{"id":"https://openalex.org/W7112486010","doi":null,"title":"Predir emocions a pel\u00b7l\u00edcules: models recurrents i convolucionals aplicats a v\u00eddeos","display_name":"Predir emocions a pel\u00b7l\u00edcules: models recurrents i convolucionals aplicats a v\u00eddeos","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W7112486010"},"language":"en","primary_location":{"id":"pmh:oai:upcommons.upc.edu:2117/112152","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2117/112152","pdf_url":null,"source":{"id":"https://openalex.org/S4377196262","display_name":"UPCommons institutional repository (Universitat Polit\u00e8cnica de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I9617848","host_organization_name":"Universitat Polit\u00e8cnica de Catalunya","host_organization_lineage":["https://openalex.org/I9617848"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"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://hdl.handle.net/2117/112152","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bernal Poch, Oriol","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bernal Poch, Oriol","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.000699999975040555,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/3d-convolutional-networks","display_name":"3D convolutional networks","score":0.7979999780654907},{"id":"https://openalex.org/keywords/audio-feature-extraction","display_name":"audio feature extraction","score":0.6549999713897705},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.9179999828338623},{"id":"https://openalex.org/keywords/valence-and-arousal","display_name":"valence and arousal","score":0.8040000200271606},{"id":"https://openalex.org/keywords/multimodal-fusion","display_name":"multimodal fusion","score":0.6570000052452087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6062999963760376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6033999919891357},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45910000801086426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41350001096725464},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3961000144481659},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3806999921798706},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.359499990940094},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3345000147819519},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:upcommons.upc.edu:2117/112152","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2117/112152","pdf_url":null,"source":{"id":"https://openalex.org/S4377196262","display_name":"UPCommons institutional repository (Universitat Polit\u00e8cnica de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I9617848","host_organization_name":"Universitat Polit\u00e8cnica de Catalunya","host_organization_lineage":["https://openalex.org/I9617848"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/bachelorThesis"}],"best_oa_location":{"id":"pmh:oai:upcommons.upc.edu:2117/112152","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2117/112152","pdf_url":null,"source":{"id":"https://openalex.org/S4377196262","display_name":"UPCommons institutional repository (Universitat Polit\u00e8cnica de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I9617848","host_organization_name":"Universitat Polit\u00e8cnica de Catalunya","host_organization_lineage":["https://openalex.org/I9617848"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"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":0,"referenced_works":[],"related_works":["https://openalex.org/W6986485665","https://openalex.org/W4391146925","https://openalex.org/W2186363412","https://openalex.org/W3036028282","https://openalex.org/W2524262295","https://openalex.org/W3093277951","https://openalex.org/W2910852152","https://openalex.org/W4393619851","https://openalex.org/W3137028092","https://openalex.org/W2281407413"],"abstract_inverted_index":{"This":[0,49],"Thesis":[1],"explores":[2],"different":[3,150],"approaches":[4],"using":[5,53,73,81],"deep":[6],"learning":[7],"techniques":[8,126],"to":[9,37,40,90,130,132,157,175],"predict":[10,133],"emotions":[11],"in":[12,44,65,113,155,168],"videos.":[13],"Working":[14],"with":[15,141],"videos":[16,43],"implies":[17],"a":[18,83,101],"huge":[19],"amount":[20],"of":[21,32,47,62,105,115],"data":[22],"including":[23],"visual":[24,66,69],"frames":[25],"and":[26,76,117,144,149,173],"acoustic":[27,77],"samples.":[28],"The":[29],"first":[30],"step":[31],"the":[33,42,60,63,92,107,124,159,163,169,176],"project":[34],"is":[35,51],"basically":[36],"extract":[38],"features":[39,70,78,97],"represent":[41],"small":[45],"sets":[46],"arrays.":[48],"procedure":[50],"done":[52],"pre-trained":[54,84],"models":[55],"based":[56],"on":[57],"Convolutional":[58],"Networks,":[59],"state":[61],"art":[64],"recognition.":[67],"Firstly,":[68],"are":[71,79,98,111,127],"extracted":[72,80],"3D":[74],"convolutions":[75],"VGG19,":[82],"convolutional":[85],"model":[86,103],"for":[87],"images":[88],"fine-tuned":[89],"accept":[91],"audio":[93],"inputs.":[94],"Later,":[95],"these":[96],"fed":[99],"into":[100],"Recurrent":[102],"capable":[104],"exploiting":[106],"temporal":[108],"information.":[109],"Emotions":[110],"measured":[112],"terms":[114],"valence":[116],"arousal,":[118],"values":[119],"between":[120],"[-1,":[121],"1].":[122],"Additionally,":[123],"same":[125],"also":[128],"used":[129],"attempt":[131],"fear":[134],"scenes.":[135],"In":[136],"consequence,":[137],"this":[138],"thesis":[139],"deals":[140],"both":[142],"regression":[143],"classification":[145],"problems.":[146],"Several":[147],"architectures":[148],"parameters":[151],"have":[152],"been":[153],"tested":[154],"order":[156],"achieve":[158],"best":[160],"performance.":[161],"Finally,":[162],"results":[164],"will":[165],"be":[166],"published":[167],"MediaEval":[170],"2017":[171],"Challenge":[172],"compared":[174],"state-of-the-art":[177],"solutions.":[178]},"counts_by_year":[],"updated_date":"2026-08-31T07:19:18.363097","created_date":"2025-12-10T00:00:00"}
