,266],"scene":[268],"testing":[270],"result":[272],"user":[274],"task":[275],"execution.":[276]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}