{"id":"https://openalex.org/W2009617299","doi":"https://doi.org/10.1145/1282280.1282341","title":"The use of temporal, semantic and visual partitioning model for efficient near-duplicate keyframe detection in large scale news corpus","display_name":"The use of temporal, semantic and visual partitioning model for efficient near-duplicate keyframe detection in large scale news corpus","publication_year":2007,"publication_date":"2007-07-09","ids":{"openalex":"https://openalex.org/W2009617299","doi":"https://doi.org/10.1145/1282280.1282341","mag":"2009617299"},"language":"en","primary_location":{"id":"doi:10.1145/1282280.1282341","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1282280.1282341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM international conference on Image and video retrieval","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/A5111540763","display_name":"Yan-Tao Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yan-Tao Zheng","raw_affiliation_strings":["National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074554707","display_name":"Shi-Yong Neo","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shi-Yong Neo","raw_affiliation_strings":["National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089404640","display_name":"Tat\u2010Seng Chua","orcid":"https://orcid.org/0000-0001-6097-7807"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tat-Seng Chua","raw_affiliation_strings":["National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111172356","display_name":"Qi Tian","orcid":"https://orcid.org/0000-0003-1690-9836"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Qi Tian","raw_affiliation_strings":["Institute for Infocomm Research, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3139,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79396702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"409","last_page":"416"},"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":0.9945999979972839,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.805748701095581},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.7701254487037659},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.5491216778755188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5485076904296875},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.49298331141471863},{"id":"https://openalex.org/keywords/transitive-relation","display_name":"Transitive relation","score":0.4714064598083496},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45582374930381775},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43681958317756653},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3994981646537781},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34667521715164185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08090463280677795}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.805748701095581},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.7701254487037659},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.5491216778755188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5485076904296875},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.49298331141471863},{"id":"https://openalex.org/C191399111","wikidata":"https://www.wikidata.org/wiki/Q64861","display_name":"Transitive relation","level":2,"score":0.4714064598083496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45582374930381775},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43681958317756653},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3994981646537781},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34667521715164185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08090463280677795},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1282280.1282341","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1282280.1282341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM international conference on Image and video retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/41511","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/41511","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1537942797","https://openalex.org/W1917380066","https://openalex.org/W1967666795","https://openalex.org/W1980911747","https://openalex.org/W2000215441","https://openalex.org/W2044139120","https://openalex.org/W2046624828","https://openalex.org/W2055289292","https://openalex.org/W2083087666","https://openalex.org/W2120887753","https://openalex.org/W2131846894","https://openalex.org/W2145072179","https://openalex.org/W2148694408","https://openalex.org/W2150349631","https://openalex.org/W2151103935","https://openalex.org/W2177274842","https://openalex.org/W3022076219","https://openalex.org/W3160851792","https://openalex.org/W4233164864","https://openalex.org/W4292023222","https://openalex.org/W6776946238"],"related_works":["https://openalex.org/W2345915074","https://openalex.org/W2009824857","https://openalex.org/W2098658853","https://openalex.org/W2018445155","https://openalex.org/W2342738858","https://openalex.org/W2729514902","https://openalex.org/W2974718886","https://openalex.org/W1981153982","https://openalex.org/W2889582799","https://openalex.org/W1982375519"],"abstract_inverted_index":{"Near-duplicate":[0],"keyframes":[1,168],"(NDKs)":[2],"are":[3,148],"important":[4],"visual":[5,44,118],"cues":[6],"to":[7,47,65,183],"link":[8,75],"news":[9,31,91],"stories":[10],"from":[11],"different":[12,158],"TV":[13],"channel,":[14],"time,":[15],"language,":[16],"etc.":[17],"However,":[18],"the":[19,49,82,141,184,190],"quadratic":[20],"complexity":[21],"required":[22],"for":[23],"NDK":[24,122,143,191],"detection":[25,192],"renders":[26],"it":[27],"intractable":[28],"in":[29,69,145,176,179,193],"large-scale":[30],"video":[32],"corpus.":[33],"To":[34],"address":[35],"this":[36],"issue,":[37],"we":[38,99,120],"propose":[39],"a":[40,194],"temporal,":[41],"semantic":[42],"and":[43,59,73,88,95,188],"partitioning":[45],"model":[46],"divide":[48,81],"corpus":[50,60,83,165],"into":[51,85,90],"small":[52],"overlapping":[53],"partitions":[54,87],"by":[55,104,124,157],"exploiting":[56,125],"domain":[57],"knowledge":[58],"characteristics.":[61],"This":[62],"enables":[63],"us":[64],"efficiently":[66],"detect":[67,121],"NDKs":[68,103,155],"each":[70,97,117,146],"partition":[71,147],"separately":[72],"then":[74],"them":[76],"together":[77],"across":[78],"partitions.":[79,159],"We":[80],"temporally":[84],"sequential":[86],"semantically":[89],"story":[92],"genre":[93],"groups;":[94],"within":[96],"partition,":[98],"visually":[100],"group":[101],"potential":[102],"using":[105],"asymmetric":[106],"hierarchical":[107],"k-means":[108],"clustering":[109],"on":[110,134,162],"our":[111,126,171],"proposed":[112,127,172],"semi-global":[113],"image":[114],"features.":[115],"In":[116],"group,":[119],"pairs":[123],"SIFT-based":[128],"fast":[129],"keypoint":[130],"matching":[131],"scheme":[132],"based":[133],"local":[135],"color":[136],"information":[137],"of":[138,154],"keypoints.":[139],"Finally,":[140],"detected":[142],"groups":[144],"linked":[149],"up":[150],"via":[151],"transitivity":[152],"propagation":[153],"shared":[156],"The":[160],"testing":[161],"TRECVID":[163],"06":[164],"with":[166,197],"62k":[167],"shows":[169],"that":[170],"approach":[173,187],"could":[174],"result":[175],"multifold":[177],"increase":[178],"speed":[180],"as":[181],"compared":[182],"best":[185],"reported":[186],"complete":[189],"manageable":[195],"time":[196],"satisfactory":[198],"accuracy.":[199]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
