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Towards Storytelling from Visual Lifelogging: An Overview
July 22, 2015 Β· Declared Dead Β· π IEEE Transactions on Human-Machine Systems
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Authors
Marc BolaΓ±os, Mariella Dimiccoli, Petia Radeva
arXiv ID
1507.06120
Category
cs.CV: Computer Vision
Citations
139
Venue
IEEE Transactions on Human-Machine Systems
Last Checked
3 months ago
Abstract
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.
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