Towards Egocentric Sentiment Analysis: Sixteenth International Conference on Computer Aided Systems Theory

Estefanía Talavera, Petia Radeva, Nicolai Petkov

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

The availability and use of egocentric data are rapidly increasing due to the growing use of wearable cameras. Our aim is to study the effect (positive, neutral or negative) of egocentric images or events on an observer. Given egocentric photostreams capturing the wearer’s days, we propose a method that aims to assign sentiment to events extracted from egocentric photostreams. Such moments can be candidates to retrieve according to their possibility of representing a positive experience for the camera’s wearer. The proposed approach obtained a classification accuracy of 75% on the test set, with deviation of 8%. Our model makes a step forward opening the door to sentiment recognition in egocentric photostreams.
Original languageEnglish
Title of host publicationComputer Aided Systems Theory – EUROCAST 2017
Subtitle of host publication16th International Conference, Las Palmas de Gran Canaria, Spain, February 19-24, 2017, Revised Selected Papers
EditorsRoberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibia
Place of PublicationCham
PublisherSpringer
Pages297-305
VolumePart II
ISBN (Electronic)978-3-319-74727-9
ISBN (Print)978-3-319-74726-2
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event16th International Conference on Computer Aided Systems Theory, EUROCAST 2017 - Las Palmas de Gran Canaria, Spain
Duration: 19 Feb 201724 Feb 2017
Conference number: 16
http://eurocast2017.fulp.ulpgc.es/

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume10672
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Computer Aided Systems Theory, EUROCAST 2017
Abbreviated titleEUROCAST 2017
CountrySpain
CityLas Palmas de Gran Canaria
Period19/02/1724/02/17
Internet address

Keywords

  • Egocentric images
  • Sentiment analysis
  • Moment retrieval

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