{"id":"https://openalex.org/W2891189600","doi":null,"title":"Large-scale Multi-label Video Classification","display_name":"Large-scale Multi-label Video Classification","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2891189600","mag":"2891189600"},"language":"en","primary_location":{"id":"pmh:oai:DiVA.org:kth-235280","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235280","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bachelorThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235280","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041674297","display_name":"Jinzhou Cai","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jinzhou Cai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5041674297"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.37599998712539673,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.37599998712539673,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.23280000686645508,"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":0.10639999806880951,"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/youtube-8m","display_name":"YouTube-8M","score":0.968999981880188},{"id":"https://openalex.org/keywords/dense-neural-networks","display_name":"dense neural networks","score":0.8510000109672546},{"id":"https://openalex.org/keywords/audio-features","display_name":"audio features","score":0.9340000152587891},{"id":"https://openalex.org/keywords/video-understanding","display_name":"video understanding","score":0.421999990940094},{"id":"https://openalex.org/keywords/model-efficiency","display_name":"model efficiency","score":0.4449999928474426}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5372440814971924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4656195640563965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4021843671798706},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.173153817653656},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11107668280601501}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:DiVA.org:kth-235280","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235280","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bachelorThesis"},{"id":"mag:2891189600","doi":null,"is_oa":false,"landing_page_url":"http://kth.diva-portal.org/smash/record.jsf?pid=diva2:1249544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:DiVA.org:kth-235280","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235280","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bachelorThesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2026243162","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2105101328","https://openalex.org/W2469486851"],"related_works":["https://openalex.org/W2690848685","https://openalex.org/W2524365899","https://openalex.org/W2728785276","https://openalex.org/W2912958214","https://openalex.org/W2625190133","https://openalex.org/W2810077221","https://openalex.org/W2916145674","https://openalex.org/W2198114369","https://openalex.org/W2943381576","https://openalex.org/W2728907014"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2],"been":[3],"established":[4],"as":[5],"a":[6,66],"powerful":[7],"method":[8],"to":[9,99,103],"tacklevideo":[10],"classification":[11,22,54,68],"tasks.":[12],"Encouraged":[13],"by":[14,40,50],"the":[15,26,33,51,61,71,79,87,95,104,114,121,126,132,140],"remarkable":[16],"success,":[17],"thisthesis":[18],"propose":[19],"several":[20,42],"effective":[21],"models":[23,112],"rely":[24],"on":[25,86,129],"largestvideo":[27],"dataset":[28],"YouTube-8M.":[29],"First,":[30],"we":[31,63],"investigate":[32],"diversity":[34],"of":[35],"theDense":[36],"Neural":[37],"Nets":[38],"(DNN)":[39],"exploring":[41],"factors":[43],"which":[44,56],"controlthe":[45],"corresponding":[46],"performance.":[47,106],"Furthermore,":[48],"inspired":[49],"wideand":[52],"deep":[53,74],"model":[55,69],"was":[57],"originally":[58],"used":[59],"in":[60,139],"recommendationsystem,":[62],"build":[64],"up":[65],"new":[67],"whichmodify":[70],"wide":[72],"and":[73,84],"part":[75],"separately.":[76],"Despite":[77],"that,":[78],"thesis":[80],"alsoprovides":[81],"extensive":[82],"experiments":[83],"comparisons":[85],"performanceof":[88],"proposed":[89],"models.":[90],"Experimental":[91],"results":[92],"find":[93],"out":[94],"audio":[96],"featureis":[97],"able":[98],"bring":[100],"valuable":[101],"help":[102],"final":[105],"The":[107],"result":[108],"hasshown":[109],"that":[110],"both":[111],"outperform":[113],"benchmark,":[115],"although":[116],"there":[117],"isnarrow":[118],"gap":[119],"with":[120],"state-of-the-art.":[122],"We":[123],"also":[124],"evaluate":[125],"efficiency":[127],"ofmodel":[128],"real-world":[130],"datasets,":[131],"positive":[133],"outcome":[134],"make":[135],"it":[136],"possiblefor":[137],"production":[138],"future.":[141]},"counts_by_year":[],"updated_date":"2026-09-04T10:56:28.161419","created_date":"2018-09-27T00:00:00"}