{"id":"https://openalex.org/W2220866976","doi":"https://doi.org/10.1109/eusipco.2015.7362699","title":"Shot aggregating strategy for near-duplicate video retrieval","display_name":"Shot aggregating strategy for near-duplicate video retrieval","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2220866976","doi":"https://doi.org/10.1109/eusipco.2015.7362699","mag":"2220866976"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://inria.hal.science/hal-01164350","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077649898","display_name":"Vignesh Srinivasan","orcid":"https://orcid.org/0000-0002-5320-3974"},"institutions":[{"id":"https://openalex.org/I4210121266","display_name":"Technicolor (France)","ror":"https://ror.org/02ya5n776","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210121266"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vignesh Srinivasan","raw_affiliation_strings":["Technicolor, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technicolor, France","institution_ids":["https://openalex.org/I4210121266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103363943","display_name":"Fr\u00e9d\u00e9ric Lef\u00e8bvre","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121266","display_name":"Technicolor (France)","ror":"https://ror.org/02ya5n776","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210121266"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Frederic Lefebvre","raw_affiliation_strings":["Technicolor, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technicolor, France","institution_ids":["https://openalex.org/I4210121266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073788938","display_name":"Alexey Ozerov","orcid":"https://orcid.org/0000-0003-4834-5166"},"institutions":[{"id":"https://openalex.org/I4210121266","display_name":"Technicolor (France)","ror":"https://ror.org/02ya5n776","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210121266"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexey Ozerov","raw_affiliation_strings":["Technicolor, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technicolor, France","institution_ids":["https://openalex.org/I4210121266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1137363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1825","last_page":"1829"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9980999827384949,"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":0.8881183862686157},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7607603669166565},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6734511256217957},{"id":"https://openalex.org/keywords/video-retrieval","display_name":"Video retrieval","score":0.6496967077255249},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5454862117767334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5059208273887634},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4598795473575592},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4069259762763977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3738968074321747},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.373786985874176},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10804727673530579}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8881183862686157},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7607603669166565},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6734511256217957},{"id":"https://openalex.org/C2983174267","wikidata":"https://www.wikidata.org/wiki/Q3775098","display_name":"Video retrieval","level":2,"score":0.6496967077255249},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5454862117767334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5059208273887634},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4598795473575592},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4069259762763977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3738968074321747},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.373786985874176},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10804727673530579},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eusipco.2015.7362699","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01164350v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01164350","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"23rd European Signal Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01164350v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01164350","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"23rd European Signal Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1498631286","https://openalex.org/W1584228047","https://openalex.org/W1606858007","https://openalex.org/W1880913381","https://openalex.org/W1963988319","https://openalex.org/W1966385142","https://openalex.org/W1986482242","https://openalex.org/W1995672060","https://openalex.org/W1996135397","https://openalex.org/W2012592962","https://openalex.org/W2025432722","https://openalex.org/W2044059828","https://openalex.org/W2049601808","https://openalex.org/W2071027807","https://openalex.org/W2086542379","https://openalex.org/W2097211398","https://openalex.org/W2105315789","https://openalex.org/W2109446955","https://openalex.org/W2113276649","https://openalex.org/W2124795170","https://openalex.org/W2125838338","https://openalex.org/W2128109799","https://openalex.org/W2129795158","https://openalex.org/W2144127483","https://openalex.org/W2147238549","https://openalex.org/W2151103935","https://openalex.org/W2153866672","https://openalex.org/W2158740289","https://openalex.org/W2162659160","https://openalex.org/W2165798132","https://openalex.org/W2248625678","https://openalex.org/W6629940712","https://openalex.org/W6639541013","https://openalex.org/W6674843492","https://openalex.org/W6691013284"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W4294892107","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,94],"new":[6],"strategy":[7],"for":[8,22,131,138],"near-duplicate":[9,133],"video":[10,96,134],"retrieval":[11,135],"that":[12,85,128],"is":[13,43,59,69,111,122,129],"based":[14,44],"on":[15,45,75,79,124],"shot":[16,23,106],"aggregation.":[17],"We":[18,83],"investigate":[19],"different":[20,146],"methods":[21],"aggregation":[24,42,61,68,118],"with":[25,105],"the":[26,31,56,60,63,76,80,86,89,109,114,117,125,132],"main":[27],"objective":[28],"to":[29],"solve":[30],"difficult":[32],"trade-off":[33],"between":[34],"performance,":[35],"scalability":[36,87],"and":[37,88,137],"speed.":[38],"The":[39,48,67,120],"proposed":[40],"short":[41],"two":[46],"steps.":[47],"first":[49],"step":[50],"consists":[51],"of":[52,62,116],"keyframes":[53,64],"selection.":[54],"And":[55],"second":[57],"one":[58],"per":[65],"shot.":[66],"performed":[70],"by":[71,93,145],"applying":[72],"Fisher":[73],"vector":[74],"descriptors":[77],"computed":[78],"selected":[81],"keyframes.":[82],"demonstrate":[84],"speed":[90],"are":[91],"tackled":[92],"sparse":[95],"analysis":[97],"approach":[98],"(i.e.":[99],"extracting":[100],"only":[101],"few":[102],"keyframes)":[103],"combined":[104],"aggregation,":[107],"while":[108],"performance":[110,121],"discussed":[112],"around":[113],"choice":[115],"strategy.":[119],"evaluated":[123],"CC_WEB_VIDEO":[126],"dataset":[127],"designed":[130],"assessment":[136],"which":[139],"some":[140],"experiments":[141],"have":[142],"been":[143],"conducted":[144],"authors.":[147]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}