Zobrazeno 1 - 10
of 182
pro vyhledávání: '"André Kaup"'
Publikováno v:
IEEE Circuits and Systems Magazine. 23:57-77
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15d1f514af8ba60096eead4ec70250a7
https://doi.org/10.1109/mcas.2023.3234739
https://doi.org/10.1109/mcas.2023.3234739
Publikováno v:
Heliyon, Vol 5, Iss 10, Pp e02560- (2019)
The usage of embedded systems is omnipresent in our everyday life, e.g., in smartphones, tablets, or automotive devices. These devices are able to deal with challenging image processing tasks like real-time detection of faces or high dynamic range im
Externí odkaz:
https://doaj.org/article/79ddc448c24a4e2bbbba24ea9f9dcc66
In this paper, a synthetic hyperspectral video database is introduced. Since it is impossible to record ground truth hyperspectral videos, this database offers the possibility to leverage the evaluation of algorithms in diverse applications. For all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42aebc8ff18f45c4f25770339a4656f8
In recent years, it has been found that screen content images (SCI) can be effectively compressed based on appropriate probability modelling and suitable entropy coding methods such as arithmetic coding. The key objective is determining the best prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::895d9d18c4ad1b393dd171807c2e6bba
Autor:
Seiler, J., André Kaup
Publikováno v:
Scopus-Elsevier
In the recent years, multi-core processor designs have found their way into many computing devices. To exploit the capabilities of such devices in the best possible way, signal processing algorithms have to be adapted to an operation in parallel task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dabbe7d4ccd0aa56d6a890326905e8a
http://arxiv.org/abs/2207.00233
http://arxiv.org/abs/2207.00233
Autor:
Seiler, J., André Kaup
Publikováno v:
Scopus-Elsevier
Although wireless and IP-based access to video content gives a new degree of freedom to the viewers, the risk of severe block losses caused by transmission errors is always present. The purpose of this paper is to present a new method for concealing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bea1df811f4da26b2b59bd3440003a1b
http://arxiv.org/abs/2207.00231
http://arxiv.org/abs/2207.00231
Publikováno v:
Scopus-Elsevier
The reconstruction of clipped speech signals is an important task in audio signal processing to achieve an enhanced audio quality for further processing. In this paper, Frequency Selective Extrapolation (FSE), which is commonly used for error conceal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=arXiv_dedup_::3943b7f4a2e633f9ebc6827e3930d412
http://arxiv.org/abs/2204.04068
http://arxiv.org/abs/2204.04068
Publikováno v:
Scopus-Elsevier
This paper describes a very efficient algorithm for image signal extrapolation. It can be used for various applications in image and video communication, e.g. the concealment of data corrupted by transmission errors or prediction in video coding. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21fcbd8941c2e6ec1e910d1baaeb932a
Autor:
Dat Nguyen Thanh, André Kaup
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eaf13b5fe575d7c93a4baedcdacf5a42
https://doi.org/10.1109/tcsvt.2023.3239321
https://doi.org/10.1109/tcsvt.2023.3239321
Publikováno v:
Journal of Imaging, Vol 4, Iss 7, p 90 (2018)
In the context of video background–foreground separation, we propose a compressive online Robust Principal Component Analysis (RPCA) with optical flow that separates recursively a sequence of video frames into foreground (sparse) and background (lo
Externí odkaz:
https://doaj.org/article/3f6bb6062e484751ae811aedb9e3951b