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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPEW34M/3U3AJKP
Repositorysid.inpe.br/sibgrapi/2019/09.14.02.32
Last Update2019:09.14.02.32.19 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2019/09.14.02.32.19
Metadata Last Update2022:06.14.00.09.42 (UTC) administrator
DOI10.1109/SIBGRAPI.2019.00033
Citation KeyOliveiraIntePereGome:2019:ViAuAn
TitleVideo audience analysis using bayesian networks and face demographics
FormatOn-line
Year2019
Access Date2024, Apr. 27
Number of Files1
Size353 KiB
2. Context
Author1 Oliveira, Ítalo de Pontes
2 Interaminense, Carlos Daniel Oliveira
3 Pereira, Eanes Torres
4 Gomes, Herman Martins
Affiliation1 UFCG
2 UFCG
3 UFCG
4 UFCG
EditorOliveira, Luciano Rebouças de
Sarder, Pinaki
Lage, Marcos
Sadlo, Filip
e-Mail Addressitalooliveira@copin.ufcg.edu.br
Conference NameConference on Graphics, Patterns and Images, 32 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date28-31 Oct. 2019
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2019-09-14 02:32:19 :: italooliveira@copin.ufcg.edu.br -> administrator ::
2022-06-14 00:09:42 :: administrator -> italooliveira@copin.ufcg.edu.br :: 2019
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsDigital Signage
Computer Vision
Audience Analysis
Bayesian Networks
Face Analysis
AbstractIn this paper, we propose an approach to study and to model audience attention to videos within digital signage scenarios. An experimental setup was conceived to simultaneously display videos of various categories and to capture videos from the audience and surrounding environment. Face analysis via a deep neural network is performed to estimate gender and age groups. In the proposed approach, a Bayesian Network is built to model possible relationships between the audience's age, gender and face size (which is indicative of the distance to the display) and the video content types. A publicly available video dataset of 152 videos was created for displaying purposes. An experimental evaluation indicated varying degrees of attention to different videos, depending on age and gender.The area under the ROC curve of the built Bayesian Network was 0.82. The proposed approach allows to better understand the possible relationships between audience demographics and video contents, which may, in turn, be useful for displaying the most appropriate content to a particular audience, help with the automatic insertion of ads (based on audience categories), among other applications.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2019 > Video audience analysis...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Video audience analysis...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/3U3AJKP
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/3U3AJKP
Languageen
Target FileModeling_Audience_to_Videos_Using_Bayesian_Networks_and_Facial_Analysis.pdf
User Groupitalooliveira@copin.ufcg.edu.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/3UA4FNL
8JMKD3MGPEW34M/3UA4FPS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2019/10.25.18.30.33 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume
7. Description control
e-Mail (login)italooliveira@copin.ufcg.edu.br
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