{"id":"https://openalex.org/W3215155327","doi":"https://doi.org/10.1109/icce-tw52618.2021.9602931","title":"Investigation on Error-Tolerability Enhancement of Videos via Re-Encoding for Computer Vision: A Case Study on Object Detection","display_name":"Investigation on Error-Tolerability Enhancement of Videos via Re-Encoding for Computer Vision: A Case Study on Object Detection","publication_year":2021,"publication_date":"2021-09-15","ids":{"openalex":"https://openalex.org/W3215155327","doi":"https://doi.org/10.1109/icce-tw52618.2021.9602931","mag":"3215155327"},"language":"en","primary_location":{"id":"doi:10.1109/icce-tw52618.2021.9602931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw52618.2021.9602931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","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/A5028476747","display_name":"Tong-Yu Hsieh","orcid":"https://orcid.org/0000-0002-7954-5569"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tong-Yu Hsieh","raw_affiliation_strings":["National Sun Yat-sen University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046677452","display_name":"Jun-Tsung Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jun-Tsung Wu","raw_affiliation_strings":["National Sun Yat-sen University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028476747"],"corresponding_institution_ids":["https://openalex.org/I142974352"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41650327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9997000098228455,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9997000098228455,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9993000030517578,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8104702830314636},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.7143533229827881},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6662523150444031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6191281676292419},{"id":"https://openalex.org/keywords/tolerability","display_name":"Tolerability","score":0.5755556225776672},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.494926393032074},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4704258441925049},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4139573574066162},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.21251341700553894},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06393992900848389}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8104702830314636},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7143533229827881},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6662523150444031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6191281676292419},{"id":"https://openalex.org/C2778375690","wikidata":"https://www.wikidata.org/wiki/Q7814214","display_name":"Tolerability","level":3,"score":0.5755556225776672},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.494926393032074},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4704258441925049},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4139573574066162},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.21251341700553894},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06393992900848389},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-tw52618.2021.9602931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw52618.2021.9602931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2099971661","https://openalex.org/W2133665775","https://openalex.org/W2796347433","https://openalex.org/W3033391883","https://openalex.org/W3093684056","https://openalex.org/W4293584584","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W4311628015","https://openalex.org/W3191427281","https://openalex.org/W2087016115","https://openalex.org/W2305775430","https://openalex.org/W2783315223","https://openalex.org/W1990197915","https://openalex.org/W2465571689","https://openalex.org/W2427186628","https://openalex.org/W4287991909","https://openalex.org/W4390721878"],"abstract_inverted_index":{"Run-time":[0],"video":[1,38,77,102,134,138],"re-encoding":[2,103],"via":[3],"adjusting":[4],"the":[5,20,32,92,119],"Group":[6],"of":[7,22,52,95,121,127],"Pictures":[8],"(GOP)":[9],"size":[10],"has":[11],"been":[12],"shown":[13],"to":[14,17,37,78,90,132],"be":[15],"able":[16],"effectively":[18],"enhance":[19],"error-tolerability":[21,120],"videos.":[23,97],"However,":[24],"this":[25,41,46,69],"study":[26],"was":[27],"done":[28],"by":[29,48,60],"focusing":[30],"on":[31,45],"human":[33],"visual":[34],"system\u2019s":[35],"perception":[36],"errors.":[39],"In":[40,68],"paper":[42],"we":[43],"investigate":[44],"issue":[47],"taking":[49],"machine\u2019s":[50],"tolerability":[51],"errors":[53,71],"into":[54,74],"consideration.":[55],"Objection":[56],"detection":[57],"carried":[58],"out":[59],"yolov3":[61,87],"is":[62,88,123],"employed":[63,89],"as":[64],"a":[65,75],"case":[66],"study.":[67],"study,":[70],"are":[72],"injected":[73],"benchmark":[76],"generate":[79],"more":[80],"than":[81,125],"100,000":[82],"erroneous":[83],"videos,":[84],"and":[85,140],"then":[86],"evaluate":[91],"quality":[93],"(acceptability)":[94],"these":[96],"The":[98],"results":[99],"demonstrate":[100],"that":[101,118,126],"can":[104,130],"have":[105],"higher":[106],"application":[107],"efficiency":[108,136],"(e.g.,":[109],"larger":[110,124],"GOP":[111],"size)":[112,139],"for":[113,144],"computer":[114],"vision,":[115],"mainly":[116],"because":[117],"machines":[122],"humans.":[128],"This":[129],"lead":[131],"better":[133],"encoding":[135],"(smaller":[137],"lower":[141],"implementation":[142],"cost":[143],"re-encoding.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
