We have recently observed a convergence of technologies to foster the emergence of
lifelogging as a mainstream activity. Computer storage has become significantly cheaper …

Interaction and collaboration between humans and intelligent machines has become
increasingly important as machine learning methods move into real-world applications that …

In many scientific endeavors, increasingly abstract representations of data allow for new
interpretive methodologies and conceptualization of phenomena. For example, moving from …

Labeling is the process of enclosing information to some object. In machine learning it is
required as ground truth to leverage the potential of supervised techniques. A key challenge …

We present an Augmented Reality (AR) based re-configurable framework for inspection that
can be utilized in cross-domain applications such as maintenance and repair assistance in …

This paper explores the potential of brain-computer interfaces in segmenting objects from
images. Our approach is centered around designing an effective method for displaying the …

The existing, sophisticated AR gadgets1 in the market today are mostly exorbitantly priced.
This limits their usage for the upcoming academic research institutes and also their reach to …

Objective: During an interactive image segmentation task, the outcome is strongly influenced
by human factors. In particular, a reduction in computation time does not guarantee an …

The speed of graph-based segmentation approaches, such as random walker (RW) and
graph cut (GC), depends strongly on image size. For high-resolution images, the time …

This paper presents a foreground extraction model which develops the Grab Cut model by
applying the histogram shape analysis method. In this model, the foreground extraction is …