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Ph.D., D.Sc. Grzegorz Pastuszak
Faculty of Electronics and Information Technology
Nowowiejska 15/19, pokoj 451
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# Research Area Dziedzina naukowa
1 New hardware video compression acceleration algorithms: The research topic is devoted to the development of new hardware architectures for the latest H.266 / VVC video compression standard. This standard allows to improve the efficiency of compression compared to its predecessors (H.264/AVC and H.265/HEVC) thanks to the use of new options and methods of encoding and mode selection. However, it entails a great deal of computation that makes software implementations far from handling HD, UHD-4K and UHD-8K high definition video in real time. Implementations in digital circuits in FPGA and ASIC technology may solve the problem, but they require a large amount of resources and go beyond the limitations of existing solutions. The aim of the work is to modify the encoder algorithm and develop its hardware architecture so that it is cost-effective, meets the performance requirements and provides compression efficiency close to the limits achieved by the software reference encoders. Automation, Electronics, Electrical Engineering and Space Technologies
2 New video compression methods based on neural networks: The research problem is devoted to the development of new architectures of convolutional neural networks and other video signal processing components for effective compression of video sequences. These other elements include the use of orthogonal transformations of the DCT and DWT type, descriptors allowing for the formation of the context. Basically, the network architectures for compression are based on the autoencoder structure. However, the relationship between the layers and the structure of the layers itself depends on many hyper parameters. The goal is to find a solution that will give the best possible compression efficiency at a limited computational cost. It is advisable to use learning in the GAN configuration to adjust the compression to the human vision system. Information and Communication Technology
3 New video compression methods for low-latency transmission: The research issue is devoted to the development of new algorithms for selecting the encoding modes and adjusting the compression rate for video sequences. The aim of the work is to develop software methods for creating information streams intended for signal transmission in real-time conditions with low delay (several milliseconds). Traditional video compression schemes use the so-called Intra keyframes encoded entirely as single images without reference to previous images and allowing playback to begin without reference to the history. The cost of this functionality is a strongly and temporarily increased bitstream. Variations in the complexity of the encoded video content also vary the instantaneous stream bit rate. Through the efficient algorithm of compression rate adjustment and Intra / Inter mode selection for blocks within frames, bit rate balance and full re-synchronization can be achieved after decoding a few frames. Information and Communication Technology