{"id":"https://openalex.org/W3112074675","doi":"https://doi.org/10.1109/ipta50016.2020.9286620","title":"Single-Modal Video Analysis of Personality Traits using Low-Level Visual Features","display_name":"Single-Modal Video Analysis of Personality Traits using Low-Level Visual Features","publication_year":2020,"publication_date":"2020-11-09","ids":{"openalex":"https://openalex.org/W3112074675","doi":"https://doi.org/10.1109/ipta50016.2020.9286620","mag":"3112074675"},"language":"en","primary_location":{"id":"doi:10.1109/ipta50016.2020.9286620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta50016.2020.9286620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5045615512","display_name":"Daniel Helm","orcid":"https://orcid.org/0000-0002-2195-7587"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Daniel Helm","raw_affiliation_strings":["Computer Vision Lab, TU Wien, Institute of Visual Computing Human-Centered Technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Lab, TU Wien, Institute of Visual Computing Human-Centered Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081324708","display_name":"Martin Kampel","orcid":"https://orcid.org/0000-0002-5217-2854"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Martin Kampel","raw_affiliation_strings":["Computer Vision Lab, TU Wien, Institute of Visual Computing Human-Centered Technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Lab, TU Wien, Institute of Visual Computing Human-Centered Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.2563,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.58772094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9987000226974487,"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/T11448","display_name":"Face recognition and analysis","score":0.9987000226974487,"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/T10057","display_name":"Face and Expression Recognition","score":0.9932000041007996,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7788862586021423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6612515449523926},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5740844011306763},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5078895688056946},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5020637512207031},{"id":"https://openalex.org/keywords/personality","display_name":"Personality","score":0.4688751697540283},{"id":"https://openalex.org/keywords/big-five-personality-traits","display_name":"Big Five personality traits","score":0.43001994490623474},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41833069920539856},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4138169586658478},{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.4116537868976593},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37054187059402466},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11369934678077698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7788862586021423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6612515449523926},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5740844011306763},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5078895688056946},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5020637512207031},{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.4688751697540283},{"id":"https://openalex.org/C2865642","wikidata":"https://www.wikidata.org/wiki/Q378132","display_name":"Big Five personality traits","level":3,"score":0.43001994490623474},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41833069920539856},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4138169586658478},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.4116537868976593},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37054187059402466},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11369934678077698},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta50016.2020.9286620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta50016.2020.9286620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)","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":25,"referenced_works":["https://openalex.org/W55356581","https://openalex.org/W1989538527","https://openalex.org/W2051895218","https://openalex.org/W2115522139","https://openalex.org/W2148154194","https://openalex.org/W2152472333","https://openalex.org/W2325939864","https://openalex.org/W2522578306","https://openalex.org/W2548717229","https://openalex.org/W2566938590","https://openalex.org/W2573933330","https://openalex.org/W2574753167","https://openalex.org/W2763560359","https://openalex.org/W2786879748","https://openalex.org/W2901300151","https://openalex.org/W2918872075","https://openalex.org/W2963090248","https://openalex.org/W2963967532","https://openalex.org/W2969145558","https://openalex.org/W3103801168","https://openalex.org/W3104974011","https://openalex.org/W3106111488","https://openalex.org/W6602246545","https://openalex.org/W6731656750","https://openalex.org/W6748356285"],"related_works":["https://openalex.org/W3018282762","https://openalex.org/W2558055997","https://openalex.org/W2791183434","https://openalex.org/W2353369313","https://openalex.org/W4250645680","https://openalex.org/W4300782058","https://openalex.org/W2086339586","https://openalex.org/W2394387726","https://openalex.org/W2378724474","https://openalex.org/W4389146154"],"abstract_inverted_index":{"The":[0,36,52,127,159],"ability":[1],"to":[2,41,59,81,122,141],"analyze":[3],"the":[4,46,105,124,143],"first":[5,22],"impression":[6,23],"of":[7,45,55,129,147,165],"a":[8,27,43,62,66,75,83,138,155],"person":[9],"automatically":[10],"enables":[11],"novel":[12],"applications":[13],"in":[14,32,120,149],"human-computer":[15],"interaction":[16],"and":[17,102,115],"other":[18],"areas.":[19],"A":[20],"person's":[21],"can":[24,78],"decide":[25],"about":[26],"positive":[28],"or":[29],"negative":[30],"outcome":[31],"different":[33,112],"daily-life":[34],"situations.":[35],"human":[37],"brain":[38],"is":[39,58],"able":[40],"get":[42],"picture":[44],"counterpart's":[47],"personality":[48,107,145],"at":[49],"short":[50,150],"notice.":[51],"main":[53],"aim":[54],"this":[56,130],"paper":[57,93,131],"show":[60],"how":[61,95],"system":[63,140],"based":[64],"on":[65],"standard":[67],"Convolutional":[68],"Neural":[69],"Network":[70],"(CNN)":[71],"as":[72,74,100,135,137],"well":[73,136],"3D-CNN":[76],"architecture,":[77],"be":[79],"built":[80],"solve":[82],"multi-label":[84,156],"regression":[85,157],"task":[86],"using":[87,168],"only":[88],"visual":[89,169],"low-level":[90],"features.":[91],"This":[92],"investigates":[94],"various":[96],"pre-processing":[97],"methods,":[98],"such":[99],"face-extraction":[101],"data-augmentation,":[103],"influence":[104],"predicted":[106],"confidences.":[108],"Furthermore,":[109],"it":[110],"explores":[111],"training":[113],"strategies":[114],"optimization":[116],"techniques":[117],"e.g.":[118],"regularization":[119],"order":[121],"improve":[123],"model":[125],"performance.":[126],"results":[128],"demonstrate":[132],"an":[133,162],"image-based":[134],"time-sequence-based":[139],"predict":[142],"Big-Five":[144],"dimensions":[146],"humans":[148],"video":[151],"sequences":[152],"by":[153,167],"solving":[154],"task.":[158],"approaches":[160],"reach":[161],"overall":[163],"accuracy":[164],"0.891":[166],"features":[170],"only.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
