{"id":"https://openalex.org/W4390188684","doi":"https://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361324","title":"A Novel Fast Video Fragment Matching Algorithm for Copyright Protection","display_name":"A Novel Fast Video Fragment Matching Algorithm for Copyright Protection","publication_year":2023,"publication_date":"2023-11-14","ids":{"openalex":"https://openalex.org/W4390188684","doi":"https://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361324"},"language":"en","primary_location":{"id":"doi:10.1109/dasc/picom/cbdcom/cy59711.2023.10361324","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","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/A5101435389","display_name":"Yan Chen","orcid":"https://orcid.org/0000-0002-5236-2148"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Chen","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University,Fuzhou,China,350108"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University,Fuzhou,China,350108","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008435796","display_name":"Zhongliao Yang","orcid":"https://orcid.org/0009-0004-9650-6037"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongliao Yang","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University,Fuzhou,China,350108"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University,Fuzhou,China,350108","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063173925","display_name":"Chen Dong","orcid":"https://orcid.org/0000-0001-5826-1906"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Dong","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University,Fuzhou,China,350108"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University,Fuzhou,China,350108","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037848927","display_name":"Hui Lin","orcid":"https://orcid.org/0000-0003-1716-1399"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Lin","raw_affiliation_strings":["College of Computer and Cyber Security, Fujian Normal University,Fuzhou,China,350007"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Fujian Normal University,Fuzhou,China,350007","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081579818","display_name":"Zhenyi Chen","orcid":"https://orcid.org/0000-0001-9498-4300"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenyi Chen","raw_affiliation_strings":["University of South Florida,Department of Computer Science and Engineering,Tampa,FL,USA,33620"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of South Florida,Department of Computer Science and Engineering,Tampa,FL,USA,33620","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1123,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44104809,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9740999937057495,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9740999937057495,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.942300021648407,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9372000098228455,"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":0.7857388257980347},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7772191166877747},{"id":"https://openalex.org/keywords/fragment","display_name":"Fragment (logic)","score":0.7289544343948364},{"id":"https://openalex.org/keywords/digital-video","display_name":"Digital video","score":0.5930289030075073},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5656293630599976},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.47651684284210205},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.45570382475852966},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.43244653940200806},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.37078994512557983},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.342792809009552},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3356417119503021},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32962602376937866},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16674098372459412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7857388257980347},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7772191166877747},{"id":"https://openalex.org/C2776235265","wikidata":"https://www.wikidata.org/wiki/Q18392052","display_name":"Fragment (logic)","level":2,"score":0.7289544343948364},{"id":"https://openalex.org/C2988454689","wikidata":"https://www.wikidata.org/wiki/Q173131","display_name":"Digital video","level":3,"score":0.5930289030075073},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5656293630599976},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.47651684284210205},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.45570382475852966},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.43244653940200806},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.37078994512557983},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.342792809009552},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3356417119503021},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32962602376937866},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16674098372459412},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dasc/picom/cbdcom/cy59711.2023.10361324","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)","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":19,"referenced_works":["https://openalex.org/W1985108724","https://openalex.org/W2055906546","https://openalex.org/W2059245310","https://openalex.org/W2069342529","https://openalex.org/W2162659160","https://openalex.org/W2766972810","https://openalex.org/W2914885528","https://openalex.org/W2997667300","https://openalex.org/W3120529956","https://openalex.org/W3136964648","https://openalex.org/W3198284931","https://openalex.org/W3207015681","https://openalex.org/W4281874271","https://openalex.org/W4293237682","https://openalex.org/W4311791625","https://openalex.org/W4380358461","https://openalex.org/W4385801717","https://openalex.org/W6639541013","https://openalex.org/W6791353385"],"related_works":["https://openalex.org/W2125918940","https://openalex.org/W1574724839","https://openalex.org/W2073477885","https://openalex.org/W3119099368","https://openalex.org/W2032827369","https://openalex.org/W1965045080","https://openalex.org/W2377190948","https://openalex.org/W2096476311","https://openalex.org/W4389850132","https://openalex.org/W181787362"],"abstract_inverted_index":{"The":[0,107],"rise":[1],"of":[2,35,40,64,92,112,124,171],"the":[3,12,38,46,51,89,110,120,125,130,135,138,145,160,169],"short-form":[4],"video":[5,43,65,90,101,127,131,156,172],"industry":[6],"marks":[7],"a":[8,61,99,152],"revolutionary":[9],"change":[10],"in":[11,144],"digital":[13,53],"media":[14],"landscape.":[15],"This":[16,148],"has":[17,28],"opened":[18],"up":[19],"new":[20],"opportunities":[21],"for":[22,49,155],"content":[23],"distribution":[24],"and":[25,56,87,159],"creation":[26],"but":[27],"also":[29,150],"brought":[30],"about":[31],"several":[32],"challenges,":[33],"one":[34],"which":[36,116],"is":[37],"difficulty":[39],"effectively":[41,85,167],"protecting":[42],"copyrights.":[44],"In":[45],"industrial":[47,52],"sector,":[48],"example,":[50],"design,":[54],"manufacturing,":[55],"production":[57],"process":[58],"often":[59],"generate":[60],"large":[62],"amount":[63],"data.":[66],"If":[67],"these":[68],"videos":[69],"are":[70,142],"stolen,":[71],"copied,":[72],"or":[73,94],"tampered":[74],"with":[75],"by":[76],"unauthorized":[77],"third":[78],"parties,":[79],"infringement":[80],"issues":[81],"can":[82,166],"arise.":[83],"To":[84],"monitor":[86],"protect":[88],"copyrights":[91],"users":[93],"enterprises,":[95],"this":[96],"paper":[97,149],"proposes":[98],"lightweight":[100],"clip":[102],"fast":[103],"matching":[104,132],"(KMP-FVFM)":[105],"algorithm.":[106],"algorithm":[108],"utilizes":[109],"idea":[111],"Knuth-Morris-Pratt":[113],"(KMP)":[114],"algorithm,":[115],"takes":[117],"into":[118],"account":[119],"inter-frame":[121],"fragment":[122,157,173],"relationship":[123],"query":[126],"to":[128],"improve":[129,168],"speed.":[133],"At":[134],"same":[136],"time,":[137],"duplicate":[139],"segment":[140],"locations":[141],"pinpointed":[143],"original":[146],"video.":[147],"implements":[151],"plain":[153],"method":[154],"matching,":[158],"experimental":[161],"results":[162],"show":[163],"that":[164],"KMP-FVFM":[165],"efficiency":[170],"matching.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}