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Ph.D., D.Sc. Grzegorz Pastuszak
Faculty of Electronics and Information Technology
Dane kontaktowe:
Nowowiejska 15/19, pokoj 451
Repozytorium PW:

Wykaz obszarów badawczych:

Obszar badawczy Dziedzina naukowa
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