Visual lifelogging is the term used to describe recording our everyday lives using wearable
cameras, for applications which are personal to us and do not involve sharing our recorded …

Searching in digital video data for high-level events, such as a parade or a car accident, is
challenging when the query is textual and lacks visual example images or videos. Current …

The proliferation of wearable visual recording devices such as SenseCam, Google Glass,
etc. is creating opportunities for automatic analysis and usage of digitally-recorded everyday …

Retrieval of videos efficiently and effectively has become a challenging issue nowadays and
dealing with multi-concept videos is the center of focus. The aim of the work presented here …

Automatic concept detection is a crucial aspect of automatically indexing unstructured
multimedia archives. However, the current prevalence of one-per-class detectors neglect …

Indexing of visual media based on content analysis has now moved beyond using individual
concept detectors and there is now a focus on combining concepts by post-processing the …

Abstract Concept based video retrieval often relies on imperfect and uncertain concept
detectors. We propose a general ranking framework to define effective and robust ranking …

Indexing of visual media based on content analysis has now moved beyond using individual
concept detectors and there is now a focus on combining concepts or post-processing the …

The topic of this thesis is lifelogging, the automatic, passive recording of a person's daily
activities and in particular, on performing a semantic analysis and enrichment of lifelogged …

Visual recording of everyday human activities and behaviour over the long term is now
feasible and with the widespread use of wearable devices embedded with cameras this …