Student performance, student progress and student potential are critical for measuring
learning results, selecting learning materials and learning activities. However, existing work …

Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image
Processing is a comprehensive and reliable resource which now provides explanations of …

The large amount of bandwidth that is required for the transmission or storage of digital
videos is the main incentive for researchers to develop algorithms that aim at compressing …

In this paper, we present a new graph-based technique to detect segments or contours of
objects in a given picture. Our algorithm is designed as an approximation of the Louvain …

This paper explores a robust region-based general framework for discriminating between
background and foreground objects within a complex video sequence. The proposed …

The motion estimation methods are used for modeling of various physical processes, the
behavior of objects, and prediction of events. In this chapter the moving objects in videos are …

The digital video stabilization is oriented on the removal of unintentional motions from video
sequences caused by camera vibrations under external conditions, motion of robots …

This work describes a computational approach for a typical machine-vision application, that
of human action recognition from video streams. We present a method that has the following …

The global motion estimation is a cornerstone of successful video stabilization. In current
research, the stabilization task of non-stationary video sequence with static scenes is solved …

Recently several hardware and software solutions have been provided to transmit videos
over low bit-rate channels. Although video decoders are simple and can be easily …