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Author (up) Estefania Talavera; Petia Radeva; Nicolai Petkov edit  url
openurl 
  Title Towards Emotion Retrieval in Egocentric PhotoStream Type Miscellaneous
  Year 2019 Publication Arxiv Abbreviated Journal  
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  Abstract CoRR abs/1905.04107
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 a deviation of 8%. Our model makes a step forward opening the door to sentiment recognition in egocentric photostreams.
 
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  Notes MILAB; no proj Approved no  
  Call Number Admin @ si @ TRP2019 Serial 3381  
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