{"id":"https://openalex.org/W2042759615","doi":"https://doi.org/10.1145/2699662","title":"TASC","display_name":"TASC","publication_year":2015,"publication_date":"2015-02-17","ids":{"openalex":"https://openalex.org/W2042759615","doi":"https://doi.org/10.1145/2699662","mag":"2042759615"},"language":"en","primary_location":{"id":"doi:10.1145/2699662","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2699662","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5023918894","display_name":"Yonghong Tian","orcid":"https://orcid.org/0000-0002-2978-5935"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yonghong Tian","raw_affiliation_strings":["Peking University, Beijing China","Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034509291","display_name":"Mengren Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengren Qian","raw_affiliation_strings":["Peking University, Beijing China","Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058066577","display_name":"Tiejun Huang","orcid":"https://orcid.org/0000-0002-4234-6099"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejun Huang","raw_affiliation_strings":["Peking University, Beijing China","Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023918894"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.5523,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74287294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"33","issue":"2","first_page":"1","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T11439","display_name":"Video Analysis and Summarization","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/T12357","display_name":"Digital Media Forensic Detection","score":0.9962999820709229,"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":0.8734127879142761},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7088191509246826},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6266000270843506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5383153557777405},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5006382465362549},{"id":"https://openalex.org/keywords/decision-boundary","display_name":"Decision boundary","score":0.4880744218826294},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.46736404299736023},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.44077837467193604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4219292998313904},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3684523105621338},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3584032654762268},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3566422760486603},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17676609754562378}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8734127879142761},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7088191509246826},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6266000270843506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5383153557777405},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5006382465362549},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.4880744218826294},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.46736404299736023},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.44077837467193604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4219292998313904},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3684523105621338},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3584032654762268},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3566422760486603},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17676609754562378},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2699662","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2699662","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W83334756","https://openalex.org/W395933519","https://openalex.org/W1557167465","https://openalex.org/W1677409904","https://openalex.org/W1972511124","https://openalex.org/W1987264320","https://openalex.org/W1998720309","https://openalex.org/W2004497706","https://openalex.org/W2009112943","https://openalex.org/W2012807450","https://openalex.org/W2025284791","https://openalex.org/W2025432722","https://openalex.org/W2030433417","https://openalex.org/W2043321742","https://openalex.org/W2045678891","https://openalex.org/W2052675543","https://openalex.org/W2054614919","https://openalex.org/W2057692953","https://openalex.org/W2061781238","https://openalex.org/W2070208691","https://openalex.org/W2075236886","https://openalex.org/W2077656272","https://openalex.org/W2077845136","https://openalex.org/W2079289990","https://openalex.org/W2080215741","https://openalex.