{"id":"https://openalex.org/W1977022047","doi":"https://doi.org/10.1145/1282280.1282333","title":"Appearance-based video clustering in 2D locality preserving projection subspace","display_name":"Appearance-based video clustering in 2D locality preserving projection subspace","publication_year":2007,"publication_date":"2007-07-09","ids":{"openalex":"https://openalex.org/W1977022047","doi":"https://doi.org/10.1145/1282280.1282333","mag":"1977022047"},"language":"en","primary_location":{"id":"doi:10.1145/1282280.1282333","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1282280.1282333","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/A5045713145","display_name":"Li-Qun Xu","orcid":"https://orcid.org/0000-0001-6315-4240"},"institutions":[{"id":"https://openalex.org/I1332878012","display_name":"BT Group (United Kingdom)","ror":"https://ror.org/00kv9pj15","country_code":"GB","type":"company","lineage":["https://openalex.org/I1332878012"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Li-Qun Xu","raw_affiliation_strings":["BT Group Research &amp; Venturing, Ipswich, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BT Group Research &amp; Venturing, Ipswich, UK","institution_ids":["https://openalex.org/I1332878012"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372676","display_name":"Bin Luo","orcid":"https://orcid.org/0000-0001-5948-5055"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Luo","raw_affiliation_strings":["Anhui University, Hefei, Anhui, China","Anhui University, Hefei, Anhui, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Anhui University, Hefei, Anhui, China#TAB#","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0512,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73994035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"356","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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"}},"topics":[{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9990000128746033,"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/T10057","display_name":"Face and Expression Recognition","score":0.9986000061035156,"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/subspace-topology","display_name":"Subspace topology","score":0.7173525094985962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7099691033363342},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6688112020492554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6342329382896423},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.5472537875175476},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5278225541114807},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5253973603248596},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5135819911956787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5117404460906982},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5015289783477783},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.44672051072120667},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4335050582885742},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1606370508670807}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7173525094985962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7099691033363342},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6688112020492554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6342329382896423},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.5472537875175476},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5278225541114807},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5253973603248596},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5135819911956787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5117404460906982},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5015289783477783},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.44672051072120667},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4335050582885742},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1606370508670807},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1282280.1282333","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1282280.1282333","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1530272000","https://openalex.org/W1568008003","https://openalex.org/W1590368632","https://openalex.org/W1951534873","https://openalex.org/W1992419399","https://openalex.org/W2002830978","https://openalex.org/W2021270867","https://openalex.org/W2031095833","https://openalex.org/W2063532964","https://openalex.org/W2090341258","https://openalex.org/W2094998392","https://openalex.org/W2102544846","https://openalex.org/W2103588207","https://openalex.org/W2117553576","https://openalex.org/W2121647436","https://openalex.org/W2142189054","https://openalex.org/W2150938184","https://openalex.org/W2154872931","https://openalex.org/W2156718197","https://openalex.org/W2163461766","https://openalex.org/W2165874743","https://openalex.org/W2612972698","https://openalex.org/W2999905431","https://openalex.org/W4205930639","https://openalex.org/W4285719527","https://openalex.org/W6682644385","https://openalex.org/W6684578312"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2007009951","https://openalex.org/W2082644203","https://openalex.org/W1980381208","https://openalex.org/W2350539780","https://openalex.org/W4313447068","https://openalex.org/W1637798125","https://openalex.org/W2367926634","https://openalex.org/W2158511632","https://openalex.org/W1499137908"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"introduce":[4],"an":[5,75],"effective":[6,37],"and":[7,41,67,103,124,128,178,189,229],"unified":[8],"approach":[9],"to":[10,35,144,150,220],"creating":[11],"quality":[12],"video":[13,60,209,214],"abstractions.":[14],"The":[15,137],"research":[16],"was":[17],"motivated":[18],"by":[19],"a":[20,59,90,145,160,204],"recently":[21],"developed":[22],"subspace":[23,97,109,139],"learning":[24],"method":[25],"called":[26],"2D-LPP,":[27],"or":[28,199],"two-dimensional":[29],"Locality":[30],"Preserving":[31],"Projection,":[32],"which":[33,184],"proved":[34],"be":[36,167],"for":[38,226],"dimensionality":[39],"reduction":[40],"discriminating":[42],"enough":[43],"in":[44,58,73,77,92,118,122,173],"'appearance-based'":[45],"image":[46,76,84],"recognitions.":[47],"By":[48],"exploiting":[49],"temporal":[50],"constraints":[51,188],"(sequential":[52],"correlations":[53],"/":[54],"contextual":[55],"content)":[56],"inherent":[57],"(vs.":[61],"random":[62],"collection":[63],"of":[64,70,131,195,207,223],"static":[65],"images)":[66],"the":[68,78,93,111,125,132,170,182,193,208,221,238],"use":[69],"two":[71],"2D-LPP":[72],"tandem,":[74],"original":[79,133],"extremely":[80],"high":[81],"(m\u00d7n)-dimensional":[82],"pixel-based":[83],"space":[85],"Im\u00d7n":[86,119],"is":[87,210],"transformed":[88],"into":[89],"point":[91],"compact":[94],"(d\u00d7d)-dimensional":[95],"feature":[96,108,138],"fd\u00d7d,":[98],"with":[99,246],"(d":[100,104],"\u226a":[101],"m)":[102],"<<":[105],"n).":[106],"This":[107],"has":[110],"desired":[112],"property":[113],"that":[114,237],"visually":[115],"similar":[116],"images":[117],"stay":[120],"close":[121],"fd\u00d7d":[123],"intrinsic":[126],"geometry":[127],"local":[129,179],"structure":[130],"data":[134,147],"are":[135,218,241],"preserved.":[136],"then":[140],"lends":[141],"itself":[142],"easily":[143],"conventional":[146],"clustering":[148,174],"technique":[149],"identify":[151],"suitably":[152],"scattered":[153],"but":[154],"temporally":[155],"connected":[156],"clusters.":[157],"If":[158],"necessary,":[159],"global":[161,177],"visual":[162],"colour":[163],"descriptor":[164],"can":[165],"also":[166],"used,":[168],"so":[169],"distance":[171],"metric":[172],"incorporates":[175],"both":[176],"characteristics.":[180],"From":[181],"clusters,":[183,196],"satisfy":[185],"some":[186],"cluster-validity":[187],"user":[190],"requirements":[191],"(e.g.,":[192],"number":[194],"most":[197,200],"stable":[198],"dynamic":[201],"content,":[202],"etc),":[203],"summary":[205],"storyboard":[206],"created,":[211],"comprising":[212],"pertinent":[213],"frames":[215],"whose":[216],"features":[217],"closest":[219],"centroid":[222],"each":[224],"cluster,":[225],"content":[227],"browsing":[228],"search":[230],"purposes.":[231],"Experiments":[232],"on":[233],"various":[234],"videos":[235],"show":[236],"summarisation":[239],"results":[240],"very":[242],"encouraging":[243],"when":[244],"compared":[245],"manually":[247],"acquired":[248],"'ground":[249],"truth'.":[250]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}