Recent advances on human motion analysis have made the extraction of human skeleton
structure feasible, even from single depth images. This structure has been proven quite …

We propose an audio fingerprinting method that adapts findings from the field of blind
astrometry to define simple, efficiently representable characteristic feature combinations …

This paper addresses the problem of continuous gesture recognition from articulated poses.
Unlike the common isolated recognition scenario, the gesture boundaries are here …

Aligning video is a fundamental task in computer graphics and vision, required for a wide
range of applications. We present an interactive method for computing optimal nonlinear …

We address the problem of specific video event retrieval. Given a query video of a specific
event, eg, a concert of Madonna, the goal is to retrieve other videos of the same event that …

We propose a new audio fingerprinting method that adapts findings from the field of blind
astrometry to define simple, efficiently representable characteristic feature combinations …

Given is a set of images, where all images show views of the same area at different points in
time and from different viewpoints. The task is the alignment of all images such that relevant …

We propose an automatic system for organizing the content of a collection of unstructured
videos of an articulated object class (eg, tiger, horse). By exploiting the recurring motion …

We demonstrate that Hopfield networks can tackle the max-sum diversification problem. To
this end, we express max-sum diversification as a quadratic unconstrained binary …

In this paper, an inter-video mapping approach is proposed to integrate video footages from
two dashcams installed on a preceding and its following vehicle to provide the illusion that …