{"id":"https://openalex.org/W3021067638","doi":null,"title":"Telefonica Research at TRECVID 2011 Content-Based Copy Detection.","display_name":"Telefonica Research at TRECVID 2011 Content-Based Copy Detection.","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W3021067638","mag":"3021067638"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.221.7444","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.7444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-nlpir.nist.gov/projects/tvpubs/tv11.papers/telefonica.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5051383020","display_name":"Xavier Anguera","orcid":"https://orcid.org/0000-0001-8659-3991","observed_orcids":["https://orcid.org/0000-0001-8659-3991"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xavier Anguera","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8659-3991","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011397030","display_name":"Tomasz Adamek","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomasz Adamek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074014873","display_name":"Daru Xu","orcid":"https://orcid.org/0009-0004-9036-8067","observed_orcids":["https://orcid.org/0009-0004-9036-8067"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daru Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5050260698","display_name":"Juan Manuel Barrios","orcid":"https://orcid.org/0000-0002-1235-9788","observed_orcids":["https://orcid.org/0000-0002-1235-9788"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juan Manuel Barrios","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1235-9788","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3135,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62850062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"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/T11439","display_name":"Video Analysis and Summarization","score":0.4496999979019165,"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":0.4496999979019165,"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":0.17399999499320984,"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/T11309","display_name":"Music and Audio Processing","score":0.10050000250339508,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/video-copy-detection","display_name":"video copy detection","score":0.9710000157356262},{"id":"https://openalex.org/keywords/multimodal-fusion","display_name":"multimodal fusion","score":0.7480000257492065},{"id":"https://openalex.org/keywords/decision-level-fusion","display_name":"decision fusion","score":0.8190000057220459},{"id":"https://openalex.org/keywords/local-image-descriptors","display_name":"local image descriptors","score":0.8069999814033508},{"id":"https://openalex.org/keywords/video-fingerprinting","display_name":"video fingerprinting","score":0.5440000295639038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5279865860939026},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.4326986074447632},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3804561197757721},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2070571482181549},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.221.7444","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.7444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-nlpir.nist.gov/projects/tvpubs/tv11.papers/telefonica.pdf","raw_type":"text"},{"id":"mag:3021067638","doi":null,"is_oa":false,"landing_page_url":"https://www-nlpir.nist.gov/projects/tvpubs/tv11.papers/telefonica.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306533295","display_name":"TRECVID","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"TRECVID","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W122994913","https://openalex.org/W1677409904","https://openalex.org/W1710569269","https://openalex.org/W1965650022","https://openalex.org/W1972511124","https://openalex.org/W2062903088","https://openalex.org/W2151103935","https://openalex.org/W2151383851"],"related_works":["https://openalex.org/W1710569269","https://openalex.org/W7098752494","https://openalex.org/W3022093635","https://openalex.org/W70268638","https://openalex.org/W2135687122","https://openalex.org/W1498631286","https://openalex.org/W3186760159","https://openalex.org/W1972511124","https://openalex.org/W7011702158","https://openalex.org/W2527334262"],"abstract_inverted_index":{"Abstract\u2014This":[0],"notebook":[1],"paper":[2],"summarizes":[3],"the":[4,11,16,29,50,83,94,97,112,131,143,146,159,168,175,193,202,219,223,240,262,274],"algorithms":[5],"behind":[6],"Telefonica":[7],"Research":[8],"participation":[9],"in":[10,65,154],"NIST-TRECVID":[12],"2011":[13],"evaluation":[14,203],"on":[15,26,93,111,261],"Video":[17],"Copy":[18],"Detection":[19],"task.":[20],"This":[21,107,128,151],"year":[22,59,118,245],"we":[23,60,163,196,212,228,237],"have":[24,61,197,238,247],"focused":[25],"1)":[27],"Improving":[28],"image-based":[30],"matching":[31],"system":[32,140,180],"to":[33,77,201,222,254],"better":[34],"process":[35],"video":[36,102],"files;":[37],"2)":[38],"implemented":[39],"and":[40,47,87,100,199,246,271],"tested":[41],"a":[42,120],"novel":[43,121,204],"audio":[44,99,122,205],"local":[45,98,101,185,206],"fingerprint;":[46],"3)":[48],"improved":[49,239],"multimodality":[51],"fusion":[52,95,132,241],"algorithm":[53,242],"from":[54,136,145,243,257,273],"last":[55,244],"year.":[56],"For":[57],"this":[58,117,171],"submitted":[62],"4":[63],"runs":[64],"total,":[66],"whose":[67],"main":[68,79],"characteristics":[69],"are":[70,91,164,229],"described":[71],"below:":[72],"\u2022":[73,105,126],"TID.m.[BALANCED/NOFA].multimodal:":[74],"These":[75],"correspond":[76],"our":[78,137,155,178,269],"submissions,":[80],"both":[81],"for":[82,158,170],"no":[84],"false":[85],"alarm":[86],"balanced":[88],"profiles.":[89],"They":[90],"based":[92,110],"between":[96],"monomodal":[103,113,139],"systems.":[104],"TID.m.BALANCED.mask:":[106],"submission":[108,129,152],"is":[109,130,181],"audio-based":[114],"system,":[115],"which":[116],"uses":[119],"fingerprint":[123],"called":[124,208],"MASK.":[125,209],"TID.m.BALANCED.joint:":[127],"(at":[133],"decision":[134],"level)":[135],"two":[138],"outputs":[141],"with":[142,167,232],"output":[144],"PRISMA":[147,275],"group":[148],"video-only":[149],"system.":[150],"resulted":[153],"best":[156],"results":[157,169,256,263],"evaluation.":[160,173],"Over":[161],"all,":[162],"very":[165,230],"pleased":[166],"year\u2019s":[172],"On":[174,192],"one":[176,267],"hand,":[177,195],"video-based":[179],"reaching":[182],"maturity,":[183],"using":[184],"image":[186],"descriptors":[187],"(DART)":[188],"developed":[189,198],"by":[190,265],"Telefonica.":[191],"other":[194],"applied":[200],"features":[207],"Even":[210],"though":[211],"did":[213],"not":[214],"spend":[215],"much":[216],"time":[217],"tuning":[218],"new":[220],"feature":[221],"Trecvid":[224],"copy":[225],"detection":[226],"datasets,":[227],"please":[231],"its":[233],"results.":[234],"In":[235],"addition,":[236],"shown":[248],"that":[249],"it":[250],"does":[251],"work":[252],"well":[253],"fuse":[255],"multiple":[258],"outputs,":[259],"improving":[260],"obtained":[264],"either":[266],"of":[268],"systems":[270],"those":[272],"submission.":[276],"I.":[277]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-05-13T00:00:00"}
