{"id":"https://openalex.org/W4205797940","doi":"https://doi.org/10.1109/m2vip49856.2021.9664996","title":"Network Video Frame-Skip Modeling and Simulation","display_name":"Network Video Frame-Skip Modeling and Simulation","publication_year":2021,"publication_date":"2021-11-26","ids":{"openalex":"https://openalex.org/W4205797940","doi":"https://doi.org/10.1109/m2vip49856.2021.9664996"},"language":"en","primary_location":{"id":"doi:10.1109/m2vip49856.2021.9664996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip49856.2021.9664996","pdf_url":null,"source":{"id":"https://openalex.org/S4363608277","display_name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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/A5083007810","display_name":"Jonathan Paul C. Cempron","orcid":null},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Jonathan Paul C. Cempron","raw_affiliation_strings":["Center for Automation Research, College of Computer Studies, De La Salle University, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"Center for Automation Research, College of Computer Studies, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009938176","display_name":"Joel Ilao","orcid":"https://orcid.org/0000-0001-7601-6605"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Joel P. Ilao","raw_affiliation_strings":["Center for Automation Research, College of Computer Studies, De La Salle University, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"Center for Automation Research, College of Computer Studies, De La Salle University, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083007810"],"corresponding_institution_ids":["https://openalex.org/I5996616"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16575461,"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":"552","last_page":"557"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9988999962806702,"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/computer-science","display_name":"Computer science","score":0.8245950937271118},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.7855682969093323},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5875657796859741},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5759124755859375},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5418681502342224},{"id":"https://openalex.org/keywords/residual-frame","display_name":"Residual frame","score":0.5018870830535889},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46242019534111023},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4536615312099457},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.44318336248397827},{"id":"https://openalex.org/keywords/inter-frame","display_name":"Inter frame","score":0.4400157034397125},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4305427074432373},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.402490496635437},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08679890632629395},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08309376239776611}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8245950937271118},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7855682969093323},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5875657796859741},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5759124755859375},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5418681502342224},{"id":"https://openalex.org/C204641915","wikidata":"https://www.wikidata.org/wiki/Q7315509","display_name":"Residual frame","level":4,"score":0.5018870830535889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46242019534111023},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4536615312099457},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.44318336248397827},{"id":"https://openalex.org/C39394851","wikidata":"https://www.wikidata.org/wiki/Q921594","display_name":"Inter frame","level":4,"score":0.4400157034397125},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4305427074432373},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.402490496635437},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08679890632629395},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08309376239776611}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/m2vip49856.2021.9664996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip49856.2021.9664996","pdf_url":null,"source":{"id":"https://openalex.org/S4363608277","display_name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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":22,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1975498367","https://openalex.org/W2033745884","https://openalex.org/W2124781496","https://openalex.org/W2135059988","https://openalex.org/W2146820038","https://openalex.org/W2150683269","https://openalex.org/W2165629849","https://openalex.org/W2222512263","https://openalex.org/W2252355370","https://openalex.org/W2966535964","https://openalex.org/W3001502827","https://openalex.org/W3104218139","https://openalex.org/W3141735797","https://openalex.org/W4231295697","https://openalex.org/W4293584584","https://openalex.org/W6639102338","https://openalex.org/W6665589107","https://openalex.org/W6682653716","https://openalex.org/W6688448663","https://openalex.org/W6750227808","https://openalex.org/W7027716524"],"related_works":["https://openalex.org/W1769856625","https://openalex.org/W2119751394","https://openalex.org/W2120898383","https://openalex.org/W1979421866","https://openalex.org/W2117554142","https://openalex.org/W2253699813","https://openalex.org/W2212921023","https://openalex.org/W2371404772","https://openalex.org/W2546118813","https://openalex.org/W2402509807"],"abstract_inverted_index":{"A":[0],"high":[1,76],"video":[2,21],"frame":[3,30,63,71,77,88,101],"rate":[4,89],"is":[5,14,16,47],"ideal":[6],"for":[7,20,69],"many":[8],"computer":[9,54],"vision":[10,55],"applications;":[11],"however,":[12],"this":[13,58],"not":[15],"usually":[17],"the":[18,43,87,104],"case":[19],"feeds":[22],"streamed":[23],"from":[24],"network":[25],"cameras,":[26],"which":[27],"also":[28],"exhibit":[29],"skipping.":[31],"Frame":[32],"skipping":[33,64,72,102],"can":[34],"be":[35],"considered":[36],"as":[37],"a":[38,67],"type":[39],"of":[40,42,91,106],"degradation":[41],"live-streamed":[44],"video,":[45],"and":[46,52,65,93],"detrimental":[48],"to":[49],"object":[50,108],"tracking":[51],"other":[53],"tasks.":[56],"In":[57],"paper,":[59],"we":[60,98],"empirically":[61],"model":[62],"present":[66],"method":[68,81],"simulating":[70],"using":[73],"videos":[74],"with":[75],"rates.":[78],"This":[79],"simulation":[80],"was":[82],"then":[83],"validated":[84],"by":[85],"comparing":[86],"histograms":[90],"real":[92],"simulated":[94],"frame-skipped":[95],"videos.":[96],"Finally,":[97],"demonstrate":[99],"how":[100],"degrades":[103],"performance":[105],"an":[107],"tracker.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
