Upcoming Features of SPLAT-VO in Astroinformatics

During last decade was developed fully automatized (robotic) class of telescopes, that produce huge amount of data per each night. Amount of recorded data is usually in the scale of petabytes. To process properly all data and select an important events it is needed to use sophisticated software methods and algorithms. It caused an appearance of a new field of science - astroinformatics. In this paper we introduce a small part of our contribution to the astroinformatics field - a specialized software SPLAT-VO. It is used for processing and visualization of astrophysical data generated by nonlinear, complex or even chaotic processes in the space. Overview of new features so far prepared for new version of SPLAT-VO. The overview is focused on enhancements of user experience, work with SAMP protocol and other interoperability that improves work with global list of spectra, plot window and analysis menu

Multimedia and Interactivity in Educational Materials

Teachers can choose from a group of different kinds of educational materials. These educational materials vary with their features, properties, and possibilities of use. Nowadays, teachers are using more digital educational materials, which are simple to use and offers advantages that come from their digital form. But not all digital materials provide significant benefits for effective education. The main features that improve the learning of students are multimedia and interactive elements. This paper contains a summary of multimedia and interactivity and different points of view on these terms.&nbsp

On the Evaluation of Coarse Grained Parallelism in AV1 Video Coding

Video compression is arguably one of the most time consuming tasks, especially at high resolutions. For this reason parallelization has been used at various levels: from coarse grained schemes that consider groups of blocks or frames as granules to fine grained approaches that parallelize the compression within a block of pels, e.g., at motion estimation. Given that the decade old H.264/AVC is showing its age in the 4K era, AV1 was recently launched by AOMedia as a royalty free standard promising significant compression gains (for the same quality) over the older H.264/AVC and VP9 protocols. Since AV1 is currently at its infancy, most initial research efforts concentrated on identifying possible strengths and shortcomings of the standard at various settings, focusing on video quality and compression efficiency. However, time performance and parallelism potential are equally important, particularly for media providers operating in the Cloud. In this paper we provide evaluation results of coarse grained parallelism methods implemented by the reference AV1 codec. © 2018 IEEE