org/W2085632516","https://openalex.org/W2086542379","https://openalex.org/W2088156168","https://openalex.org/W2091154729","https://openalex.org/W2091456459","https://openalex.org/W2095704959","https://openalex.org/W2096395091","https://openalex.org/W2096691797","https://openalex.org/W2097387583","https://openalex.org/W2106533568","https://openalex.org/W2106714663","https://openalex.org/W2109190643","https://openalex.org/W2111904285","https://openalex.org/W2113276649","https://openalex.org/W2115328784","https://openalex.org/W2122715198","https://openalex.org/W2124795170","https://openalex.org/W2125574651","https://openalex.org/W2126130784","https://openalex.org/W2128109799","https://openalex.org/W2133845638","https://openalex.org/W2140234987","https://openalex.org/W2144420897","https://openalex.org/W2145072179","https://openalex.org/W2149863314","https://openalex.org/W2153635508","https://openalex.org/W2153866672","https://openalex.org/W2158490568","https://openalex.org/W2162659160","https://openalex.org/W2181927457","https://openalex.org/W2182750845","https://openalex.org/W2295034158","https://openalex.org/W2917778613","https://openalex.org/W4234288597","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2924161931","https://openalex.org/W2981213860","https://openalex.org/W2019469476","https://openalex.org/W103332046","https://openalex.org/W598997827","https://openalex.org/W2580636385","https://openalex.org/W3127069801","https://openalex.org/W4294023778","https://openalex.org/W2407058613","https://openalex.org/W2408513648"],"abstract_inverted_index":{"How":[0],"to":[1,58,136,150,169,198,211,219,229,234],"precisely":[2],"and":[3,49,145,176,224,227,256],"efficiently":[4],"detect":[5],"near-duplicate":[6],"copies":[7,175,223],"with":[8,23,161,259],"complicated":[9],"audiovisual":[10],"transformations":[11],"from":[12,142],"a":[13,18,29,55,63,95,132,138,146,190,231,260],"large-scale":[14],"video":[15,37],"database":[16],"is":[17,98,210],"challenging":[19],"task.":[20],"To":[21,88],"cope":[22],"this":[24,26],"challenge,":[25],"article":[27],"proposes":[28],"transformation-aware":[30,56],"soft":[31,194],"cascading":[32],"(TASC)":[33],"approach":[34,42],"for":[35,51,204,216],"multimodal":[36],"copy":[38,108,120,157,253],"detection.":[39],"Basically,":[40],"our":[41],"divides":[43],"query":[44],"videos":[45,92,144],"into":[46],"some":[47],"categories":[48],"then":[50],"each":[52,67,205,217],"category":[53],"designs":[54],"chain":[57],"organize":[59],"several":[60],"detectors":[61,72,82],"in":[62,75,85,100,182],"cascade":[64],"structure.":[65],"In":[66],"chain,":[68],"efficient":[69],"but":[70,80],"simple":[71],"are":[73,83,93,160,178],"placed":[74],"the":[76,86,101,105,112,125,152,162,166,171,174,183,186,200,221,248],"forepart,":[77],"whereas":[78],"effective":[79],"complex":[81],"located":[84],"rear.":[87],"judge":[89],"whether":[90],"two":[91,143,214],"near-duplicates,":[94],"Detection-on-Copy-Units":[96],"mechanism":[97],"introduced":[99],"TASC,":[102],"which":[103],"makes":[104],"decision":[106,195],"of":[107,140,155],"detection":[109,254],"depending":[110],"on":[111,242],"similarity":[113],"between":[114],"their":[115,156],"most":[116],"similar":[117],"fractions,":[118],"called":[119,193],"units":[121],"(CUs),":[122],"rather":[123],"than":[124],"video-level":[126],"similarity.":[127],"Following":[128],"this,":[129],"we":[130],"propose":[131],"CU":[133],"search":[134],"algorithm":[135,149],"find":[137,151],"pair":[139],"CUs":[141,164],"CU-based":[147],"localization":[148,257],"precise":[153],"locations":[154],"segments":[158],"that":[159,173,247],"asserted":[163],"as":[165],"center.":[167],"Moreover,":[168],"address":[170],"problem":[172],"noncopies":[177],"possibly":[179],"linearly":[180],"inseparable":[181],"feature":[184],"space,":[185],"TASC":[187,249],"also":[188],"introduces":[189],"flexible":[191],"strategy,":[192],"boundary":[196],",":[197],"replace":[199],"single":[201],"threshold":[202],"strategy":[203],"detector.":[206],"Its":[207],"basic":[208],"idea":[209],"automatically":[212],"learn":[213],"thresholds":[215],"detector":[218],"examine":[220],"easy-to-judge":[222],"noncopies,":[225],"respectively,":[226],"meanwhile":[228],"train":[230],"nonlinear":[232],"classifier":[233],"further":[235],"check":[236],"those":[237],"hard-to-judge":[238],"ones.":[239],"Extensive":[240],"experiments":[241],"three":[243],"benchmark":[244],"datasets":[245],"showed":[246],"can":[250],"achieve":[251],"excellent":[252],"accuracy":[255],"precision":[258],"very":[261],"high":[262],"processing":[263],"efficiency.":[264]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}