Now showing items 1-5 of 5

    • Activities of daily living monitoring via a wearable camera: toward real-world applications 

      Cartas Ayala, Alejandro; Radeva, Petia; Dimiccoli, Mariella (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Article
      Open Access
      Activity recognition from wearable photo-cameras is crucial for lifestyle characterization and health monitoring. However, to enable its wide-spreading use in real-world applications, a high level of generalization needs ...
    • LEMoRe: A lifelog engine for moments retrieval at the NTCIR-lifelog LSAT task 

      de Oliveira Barra, Gabriel; Cartas Ayala, Alejandro; Bolaños, Marc; Dimiccoli, Mariella; Giró Nieto, Xavier; Radeva, Petia (2016)
      Conference lecture
      Open Access
      Semantic image retrieval from large amounts of egocentric visual data requires to leverage powerful techniques for filling in the semantic gap. This paper introduces LEMoRe, a Lifelog Engine for Moments Retrieval, developed ...
    • Modeling long-term interactions to enhance action recognition 

      Cartas Ayala, Alejandro; Radeva, Petia; Dimiccoli, Mariella (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Conference report
      Open Access
      In this paper, we propose a new approach to understand actions in egocentric videos that exploits the semantics of object interactions at both frame and temporal levels. At the frame level, we use a region-based approach ...
    • Seeing and hearing egocentric actions: how much can we learn? 

      Cartas Ayala, Alejandro; Luque, Jordi; Radeva, Petia; Segura, Carlos; Dimiccoli, Mariella (2019)
      Conference report
      Open Access
      Our interaction with the world is an inherently multi-modal experience. However, the understanding of human-to-object interactions has historically been addressed focusing on a single modality. In particular, a limited ...
    • Understanding event boundaries for egocentric activity recognition from photo-streams 

      Cartas Ayala, Alejandro; Talavera, Estefanía; Radeva, Petia; Dimiccoli, Mariella (Springer Nature, 2021)
      Conference report
      Open Access
      The recognition of human activities captured by a wearable photo-camera is especially suited for understanding the behavior of a person. However, it has received comparatively little attention with respect to activity ...