Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Christian Rohlfing"'
Autor:
Yeremia Gunawan Adhisantoso, Jan Voges, Christian Rohlfing, Viktor Tunev, Jens-Rainer Ohm, Jörn Ostermann
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-13 (2023)
Abstract Background In recent years, advances in high-throughput sequencing technologies have enabled the use of genomic information in many fields, such as precision medicine, oncology, and food quality control. The amount of genomic data being gene
Externí odkaz:
https://doaj.org/article/27f27b9a55b14537b157bdf892750a1d
Publikováno v:
2022 Picture Coding Symposium (PCS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da588425486134ed6ec278f1c51abf59
https://doi.org/10.1109/pcs56426.2022.10018065
https://doi.org/10.1109/pcs56426.2022.10018065
Autor:
Jens Schneider, Christian Rohlfing
Publikováno v:
2021 International Conference on Visual Communications and Image Processing (VCIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c80f93f691f5b7d56c3a72d82138d2a
https://doi.org/10.1109/vcip53242.2021.9675361
https://doi.org/10.1109/vcip53242.2021.9675361
Publikováno v:
ICIP
Based on a previously published neural network-based video intra prediction approach, this paper proposes and evaluates several extensions of both the training process as well as the network architectures. In particular, the influence of coding artif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6f6a503144b8fe6a749a610c7eac460
https://doi.org/10.1109/icip40778.2020.9190713
https://doi.org/10.1109/icip40778.2020.9190713
Publikováno v:
ICASSP
The concept of Adaptive Resolution Change (ARC) in video coding is already known from former international standards such as MPEG-4 [1]. However, in MPEG-4 linear filters are used for upsampling, which is crucial to coding video at varying resolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acfc7f173d2b0d9a1abdfd87ff0f37d7
https://doi.org/10.1109/icassp40776.2020.9054522
https://doi.org/10.1109/icassp40776.2020.9054522
Publikováno v:
Signal processing : image communication 100, 116529 (2022). doi:10.1016/j.image.2021.116529
In this paper we propose an approach for learning low dimensional optimized feature space with minimum intra-class variance and maximum inter-class variance. We address the problem of high-dimensionality of feature vectors extracted from neural netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9447c5e92f7c9df060c6677d52727989
http://arxiv.org/abs/2001.11400
http://arxiv.org/abs/2001.11400
Publikováno v:
VCIP
Inter-frame prediction plays an important role in video coding by predicting the current frame from previously encoded pictures, called reference pictures. In the case of camera motion, the content of a current frame could be very different from its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c33d18a8328d63b7a87c67aa6e04ea9e
https://doi.org/10.1109/vcip47243.2019.8965883
https://doi.org/10.1109/vcip47243.2019.8965883
Autor:
Elena Alshina, Zhao Zhijie, Eckehard Steinbach, Esenlik Semih, Christian Rohlfing, Gao Han, Max Blaser
Publikováno v:
PCS
Non-rectangular block partitioning is a well-known method for improved inter-picture prediction in video coding, enabling better spatial adaptation to the signal properties. This contribution presents the most recent proposal of geometric inter-predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81a83a831730cc0d9030adefa7eca8c7
https://doi.org/10.1109/pcs48520.2019.8954504
https://doi.org/10.1109/pcs48520.2019.8954504
Publikováno v:
ICASSP
Recently, neural networks were shown to improve video and image intra prediction significantly. In this paper, the properties of different architectures for neural network-based intra prediction are evaluated. This includes an analysis of the propert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01b6a2a2a7d21291ff0ab8729229ede3
https://doi.org/10.1109/icassp.2019.8682846
https://doi.org/10.1109/icassp.2019.8682846
Publikováno v:
43rd International Conference on Acoustics, Speech and Signal Processing
ICASSP: International Conference on Acoustics, Speech and Signal Processing
ICASSP: International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Canada. pp.56-60, ⟨10.1109/ICASSP.2018.8462515⟩
ICASSP
ICASSP: International Conference on Acoustics, Speech and Signal Processing
ICASSP: International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Canada. pp.56-60, ⟨10.1109/ICASSP.2018.8462515⟩
ICASSP
International audience; Audio source separation comes with the need to devise mul-tichannel filters that can exploit priors about the target signals. In that context, experience shows that modeling magnitude spectra is effective. However, devising a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::678fb3da1d404f4fb262e5101f910ee4
https://hal.inria.fr/hal-01713886
https://hal.inria.fr/hal-01713886