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Author (up) Emanuel Sanchez Aimar; Petia Radeva; Mariella Dimiccoli edit   pdf
url  doi
openurl 
  Title Social Relation Recognition in Egocentric Photostreams Type Conference Article
  Year 2019 Publication 26th International Conference on Image Processing Abbreviated Journal  
  Volume Issue Pages 3227-3231  
  Keywords  
  Abstract This paper proposes an approach to automatically categorize the social interactions of a user wearing a photo-camera (2fpm), by relying solely on what the camera is seeing. The problem is challenging due to the overwhelming complexity of social life and the extreme intra-class variability of social interactions captured under unconstrained conditions. We adopt the formalization proposed in Bugental's social theory, that groups human relations into five social domains with related categories. Our method is a new deep learning architecture that exploits the hierarchical structure of the label space and relies on a set of social attributes estimated at frame level to provide a semantic representation of social interactions. Experimental results on the new EgoSocialRelation dataset demonstrate the effectiveness of our proposal.  
  Address Taipei; Taiwan; September 2019  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ICIP  
  Notes MILAB; no menciona Approved no  
  Call Number Admin @ si @ SRD2019 Serial 3370  
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