{"id":"https://openalex.org/W2163196988","doi":"https://doi.org/10.1145/2072298.2071967","title":"Detection and location of near-duplicate video sub-clips by finding dense subgraphs","display_name":"Detection and location of near-duplicate video sub-clips by finding dense subgraphs","publication_year":2011,"publication_date":"2011-11-28","ids":{"openalex":"https://openalex.org/W2163196988","doi":"https://doi.org/10.1145/2072298.2071967","mag":"2163196988"},"language":"en","primary_location":{"id":"doi:10.1145/2072298.2071967","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2072298.2071967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Multimedia","raw_type":"proceedings-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/A5103073431","display_name":"Tianlong Chen","orcid":"https://orcid.org/0000-0001-7774-8197"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianlong Chen","raw_affiliation_strings":["Institute of Computing Technology Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085719285","display_name":"Shuqiang Jiang","orcid":"https://orcid.org/0000-0002-1596-4326"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuqiang Jiang","raw_affiliation_strings":["Institute of Computing Technology Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007946897","display_name":"Lingyang Chu","orcid":"https://orcid.org/0000-0002-8937-1750"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyang Chu","raw_affiliation_strings":["Institute of Computing Technology Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["Graduate University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7851,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77472369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1173","last_page":"1176"},"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":0.9994999766349792,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9850999712944031,"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":0.8063122034072876},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5710822939872742},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5699601769447327},{"id":"https://openalex.org/keywords/clips","display_name":"CLIPS","score":0.5321240425109863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4952224791049957},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40231209993362427},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2595062851905823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8063122034072876},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5710822939872742},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5699601769447327},{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.5321240425109863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4952224791049957},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40231209993362427},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2595062851905823},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2072298.2071967","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2072298.2071967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2018369373","https://openalex.org/W2062903088","https://openalex.org/W2096395091","https://openalex.org/W2098894541","https://openalex.org/W2099614383","https://openalex.org/W2099968307","https://openalex.org/W2107232987","https://openalex.org/W2111633771","https://openalex.org/W2116108330","https://openalex.org/W2128109799","https://openalex.org/W2131846894","https://openalex.org/W2145793757","https://openalex.org/W2161561128","https://openalex.org/W2162659160","https://openalex.org/W2170548426","https://openalex.org/W6676913172","https://openalex.org/W6683423765"],"related_works":["https://openalex.org/W2417253731","https://openalex.org/W2350469024","https://openalex.org/W17155033","https://openalex.org/W2491583298","https://openalex.org/W2036154621","https://openalex.org/W2327827625","https://openalex.org/W2395860100","https://openalex.org/W795077857","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Robust":[0],"and":[1,108,182,191],"fast":[2],"near-duplicate":[3,27,42,63,142],"video":[4,64,72],"detection":[5],"is":[6,31,80,144],"an":[7],"important":[8],"task":[9],"with":[10,47,179],"many":[11],"potential":[12],"applications.":[13],"Most":[14],"existing":[15],"systems":[16],"focus":[17],"on":[18,176],"the":[19,92,95,99,105,115,134,147,152,157,177,189,194],"comparison":[20],"between":[21],"full":[22],"copy":[23],"videos":[24,39],"or":[25],"partial":[26],"videos.":[28],"While":[29],"it":[30],"more":[32],"challenging":[33],"to":[34,60,82,146,163,168],"find":[35],"similar":[36],"content":[37],"for":[38,74],"containing":[40],"multiple":[41],"segments":[43],"at":[44],"random":[45],"locations":[46],"various":[48,180],"connections.":[49],"In":[50,112],"this":[51,113,165],"paper,":[52],"we":[53,67],"propose":[54],"a":[55,69,78,121],"new":[56,70],"graph":[57,79,93,130,161],"based":[58],"method":[59,159],"detect":[61],"complex":[62,135,141,183],"sub-clips.":[65,138],"First,":[66],"develop":[68],"succinct":[71],"descriptor":[73],"keyframe":[75],"match.":[76],"Then":[77],"established":[81],"exploit":[83],"temporal":[84,106,184],"consistency":[85],"of":[86,91,137,149,160,193],"matched":[87,96,117],"keyframes.":[88],"The":[89,172,186],"nodes":[90,125],"are":[94,102,126,174],"frame":[97,109],"pairs;":[98],"edge":[100],"weights":[101],"computed":[103],"from":[104],"alignment":[107],"pair":[110],"similarities.":[111],"way,":[114],"validly":[116],"keyframes":[118],"would":[119],"form":[120],"dense":[122,153],"subgraph":[123],"whose":[124],"strongly":[127],"connected.":[128],"This":[129],"model":[131],"also":[132],"preserves":[133],"connections":[136],"Thus":[139],"detecting":[140],"sub-clips":[143],"transformed":[145],"problem":[148,166],"finding":[150],"all":[151],"subgraphs.":[154],"We":[155],"employ":[156],"optimization":[158],"shift":[162],"solve":[164],"due":[167],"its":[169],"robust":[170],"performance.":[171],"experiments":[173],"conducted":[175],"dataset":[178],"transformations":[181],"relations.":[185],"results":[187],"demonstrate":[188],"effectiveness":[190],"efficiency":[192],"proposed":[195],"method.":[196]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}