High efficiency video coding (HEVC) has been finalized as the most widely utilized standard, jointly developed by ITU-T, VCEG, and MPEG. In HEVC, quad-tree structure of unit partition is one substantial modules provides significant gains following huge time. this paper, a rate–distortion-based network (RDNet) proposed to make decisions based on statistical features. RDNet composed prediction su...

Neural networks can be successfully used to improve several modules of advanced video coding schemes. In particular, compression colour components was shown greatly benefit from usage machine learning models, thanks the design appropriate attention-based architectures that allow prediction exploit specific samples in reference region. However, such tend complex and computationally intense, may ...

The aim of this work was to study the morphology adhesion formation under influence ozone in experiment, as well development prediction criteria and methods for correcting increased children. Materials methods. Experimental studies were carried out on 36 rabbits «Shinshilla» with a body weight 0.7–1.2 kg., which 12 animals included control group, did not carry ozonation abdominal cavity. main g...

High Efficiency Video Coding (HEVC) is a new video coding standard following H.264/AVC. By introducing a flexible coding unit (CU), which can be recursively divided from 64 64  to 8 8 blocks in a Quadtree-Structure, HEVC achieves significantly higher coding efficiency than the previous standards. With the flexible CU structure, HEVC can effectively adapt to complicated contents with a smaller...

This paper investigates whether the self-heating effect in short intra-block wires will become apparent with technology scaling. These wires seem to have good thermal radiation characteristics, but we validate that the self-heating effect in local signal wires will be greater than that in optimal repeater-inserted global wires. Our numerical experiment shows that the maximum temperature increas...

We develop a hybrid, real-time solar forecasting computational model to construct prediction intervals (PIs) of one-minute averaged direct normal irradiance for four intra-hour forecasting horizons: five, ten, fifteen, and 20 min. This hybrid model, which integrates sky imaging techniques, support vector machine and artificial neural network sub-models, is developed using one year of co-located...

In this paper, a new low complexity intra coding framework is presented. The proposed method is extremely computationally efficient as it uses intra prediction in the DCT domain. To facilitate finding a good predictor, we propose to extend the number of neighouring blocks to be searched, based on a consideration of the type of edges we can expect to observe in the pixel data. The best predictor...