Advances in multimedia data acquisition and storage technology have led to the growth of
very large multimedia databases. Analyzing this huge amount of multimedia data to discover …

With recent advances in mobile computing, the demand for visual localization or landmark
identification on mobile devices is gaining interest. We advance the state of the art in this …

We present a data-driven, unsupervised method for unusual scene detection from static
webcams. Such time-lapse data is usually captured with very low or varying framerate. This …

Automatic and real-time identification of unusual incidents is important for event detection
and alarm systems. In today's camera surveillance solutions video streams are displayed on …

Most of the recent work on image-based object recognition and 3D reconstruction has
focused on improving the underlying algorithms. In this paper we present a method to …

Visual surveillance networks are installed in many sensitive places in the present world.
Human security officers are required to continuously stare at large numbers of monitors …

The availability of large quantities of cultural-heritage data will enable new, previously
inconceivable, types of analysis and new applications. Currently, most emerging analysis …

In this paper, the authors analyze their graph-based approach for 2D and 3D object
duplicate detection in still images. A graph model is used to represent the 3D spatial …

This paper presents a prototype of an image centric information album, where the goal is to
automatically provide the user with information about i) the object or event depicted in an …

This thesis investigates new clustering paradigms and algorithms based on the principle of
the shared nearest-neighbors (SNN. As most other graph-based clustering approaches …