{"id":"https://openalex.org/W2980174592","doi":"https://doi.org/10.1109/jcsse.2019.8864200","title":"Impacts of Camera Frame Pacing for Video Recording on Time-Related Applications","display_name":"Impacts of Camera Frame Pacing for Video Recording on Time-Related Applications","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2980174592","doi":"https://doi.org/10.1109/jcsse.2019.8864200","mag":"2980174592"},"language":"en","primary_location":{"id":"doi:10.1109/jcsse.2019.8864200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse.2019.8864200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE)","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/A5031636123","display_name":"Nattapong Tangjui","orcid":"https://orcid.org/0009-0009-5715-5576"},"institutions":[{"id":"https://openalex.org/I86677382","display_name":"Silpakorn University","ror":"https://ror.org/02d0tyt78","country_code":"TH","type":"education","lineage":["https://openalex.org/I86677382"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Nattapong Tangjui","raw_affiliation_strings":["Department of Computing, Silpakorn University, Nakhon Pathom, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Silpakorn University, Nakhon Pathom, Thailand","institution_ids":["https://openalex.org/I86677382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036787832","display_name":"Pinyo Taeprasartsit","orcid":"https://orcid.org/0000-0003-3911-725X"},"institutions":[{"id":"https://openalex.org/I86677382","display_name":"Silpakorn University","ror":"https://ror.org/02d0tyt78","country_code":"TH","type":"education","lineage":["https://openalex.org/I86677382"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pinyo Taeprasartsit","raw_affiliation_strings":["Department of Computing, Silpakorn University, Nakhon Pathom, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Silpakorn University, Nakhon Pathom, Thailand","institution_ids":["https://openalex.org/I86677382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031636123"],"corresponding_institution_ids":["https://openalex.org/I86677382"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11245587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":null,"first_page":"364","last_page":"368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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":0.814883291721344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6787086725234985},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6295962333679199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5944647789001465},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.5717005133628845},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5527917146682739},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.4644266366958618},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.45562314987182617},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4108423888683319}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.814883291721344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6787086725234985},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6295962333679199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5944647789001465},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.5717005133628845},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5527917146682739},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.4644266366958618},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.45562314987182617},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4108423888683319},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jcsse.2019.8864200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse.2019.8864200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE)","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":16,"referenced_works":["https://openalex.org/W2003922338","https://openalex.org/W2008821584","https://openalex.org/W2010270685","https://openalex.org/W2015795623","https://openalex.org/W2069692225","https://openalex.org/W2084369572","https://openalex.org/W2099741732","https://openalex.org/W2128585298","https://openalex.org/W2167217202","https://openalex.org/W2270370225","https://openalex.org/W2278668276","https://openalex.org/W2464296310","https://openalex.org/W2534246797","https://openalex.org/W2757098479","https://openalex.org/W6678982255","https://openalex.org/W6695048561"],"related_works":["https://openalex.org/W2977517636","https://openalex.org/W4389850132","https://openalex.org/W1969179582","https://openalex.org/W1574724839","https://openalex.org/W1875422203","https://openalex.org/W2377190948","https://openalex.org/W2810129309","https://openalex.org/W4361855866","https://openalex.org/W2096476311","https://openalex.org/W3216382677"],"abstract_inverted_index":{"Nowadays,":[0],"computer":[1],"vision":[2],"is":[3,165,174],"a":[4,97,115,137],"common":[5,62,88],"tool":[6],"for":[7,25],"video":[8,31,89,116,146,153,180,199],"analysis.":[9],"Many":[10],"research":[11],"groups":[12],"have":[13],"put":[14],"significant":[15,203],"amount":[16],"of":[17,45,78,119,127,145,152,162,207],"effort":[18],"to":[19,93,106,166,190,220,240],"improve":[20],"robustness":[21,40],"in":[22,38,52,75,182],"these":[23],"applications":[24],"years.":[26],"We":[27,85],"hypothesized":[28],"that":[29,87,140,196],"the":[30,39,50,57,79,120,125,132,143,150,183,197],"input":[32],"itself":[33],"played":[34],"an":[35],"important":[36],"part":[37],"issue.":[41,121],"More":[42],"specifically,":[43],"inconsistency":[44],"frame":[46,99,187],"rate":[47,81],"negatively":[48],"affects":[49],"accuracy":[51,126,206],"time-related":[53,208],"applications.":[54,129,209],"To":[55,130],"validate":[56],"hypothesis,":[58],"we":[59,112],"explored":[60],"how":[61,71],"video-capturing":[63,138,214],"methods":[64,91,215,235],"performed":[65],"regarding":[66],"frame-rate":[67],"consistency":[68],"and":[69,82,111,169,185],"analyzed":[70],"it":[72,102],"affected":[73],"performance":[74],"image-based":[76],"measurements":[77],"heart":[80],"object":[83],"velocity.":[84],"found":[86],"capturing":[90,188],"failed":[92],"create":[94],"videos":[95],"with":[96],"regular":[98],"rate.":[100],"Yet,":[101],"could":[103],"be":[104],"hard":[105],"perceive":[107],"by":[108],"human":[109],"observers":[110],"may":[113],"process":[114],"without":[117],"awareness":[118],"This":[122],"inherently":[123],"lowers":[124],"certain":[128],"ameliorate":[131],"problem,":[133],"this":[134,163],"work":[135],"proposes":[136],"method":[139,164,201,224],"carefully":[141],"controls":[142],"pace":[144],"frames;":[147],"thereby,":[148],"making":[149],"intervals":[151],"frames":[154,181],"virtually":[155],"equal":[156],"as":[157],"intended.":[158],"The":[159],"main":[160],"idea":[161],"postpone":[167],"I/O":[168],"encoding":[170],"tasks":[171],"until":[172],"recording":[173],"finished":[175],"through":[176],"initially":[177],"storing":[178],"raw":[179],"memory":[184],"pacing":[186],"according":[189],"their":[191],"ideal":[192],"timing.":[193],"Experiments":[194],"demonstrated":[195],"proposed":[198],"frame-pacing":[200],"had":[202,216,225,236,245],"impacts":[204],"on":[205],"In":[210,230],"object-velocity":[211],"measurement,":[212,233],"typical":[213,234],"error":[217,226,237,246],"approximately":[218],"3":[219],"5%,":[221],"while":[222,243],"our":[223],"less":[227],"than":[228],"2%.":[229],"non-contact":[231],"heart-rate":[232],"about":[238],"6.8616":[239],"19.0021":[241],"bpm,":[242],"ours":[244],"merely":[247],"0.7548":[248],"bpm.":[249]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}