{"id":"https://openalex.org/W2591954901","doi":"https://doi.org/10.1109/icdsp.2016.7868529","title":"Robust video copy detection in large-scale TV streams using local features and CFAR based threshold","display_name":"Robust video copy detection in large-scale TV streams using local features and CFAR based threshold","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2591954901","doi":"https://doi.org/10.1109/icdsp.2016.7868529","mag":"2591954901"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2016.7868529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2016.7868529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5110516420","display_name":"G\u00f6khan \u00d6zbulak","orcid":"https://orcid.org/0000-0001-5568-1622"},"institutions":[{"id":"https://openalex.org/I4210141511","display_name":"TUBITAK BILGEM","ror":"https://ror.org/057kvja37","country_code":"TR","type":"government","lineage":["https://openalex.org/I4210141511"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Gokhan Ozbulak","raw_affiliation_strings":["T\u00dcBITAK-B\u0130LGEM, Kocaeli, TURKEY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"T\u00dcBITAK-B\u0130LGEM, Kocaeli, TURKEY","institution_ids":["https://openalex.org/I4210141511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055064638","display_name":"Fatih Kahraman","orcid":"https://orcid.org/0000-0002-8393-3425"},"institutions":[{"id":"https://openalex.org/I4210141511","display_name":"TUBITAK BILGEM","ror":"https://ror.org/057kvja37","country_code":"TR","type":"government","lineage":["https://openalex.org/I4210141511"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Fatih Kahraman","raw_affiliation_strings":["T\u00dcBITAK-B\u0130LGEM, Kocaeli, TURKEY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"T\u00dcBITAK-B\u0130LGEM, Kocaeli, TURKEY","institution_ids":["https://openalex.org/I4210141511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005727336","display_name":"S\u00fcleyman Baykut","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141511","display_name":"TUBITAK BILGEM","ror":"https://ror.org/057kvja37","country_code":"TR","type":"government","lineage":["https://openalex.org/I4210141511"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Suleyman Baykut","raw_affiliation_strings":["T\u00dcBITAK-B\u0130LGEM, Kocaeli, TURKEY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"T\u00dcBITAK-B\u0130LGEM, Kocaeli, TURKEY","institution_ids":["https://openalex.org/I4210141511"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210141511"],"apc_list":null,"apc_paid":null,"fwci":0.4026,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74168048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2016","issue":null,"first_page":"124","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9998000264167786,"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T11165","display_name":"Image and Video Quality Assessment","score":0.986299991607666,"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":0.8307687640190125},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.6885549426078796},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6378165483474731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6250642538070679},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49557173252105713},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4871613681316376},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4027721881866455}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8307687640190125},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.6885549426078796},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6378165483474731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6250642538070679},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49557173252105713},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4871613681316376},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4027721881866455},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdsp.2016.7868529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2016.7868529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},{"id":"mag:2752914325","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/201702259951622789","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W171684531","https://openalex.org/W1488131479","https://openalex.org/W1991837931","https://openalex.org/W2012807450","https://openalex.org/W2054614919","https://openalex.org/W2059245310","https://openalex.org/W2077798396","https://openalex.org/W2111633771","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2144420897","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2979691948","https://openalex.org/W6676913172"],"related_works":["https://openalex.org/W2998914036","https://openalex.org/W2388326001","https://openalex.org/W2770593030","https://openalex.org/W1977671905","https://openalex.org/W4281727072","https://openalex.org/W4312219546","https://openalex.org/W4320921117","https://openalex.org/W2390565185","https://openalex.org/W3154990682","https://openalex.org/W2171975302"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,18],"robust":[4],"video":[5,31,65,69,82,101,182],"copy":[6,102,111,174],"detection":[7,103,175],"system":[8,26,150,171],"is":[9,17,87],"proposed":[10,25,149],"for":[11,50,172],"the":[12,22,28,59,62,67,76,80,85,100,107,125,132,138,148,167,170,173],"broadcast":[13,179],"TV":[14],"stream":[15],"that":[16,147],"challenging":[19],"task":[20,176],"in":[21,55,70,177],"wild.":[23],"The":[24,72],"extracts":[27],"signatures":[29],"of":[30,61,79,124,154,160,169],"frames":[32],"with":[33,66,84,121],"Speeded-Up":[34],"Robust":[35],"Features":[36],"(SURF)":[37],"keypoints,":[38],"which":[39,98],"are":[40],"described":[41],"by":[42,91,105,165],"Oriented":[43],"Fast":[44],"and":[45,52,137,156,162,180],"Rotated":[46],"Brief":[47],"(ORB)":[48],"descriptors":[49],"compact":[51],"efficient":[53],"representation,":[54],"order":[56],"to":[57],"match":[58],"parts":[60,83],"given":[63],"reference":[64,81],"query":[68,86],"interest.":[71],"resulting":[73],"signal":[74],"representing":[75],"similarity":[77],"scores":[78],"then":[88],"adaptively":[89],"thresholded":[90],"Constant":[92],"False":[93],"Alarm":[94],"Rate":[95],"(CFAR)":[96],"approach,":[97],"improves":[99],"accuracy":[104],"exposing":[106],"strong":[108],"peaks":[109,117],"(i.e.,":[110,118],"locations)":[112],"while":[113],"discarding":[114],"weak":[115],"peaks/no":[116],"non-copy":[119],"locations),":[120],"dynamic":[122],"setting":[123],"false":[126],"alarm":[127],"probability.":[128],"Extensive":[129],"experiments":[130],"on":[131],"publicly":[133],"available":[134],"MUSCLE-VCD-2007":[135],"Dataset":[136,142],"BILGEM":[139],"Video":[140],"Broadcast":[141],"2015":[143],"(BVBD":[144],"2015)":[145],"show":[146],"achieves":[151],"precision":[152],"values":[153,159],"100.0%":[155],"91.8%,":[157],"recall":[158],"90.0%":[161],"99.3%":[163],"respectively":[164],"proving":[166],"robustness":[168],"both":[178],"web":[181],"streams.":[183]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
