Video streams as unstructured or poorly structured data issue a challenge to create a unified
framework capable to depict and convey high-level stories. Up-to-date indexing and search …

We present the materials of analytical review of modern scientific literature, which deals with
the interaction of polarized radiation with phase-inhomogeneous and optically anisotropic …

The paper explored the problem of automatic diagnosis based on immunohistochemical
image analysis. The issue of automated diagnosis is a preliminary and advisory statement …

When faced with noisy time series data, significant challenges are encountered by clustering
algorithms, including noise interference, temporal distortions, and irregular data patterns. In …

This Chapter considers approaches to video skimming into semantically-consistent
segments of video streams, which are highly redundant and weakly structured data. In such …

Every year millions of photos and images appear in the Internet. Most of them are
downloaded to personal cloud storage or become available to the public. With such a huge …

The techniques of Dynamic Time War** (DTW) have shown a great efficiency for
clustering time series. On the other hand, it may lead to sufficiently high computational loads …

Under content-based video search in arbitrary metric space, there arises necessity to deal
with the problems concerning various aspects of Big Data specificities. Since most of the …

Increasing the energy efficiency of production processes is closely related to minimizing the
impact on the environment and is one of the priorities of the concept of sustainable …

Mueller-Matrix Tomography of Biological Tissues and Fluids Mueller-Matrix Tomography of
Biological Tissues and Fluids Digital Image Processing and Analysis Techniques …