{"id":"https://openalex.org/W2771787483","doi":"https://doi.org/10.23919/spa.2017.8166884","title":"A novel inverted index file based searching strategy for video copy detection","display_name":"A novel inverted index file based searching strategy for video copy detection","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2771787483","doi":"https://doi.org/10.23919/spa.2017.8166884","mag":"2771787483"},"language":"en","primary_location":{"id":"doi:10.23919/spa.2017.8166884","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa.2017.8166884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","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/A5086473815","display_name":"Mengyang Liu","orcid":"https://orcid.org/0000-0003-3527-6907"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Mengyang Liu","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038133707","display_name":"Lai-Man Po","orcid":"https://orcid.org/0000-0002-5185-1492"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lai-man Po","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008554311","display_name":"Yasar Abbas Ur Rehman","orcid":"https://orcid.org/0000-0002-2945-7181"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yasar Abbas Ur Rehman","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070429299","display_name":"Xuyuan Xu","orcid":"https://orcid.org/0009-0000-6609-1046"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuyuan Xu","raw_affiliation_strings":["Tencent Video, Tencent Holdings Limited, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent Video, Tencent Holdings Limited, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100779262","display_name":"Yuming Li","orcid":"https://orcid.org/0000-0003-2219-9033"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Li","raw_affiliation_strings":["Autonomous driving lab, Tencent Holdings Limited, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autonomous driving lab, Tencent Holdings Limited, Beijing, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039785210","display_name":"Litong Feng","orcid":"https://orcid.org/0000-0002-6716-3520"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Litong Feng","raw_affiliation_strings":["SenseTime Group Limited, Hong Kong SAR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Group Limited, Hong Kong SAR China","institution_ids":["https://openalex.org/I4210128910"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"307","last_page":"312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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/T11439","display_name":"Video Analysis and Summarization","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.996399998664856,"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":0.8384857177734375},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.5444565415382385},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.48959237337112427},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.48733553290367126},{"id":"https://openalex.org/keywords/inverted-index","display_name":"Inverted index","score":0.46343594789505005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4596438407897949},{"id":"https://openalex.org/keywords/video-post-processing","display_name":"Video post-processing","score":0.41718360781669617},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.3947536051273346},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3681274652481079},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.3461487889289856},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.3069198727607727}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8384857177734375},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.5444565415382385},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.48959237337112427},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48733553290367126},{"id":"https://openalex.org/C130590232","wikidata":"https://www.wikidata.org/wiki/Q1671754","display_name":"Inverted index","level":3,"score":0.46343594789505005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4596438407897949},{"id":"https://openalex.org/C117090137","wikidata":"https://www.wikidata.org/wiki/Q7927977","display_name":"Video post-processing","level":5,"score":0.41718360781669617},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.3947536051273346},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3681274652481079},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.3461487889289856},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.3069198727607727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/spa.2017.8166884","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa.2017.8166884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","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":25,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W1469150282","https://openalex.org/W1498631286","https://openalex.org/W1528479218","https://openalex.org/W1556531089","https://openalex.org/W1990537115","https://openalex.org/W1993530675","https://openalex.org/W1998720309","https://openalex.org/W2065928200","https://openalex.org/W2095704959","https://openalex.org/W2107211792","https://openalex.org/W2115328784","https://openalex.org/W2130660124","https://openalex.org/W2142299222","https://openalex.org/W2144420897","https://openalex.org/W2151275088","https://openalex.org/W2158879015","https://openalex.org/W2162659160","https://openalex.org/W2185917628","https://openalex.org/W2334399436","https://openalex.org/W2344188636","https://openalex.org/W2398496805","https://openalex.org/W3145609436","https://openalex.org/W6629940712","https://openalex.org/W6702997599"],"related_works":["https://openalex.org/W2385001686","https://openalex.org/W1508427695","https://openalex.org/W1623638113","https://openalex.org/W2377190948","https://openalex.org/W2899854151","https://openalex.org/W1574724839","https://openalex.org/W4221117092","https://openalex.org/W2032827369","https://openalex.org/W357838764","https://openalex.org/W2096476311"],"abstract_inverted_index":{"The":[0,85,148],"demand":[1],"of":[2,13,45,90,118,122,202],"video":[3,15,29,52,77,97,127,141,158,169,225],"copy":[4,53,78,159,226],"detection":[5,54,79,160,227],"system":[6,80,161],"is":[7,47,111,133,153,184,206],"growing":[8],"rapidly,":[9],"as":[10,42],"the":[11,20,24,28,37,43,103,116,176,191,199,203,209],"development":[12],"online":[14],"uploading":[16],"and":[17,96,168,183],"sharing.":[18],"In":[19,61],"past":[21],"two":[22,91],"decades,":[23],"research":[25],"concentrates":[26],"on":[27,115,155],"information":[30],"extraction":[31],"or":[32],"feature":[33],"building":[34],"rather":[35],"than":[36,138,208],"fast":[38,49,68,150],"searching":[39,50,69,87,151,178,200],"strategy.":[40],"However,":[41],"number":[44],"videos":[46],"growing,":[48],"in":[51,223],"systems":[55],"has":[56],"become":[57],"a":[58,66,107,144,217],"big":[59],"issue.":[60],"this":[62],"paper,":[63],"we":[64],"propose":[65,136],"novel":[67],"strategy":[70,152],"for":[71],"Inverted":[72],"Index":[73],"File":[74],"(IIF)":[75],"based":[76],"by":[81],"using":[82],"fingerprinting":[83,164],"technology.":[84],"proposed":[86,149,177,204],"approach":[88,179,205],"consists":[89],"parts":[92],"-":[93],"fingerprint":[94,104,131],"matching":[95,105],"fragment":[98,128],"matching.":[99],"To":[100],"speed":[101],"up":[102],"process,":[106],"table":[108],"lookup":[109],"operation":[110],"utilized":[112],"that":[113,175,213],"rely":[114],"counting":[117],"matched":[119,140],"sub-fingerprints":[120],"instead":[121],"Hamming":[123],"Distance":[124],"metric.":[125],"For":[126],"matching,":[129],"all":[130],"candidate":[132,142,219],"used":[134,222],"to":[135,220],"more":[137],"one":[139],"with":[143,162,190,196],"different":[145,163],"similarity":[146],"score.":[147],"tested":[154],"experimental":[156],"content-based":[157],"methods,":[165],"distortion":[166],"types":[167],"database":[170,197],"scale.":[171],"Experimental":[172],"results":[173],"show":[174],"achieve":[180],"high":[181],"accuracy,":[182],"around":[185],"10":[186],"times":[187],"faster":[188,207],"compared":[189],"conventional":[192,210],"IIF":[193,211],"method.":[194],"Moreover,":[195],"upscaling,":[198],"rate":[201],"methods":[212],"further":[214],"make":[215],"it":[216],"potential":[218],"be":[221],"large-scale":[224],"systems.":[228]},"counts_by_year":[{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}