Towards Storytelling from Visual Lifelogging: An Overview
It tackles the problem of generating narratives from personal visual data for applications in healthcare, security, and leisure, but is incremental as it provides an overview rather than new methods.
The paper reviews advances in analyzing egocentric visual lifelogging data to address the challenge of automatically building stories from unstructured collections, indicating new research directions for storytelling applications.
Visual lifelogging consists of acquiring images that capture the daily experiences of the user by wearing a camera over a long period of time. The pictures taken offer considerable potential for knowledge mining concerning how people live their lives, hence, they open up new opportunities for many potential applications in fields including healthcare, security, leisure and the quantified self. However, automatically building a story from a huge collection of unstructured egocentric data presents major challenges. This paper provides a thorough review of advances made so far in egocentric data analysis, and in view of the current state of the art, indicates new lines of research to move us towards storytelling from visual lifelogging.