Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Olgierd Stankiewicz"'
Publikováno v:
IEEE Access, Vol 12, Pp 102536-102551 (2024)
The application of machine learning to video coding is generally studied in two main approaches: end-to-end video coding using deep neural networks and classic hybrid codecs with individual tools implemented using such networks. This work exploits th
Externí odkaz:
https://doaj.org/article/10e809943c9f4501ade0e85e98ca9cb5
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5768 (2024)
In order to achieve high realism an acceptable level of user experience in immersive videos, it is crucial to provide both the best possible quality of depth maps and minimize computational time. In this paper, we propose a new approach to the decode
Externí odkaz:
https://doaj.org/article/750007e35dd44f7b86852c3fbc7ebeca
Autor:
Adam Łuczak, Marta Stępniewska, Jakub Siast, Marek Domański, Olgierd Stankiewicz, Maciej Kurc, Jacek Konieczny
Publikováno v:
Journal of Telecommunications and Information Technology, Iss 3 (2023)
This paper summarizes recent research on network-on-multi-chip (NoMC) at Poznań University of Technology. The proposed network architecture supports hierarchical addressing and multicast transition mode. Such an approach provides new debugging funct
Externí odkaz:
https://doaj.org/article/e302a73f90204142955e9a9280f3f6f8
Publikováno v:
IEEE Access, Vol 8, Pp 5760-5776 (2020)
The paper presents a new method of depth estimation, dedicated for free-viewpoint television (FTV) and virtual navigation (VN). In this method, multiple arbitrarily positioned input views are simultaneously used to produce depth maps characterized by
Externí odkaz:
https://doaj.org/article/caaa1957227f4f06908e27df4c959167
Publikováno v:
IEEE Access, Vol 7, Pp 31110-31122 (2019)
The extensions of Advanced Video Coding (AVC) and High-Efficiency Video Coding (HEVC) for multiview video plus depth allow for the coding of 3D video scenes. During the standardization of these extensions, it was demonstrated that compression perform
Externí odkaz:
https://doaj.org/article/080ca3ab6f5548e3981cd8152b4ea696
Autor:
Tomasz Grajek, Jakub Stankowski, Damian Karwowski, Krzysztof Klimaszewski, Olgierd Stankiewicz, Krzysztof Wegner
Publikováno v:
IEEE Access, Vol 7, Pp 96764-96774 (2019)
This paper presents a detailed, quantitative analysis of video quality losses in a homogeneous HEVC video transcoder together with the analysis of the origin of those quality losses and the influence of quantization step alignment on transcoding. Wit
Externí odkaz:
https://doaj.org/article/583e427250314523bf4a2a39b20dbf69
Autor:
Olgierd Stankiewicz, Krzysztof Wegner, Damian Karwowski, Jakub Stankowski, Krzysztof Klimaszewski, Tomasz Grajek
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 64, Iss No 3 (2018)
Optimization of encoding process in video compression is an important research problem, especially in the case of modern, sophisticated compression technologies. In this paper, we consider HEVC, for which a novel method for selection of the encoding
Externí odkaz:
https://doaj.org/article/724d7785d90a4a09a1ad81ddcb982e1b
Publikováno v:
2021 Signal Processing Symposium (SPSympo).
In the intra-frame video coding, an image is divided into small blocks, and the actual coding is performed individually in these blocks. In this paper, the process is considered in the context of the widely used HEVC compression, where the optimum ch
Autor:
Olgierd Stankiewicz, Hubert Zabinski
Publikováno v:
2021 Signal Processing Symposium (SPSympo).
Correspondence matching is a prerequisite step in dense depth estimation techniques. In this paper we consider various similarity metrics for correspondence matching and we present an approach which can be used to optimize it. Experimental results sh
Autor:
Krzysztof Wegner, Olgierd Stankiewicz
Publikováno v:
Signal, Image and Video Processing. 13:1539-1547
This paper presents a novel approach to the occlusion handling problem in depth estimation using three views. A solution based on modification of similarity cost function is proposed. During the depth estimation via optimization algorithms, like Grap