{"id":"https://openalex.org/W2183374753","doi":null,"title":"Participation at TRECVID 2011 Semantic Indexing & Content-based Copy Detection Tasks.","display_name":"Participation at TRECVID 2011 Semantic Indexing & Content-based Copy Detection Tasks.","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2183374753","mag":"2183374753"},"language":"en","primary_location":{"id":"mag:2183374753","doi":null,"is_oa":false,"landing_page_url":"https://www-nlpir.nist.gov/projects/tvpubs/tv11.papers/iupr-dfki.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},"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/A5101660306","display_name":"Wan\u2010Lei Zhao","orcid":"https://orcid.org/0000-0002-7915-447X","observed_orcids":["https://orcid.org/0000-0002-7915-447X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan\u2010Lei Zhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065722787","display_name":"Damian Borth","orcid":"https://orcid.org/0000-0002-4660-2627","observed_orcids":["https://orcid.org/0000-0002-4660-2627"]},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046","https://openalex.org/I4387152675"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Damian Borth","raw_affiliation_strings":["University of Kaiserslautern"],"raw_orcid":"https://orcid.org/0000-0002-4660-2627","affiliations":[{"raw_affiliation_string":"University of Kaiserslautern","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088840119","display_name":"Thomas Michael Breuel","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046","https://openalex.org/I4387152675"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas M. Breuel","raw_affiliation_strings":["University of Kaiserslautern"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kaiserslautern","institution_ids":["https://openalex.org/I153267046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9404,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77732342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.6851000189781189,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.6851000189781189,"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":0.21250000596046448,"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":0.08619999885559082,"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/semantic-indexing","display_name":"semantic indexing","score":0.8740000128746033},{"id":"https://openalex.org/keywords/content-based-copy-detection","display_name":"content-based copy detection","score":0.9570000171661377},{"id":"https://openalex.org/keywords/video-indexing","display_name":"video indexing","score":0.7940000295639038},{"id":"https://openalex.org/keywords/fisher-kernel","display_name":"Fisher kernel","score":0.6309999823570251},{"id":"https://openalex.org/keywords/color-correlogram","display_name":"color correlogram","score":0.9100000262260437},{"id":"https://openalex.org/keywords/sift","display_name":"SIFT","score":0.6320000290870667},{"id":"https://openalex.org/keywords/bag-of-words","display_name":"bag-of-words","score":0.6600000262260437},{"id":"https://openalex.org/keywords/keypoint-features","display_name":"keypoint features","score":0.6520000100135803}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.9270935654640198},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6494066715240479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5933996438980103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5922675132751465},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5236423015594482},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.516576886177063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49012383818626404},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4726147949695587},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3104228079319},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2634431719779968},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.061456382274627686},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06042224168777466},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2183374753","doi":null,"is_oa":false,"landing_page_url":"https://www-nlpir.nist.gov/projects/tvpubs/tv11.papers/iupr-dfki.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":18,"referenced_works":["https://openalex.org/W187309317","https://openalex.org/W1551909886","https://openalex.org/W1556531089","https://openalex.org/W1605811577","https://openalex.org/W1607586839","https://openalex.org/W1917380066","https://openalex.org/W2012592962","https://openalex.org/W2109506130","https://openalex.org/W2112020727","https://openalex.org/W2127765465","https://openalex.org/W2137117795","https://openalex.org/W2144127483","https://openalex.org/W2145400576","https://openalex.org/W2146855196","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2186552890","https://openalex.org/W2248282706"],"related_works":["https://openalex.org/W7097300494","https://openalex.org/W2186731817","https://openalex.org/W1751332681","https://openalex.org/W7098772851","https://openalex.org/W7099014091","https://openalex.org/W3021535044","https://openalex.org/W2151050420","https://openalex.org/W2185641991","https://openalex.org/W7209868239","https://openalex.org/W2187317636"],"abstract_inverted_index":{"Semantic":[0],"Indexing":[1],"Task":[2],"(SIN)":[3,107],"Run":[4,6,8,60,62,64],"No.":[5,61],"ID":[7,63],"Description":[9,65],"infMAP":[10],"(%)":[11],"1":[12,16,67],"F":[13,23,33,47],"A":[14,24,34,48],"IUPR-DFKI":[15,25,35,49,100],"Fisher":[17,37,51],"Kernel":[18,38,52],"+":[19,29,43,53],"SVMs":[20,30,44],"2.86":[21],"2":[22,26,71],"Color":[27,41],"Correlogram":[28],"5.38":[31],"3":[32,36,75],"fused":[39],"with":[40,149],"Correlograms":[42],"5.0":[45],"4":[46,50,79],"kNN":[54],"0.71":[55],"Content-based":[56],"Copy":[57],"Detection":[58],"(CCD)":[59,114],"Opt.NDCR":[66],"*iupr-dfki.fsift":[68],"F-SIFT+BoW+HE+EWGC":[69,73],"0.776":[70],"*iupr-dfki.fsift2":[72],"0.923":[74],"SIFT":[76,182],"SIFT+BoW+HE+EWGC":[77],"0.884":[78],"SIFT+PV":[80],"SIFT+BoW+HE+EWGC+PV":[81],"0.501":[82],"5":[83],"F-SIFT+PV":[84],"F-SIFT+BoW+HE+EWGC+PV":[85],"0.446":[86],"*:":[87],"officially":[88],"submitted":[89],"run.":[90],"This":[91],"paper":[92],"describes":[93],"the":[94,99,103,138,179,188],"TRECVID":[95],"2011":[96],"participation":[97,120,147,174],"of":[98,127,164],"team":[101],"in":[102,184],"semantic":[104],"indexing":[105],"task":[106,113],"and":[108,161],"content":[109],"based":[110],"copy":[111],"detection":[112],"task.":[115],"For":[116,170],"SIN,":[117],"this":[118,172],"years":[119,173],"was":[121],"dominated":[122],"by":[123,198],"an":[124],"significant":[125],"increase":[126],"vocabulary":[128],"concept":[129],"size":[130],"from":[131],"130":[132],"to":[133,144,151],"346":[134],"concepts.":[135],"In":[136],"particular":[137],"system":[139],"setup":[140],"has":[141],"been":[142],"changed":[143],"last":[145],"year\u2019s":[146],"[6]":[148],"respect":[150],"computational":[152,156],"demands":[153],"employing":[154],"less":[155],"costly":[157],"features":[158],"for":[159],"classification":[160],"no":[162],"usage":[163],"external":[165],"training":[166],"sources":[167],"like":[168],"YouTube.":[169],"CCD,":[171],"is":[175],"aimed":[176],"at":[177],"testing":[178],"flip":[180],"invariant":[181],"applied":[183],"video-only":[185],"CCD.":[186],"At":[187],"same":[189],"time,":[190],"we":[191,195],"investigated":[192],"how":[193],"well":[194],"could":[196],"achieve":[197],"relying":[199],"on":[200],"one":[201],"keypoint":[202],"feature":[203],"alone.":[204]},"counts_by_year":[{"year":2012,"cited_by_count":3}],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2016-06-24T00:00:00"}