乐胖代购免代理版

{"id":"https://openalex.org/W3012165871","doi":"https://doi.org/10.1109/tmm.2020.2978593","title":"Boosting Temporal Binary Coding for Large-Scale Video Search","display_name":"Boosting Temporal Binary Coding for Large-Scale Video Search","publication_year":2020,"publication_date":"2020-03-10","ids":{"openalex":"https://openalex.org/W3012165871","doi":"https://doi.org/10.1109/tmm.2020.2978593","mag":"3012165871"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2978593","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5047015759","display_name":"Yan Wu","orcid":"https://orcid.org/0000-0003-4293-9430"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"funder","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wu","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024067284","display_name":"Xianglong Liu","orcid":"https://orcid.org/0000-0002-7618-3275"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"funder","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianglong Liu","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China","State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044945190","display_name":"Haotong Qin","orcid":"https://orcid.org/0000-0001-7391-7539"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"funder","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotong Qin","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010822701","display_name":"Ke Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"funder","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Xia","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009797414","display_name":"Sheng Hu","orcid":"https://orcid.org/0000-0001-6984-5528"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"funder","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Hu","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030290826","display_name":"Yuqing Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"funder","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqing Ma","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"funder","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Computer and Information Science, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Science, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.956,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.686604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":"23","issue":null,"first_page":"353","last_page":"364"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":1.0,"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":1.0,"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":0.9978,"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":0.9956,"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/binary-code","display_name":"Binary code","score":0.5079387},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting","score":0.4980123},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.42416903}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.76217127},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6002922},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.532838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510476},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.5079387},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4980123},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.46467242},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.42416903},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41694224},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.41007647},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3688703},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.35104075},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.12997892},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12729418},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.2978593","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61872021"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61690202"}],"datasets":[],"versions":[],"referenced_works_count":83,"referenced_works":["https://openalex.org/W118147013","https://openalex.org/W1500351990","https://openalex.org/W1883985887","https://openalex.org/W189214596","https://openalex.org/W1910300841","https://openalex.org/W1959016151","https://openalex.org/W1969241115","https://openalex.org/W1972036246","https://openalex.org/W1972853352","https://openalex.org/W1974647172","https://openalex.org/W1986455621","https://openalex.org/W1987040325","https://openalex.org/W1989902617","https://openalex.org/W1992371516","https://openalex.org/W2010642153","https://openalex.org/W2014550941","https://openalex.org/W2017069951","https://openalex.org/W2024046085","https://openalex.org/W2026014384","https://openalex.org/W2029205712","https://openalex.org/W2039208785","https://openalex.org/W2044195942","https://openalex.org/W2067766814","https://openalex.org/W2074668987","https://openalex.org/W2079202281","https://openalex.org/W2086953401","https://openalex.org/W2108523493","https://openalex.org/W2121713321","https://openalex.org/W2122146326","https://openalex.org/W2122205543","https://openalex.org/W2125378448","https://openalex.org/W2126210882","https://openalex.org/W2126458834","https://openalex.org/W2142881874","https://openalex.org/W2144530948","https://openalex.org/W2147717514","https://openalex.org/W2148554573","https://openalex.org/W2157575532","https://openalex.org/W2158169729","https://openalex.org/W2162006472","https://openalex.org/W2164338181","https://openalex.org/W2170037597","https://openalex.org/W2171700594","https://openalex.org/W2171790913","https://openalex.org/W2220860909","https://openalex.org/W2251864938","https://openalex.org/W2274520403","https://openalex.org/W2292992741","https://openalex.org/W2293597654","https://openalex.org/W2355041310","https://openalex.org/W2411707397","https://openalex.org/W2425857666","https://openalex.org/W2444115989","https://openalex.org/W2473499128","https://openalex.org/W2522148122","https://openalex.org/W2525102472","https://openalex.org/W2527195341","https://openalex.org/W2527357643","https://openalex.org/W2563615176","https://openalex.org/W2604269544","https://openalex.org/W2765111509","https://openalex.org/W2766187676","https://openalex.org/W2766209167","https://openalex.org/W2768428796","https://openalex.org/W2778018998","https://openalex.org/W2786585376","https://openalex.org/W2789272402","https://openalex.org/W2801086478","https://openalex.org/W2888313892","https://openalex.org/W2891817760","https://openalex.org/W2894879246","https://openalex.org/W2896025697","https://openalex.org/W2900790473","https://openalex.org/W2912236665","https://openalex.org/W2949537635","https://openalex.org/W2963398644","https://openalex.org/W2972555443","https://openalex.org/W2979656080","https://openalex.org/W2999606372","https://openalex.org/W3005595247","https://openalex.org/W3099677434","https://openalex.org/W3104374384","https://openalex.org/W3106512200"],"related_works":["https://openalex.org/W4297909034","https://openalex.org/W29009527","https://openalex.org/W2797819729","https://openalex.org/W2738662130","https://openalex.org/W2734476764","https://openalex.org/W2294084665","https://openalex.org/W2292992741","https://openalex.org/W2072672293","https://openalex.org/W2000284985","https://openalex.org/W1974703679"],"abstract_inverted_index":{"In":[0,62],"recent":[1],"years,":[2],"there":[3],"has":[4],"been":[5,19],"an":[6,156],"explosive":[7],"increase":[8],"in":[9,103,115,167],"the":[10,25,55,78,83,121,136,142,145,150,159,175,191,195,199,203,211,229,239,242,246,250,276],"amount":[11],"of":[12,258,283],"existing":[13,38],"visual":[14,68,143,196,213],"data.":[15],"Hashing":[16],"techniques":[17],"have":[18],"successfully":[20],"applied":[21],"to":[22,91,105,130,172,226,237],"deal":[23],"with":[24],"large-scale":[26,87],"nearest":[27,176],"neighbor":[28],"search":[29,89,127,151],"problem":[30,124,163],"among":[31,58,77,194,202,241],"data":[32,49,69,101],"on":[33,220,269],"this":[34,116],"massive":[35],"scale.":[36],"However,":[37],"hashing":[39,285],"methods":[40],"usually":[41],"learn":[42,131],"a":[43,168,181,216,234,281],"single":[44],"hash":[45,95,108,253],"code":[46],"for":[47,86,99,125],"each":[48,100,179,259],"point,":[50],"and":[51,128,144,198,255,264],"only":[52],"by":[53,134],"taking":[54],"content":[56,197],"correlations":[57],"them":[59],"into":[60],"account.":[61],"practice,":[63],"however,":[64],"when":[65],"handling":[66],"complex":[67],"such":[70],"as":[71,155],"video,":[72],"strong":[73],"temporal":[74,146,182,200,230,256],"relations":[75,193],"exist":[76],"successive":[79,204,243],"frames.":[80,244],"Moreover,":[81],"if":[82],"preferred":[84],"performance":[85],"video":[88,126,138,272],"is":[90,186],"be":[92,165,262],"delivered,":[93],"multiple":[94,107,153],"codes":[96,133],"are":[97],"required":[98],"point":[102],"order":[104],"build":[106],"table":[109,260],"indices.":[110],"To":[111],"address":[112],"these":[113],"problems,":[114],"paper,":[117],"we":[118,209,232],"first":[119],"study":[120],"multi-table":[122,161],"learning":[123,162,170,248],"attempt":[129],"binary":[132,183,251],"capturing":[135],"intrinsic":[137,192,212],"similarities":[139,214],"from":[140],"both":[141],"aspects.":[147],"By":[148],"regarding":[149],"over":[152,190],"tables":[154],"ensemble":[157],"prediction,":[158],"whole":[160],"can":[164,261],"solved":[166],"boosting":[169,247],"manner":[171],"complementarily":[173],"cover":[174],"neighbors.":[177],"For":[178],"table,":[180],"coding":[184],"solution":[185],"devised":[187],"that":[188,275],"thinks":[189],"consistency":[201],"frames":[205],"simultaneously.":[206],"More":[207],"specifically,":[208],"approximate":[210],"using":[215],"low-rank":[217],"matrix":[218],"based":[219],"sparse,":[221],"non-negative":[222],"feature":[223],"expression.":[224],"Furthermore,":[225],"essentially":[227],"preserve":[228],"consistency,":[231],"introduce":[233],"subspace":[235],"rotation":[236],"model":[238],"variation":[240,257],"Under":[245],"framework,":[249],"codes,":[252],"functions":[254],"efficiently":[263],"jointly":[265],"optimized.":[266],"Extensive":[267],"experiments":[268],"three":[270],"large":[271],"datasets":[273],"demonstrate":[274],"proposed":[277],"approach":[278],"significantly":[279],"outperforms":[280],"number":[282],"state-of-the-art":[284],"methods.":[286]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3012165871","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6}],"updated_date":"2025-04-24T08:35:05.824969","created_date":"2020-03-23"}