{"id":"https://openalex.org/W2024300039","doi":"https://doi.org/10.1109/icip.2010.5654073","title":"HFAG: Hierarchical Frame Affinity Group for video retrieval on very large video dataset","display_name":"HFAG: Hierarchical Frame Affinity Group for video retrieval on very large video dataset","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2024300039","doi":"https://doi.org/10.1109/icip.2010.5654073","mag":"2024300039"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5654073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5654073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5080042531","display_name":"Yin-Jun Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinjun Miao","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Department of Computer Science and Technology,Tsinghua Univ,Beijing 100084,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Computer Science and Technology,Tsinghua Univ,Beijing 100084,China)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407035","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0002-7427-793X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Department of Computer Science and Technology,Tsinghua Univ,Beijing 100084,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Computer Science and Technology,Tsinghua Univ,Beijing 100084,China)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009228005","display_name":"Peng Cui","orcid":"https://orcid.org/0000-0003-2957-8511"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Cui","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Department of Computer Science and Technology,Tsinghua Univ,Beijing 100084,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Computer Science and Technology,Tsinghua Univ,Beijing 100084,China)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033103531","display_name":"Lifen Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifen Sun","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Department of Computer Science and Technology,Tsinghua Univ,Beijing 100084,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Computer Science and Technology,Tsinghua Univ,Beijing 100084,China)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090751520","display_name":"Pin Tao","orcid":"https://orcid.org/0000-0003-2687-7997"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pin Tao","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Department of Computer Science and Technology,Tsinghua Univ,Beijing 100084,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Computer Science and Technology,Tsinghua Univ,Beijing 100084,China)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024669831","display_name":"Shiqiang Yang","orcid":"https://orcid.org/0000-0001-5356-4094"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqiang Yang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Department of Computer Science and Technology,Tsinghua Univ,Beijing 100084,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Computer Science and Technology,Tsinghua Univ,Beijing 100084,China)","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11053449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"315","issue":null,"first_page":"1041","last_page":"1044"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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/T11439","display_name":"Video Analysis and Summarization","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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":0.9972000122070312,"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":0.820846438407898},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6691944599151611},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6674296855926514},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"Affinity propagation","score":0.6436283588409424},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.5946215987205505},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.585506021976471},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5585280656814575},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5367373824119568},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5058965086936951},{"id":"https://openalex.org/keywords/video-retrieval","display_name":"Video retrieval","score":0.49870753288269043},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4867384433746338},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.465798944234848},{"id":"https://openalex.org/keywords/database-index","display_name":"Database index","score":0.4536055028438568},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4219997823238373},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.4184330105781555},{"id":"https://openalex.org/keywords/video-compression-picture-types","display_name":"Video compression picture types","score":0.41302740573883057},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4127453565597534},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.3581233024597168},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.29740238189697266},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16118106245994568},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.1482442319393158},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12617889046669006},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.07230305671691895},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06953564286231995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.820846438407898},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6691944599151611},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6674296855926514},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.6436283588409424},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.5946215987205505},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.585506021976471},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5585280656814575},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5367373824119568},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5058965086936951},{"id":"https://openalex.org/C2983174267","wikidata":"https://www.wikidata.org/wiki/Q3775098","display_name":"Video retrieval","level":2,"score":0.49870753288269043},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4867384433746338},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.465798944234848},{"id":"https://openalex.org/C59276292","wikidata":"https://www.wikidata.org/wiki/Q580427","display_name":"Database index","level":3,"score":0.4536055028438568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4219997823238373},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.4184330105781555},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.41302740573883057},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4127453565597534},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.3581233024597168},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.29740238189697266},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16118106245994568},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.1482442319393158},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12617889046669006},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.07230305671691895},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06953564286231995},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2010.5654073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5654073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1664309637","https://openalex.org/W1981485102","https://openalex.org/W1987600212","https://openalex.org/W1994655805","https://openalex.org/W2090912237","https://openalex.org/W2107373150","https://openalex.org/W2133542527","https://openalex.org/W2137389980","https://openalex.org/W2138646139","https://openalex.org/W2165232124"],"related_works":["https://openalex.org/W2267850814","https://openalex.org/W2117742927","https://openalex.org/W2495973431","https://openalex.org/W4237360438","https://openalex.org/W2142313803","https://openalex.org/W2115372571","https://openalex.org/W2357477326","https://openalex.org/W2013685631","https://openalex.org/W4390871969","https://openalex.org/W2112655393"],"abstract_inverted_index":{"Content-based":[0],"video":[1,20,66,94,98,125,132],"retrieval":[2,120],"systems":[3],"are":[4,56],"desired":[5],"to":[6,43,92,118],"fast":[7],"and":[8,29,51,101,137],"accurately":[9],"find":[10],"the":[11,48,73,105,114,122,135],"nearest-neighbors":[12,123],"of":[13,32,83,108,121,124,139],"user":[14],"input":[15],"examples":[16],"from":[17,62],"very":[18,57,64],"large":[19,65,131],"datasets.":[21,67],"This":[22],"poses":[23],"a":[24,81],"great":[25],"challenge":[26],"since":[27],"exhaustive":[28],"redundant":[30],"computation":[31,50],"similarities":[33],"is":[34,80],"required.":[35],"Cluster":[36],"based":[37],"index":[38,116],"approaches":[39],"can":[40],"be":[41],"used":[42],"address":[44],"this":[45,69],"problem,":[46],"but":[47],"similarity":[49,99],"clustering":[52],"methods":[53],"for":[54],"videos":[55],"time-consuming,":[58],"thus":[59],"preventing":[60],"it":[61],"indexing":[63],"In":[68],"paper,":[70],"we":[71],"propose":[72],"Hierarchical":[74],"Frame":[75],"Affinity":[76],"Group":[77],"(HFAG),":[78],"which":[79],"hierarchy":[82],"frame":[84],"clusters":[85],"built":[86],"using":[87],"affinity":[88],"propagation":[89],"(AP)":[90],"method,":[91],"represent":[93],"clusters.":[95],"Our":[96],"proposed":[97],"metric":[100],"AP":[102],"method":[103],"guarantee":[104],"high":[106],"performance":[107],"forming":[109],"HFAG.":[110],"We":[111],"then":[112],"build":[113],"cluster-based":[115],"structure":[117],"support":[119],"sequences.":[126],"The":[127],"experiments":[128],"on":[129],"real":[130],"datasets":[133],"prove":[134],"effectiveness":[136],"efficiency":[138],"our":[140],"approach.":[141]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}