Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Dumas, Thierry"'
Autor:
Li, Yue, Li, Junru, Lin, Chaoyi, Zhang, Kai, Zhang, Li, Galpin, Franck, Dumas, Thierry, Wang, Hongtao, Coban, Muhammed, Ström, Jacob, Liu, Du, Andersson, Kenneth
The past decade has witnessed the huge success of deep learning in well-known artificial intelligence applications such as face recognition, autonomous driving, and large language model like ChatGPT. Recently, the application of deep learning has bee
Externí odkaz:
http://arxiv.org/abs/2309.05846
Publikováno v:
PCS 2021
The Sample Adaptive Offset (SAO) filter has been introduced in HEVC to reduce general coding and banding artefacts in the reconstructed pictures, in complement to the De-Blocking Filter (DBF) which reduces artifacts at block boundaries specifically.
Externí odkaz:
http://arxiv.org/abs/2207.05134
Publikováno v:
VCIP 2021
This paper presents a learning-based method to improve bi-prediction in video coding. In conventional video coding solutions, the motion compensation of blocks from already decoded reference pictures stands out as the principal tool used to predict t
Externí odkaz:
http://arxiv.org/abs/2202.03149
Publikováno v:
Picture Coding Symposium 2021
The interactions between different tools added successively to a block-based video codec are critical to its rate-distortion efficiency. In particular, when deep neural network-based intra prediction modes are inserted into a block-based video codec,
Externí odkaz:
http://arxiv.org/abs/2108.08087
Autor:
Dumas, Thierry
Ces vingt dernières années, la quantité d’images et de vidéos transmises a augmenté significativement, ce qui est principalement lié à l’essor de Facebook et Netflix. Même si les capacités de transmission s’améliorent, ce nombre crois
Externí odkaz:
http://www.theses.fr/2019REN1S029/document
This paper presents an iterative training of neural networks for intra prediction in a block-based image and video codec. First, the neural networks are trained on blocks arising from the codec partitioning of images, each paired with its context. Th
Externí odkaz:
http://arxiv.org/abs/2003.06812
This paper describes a set of neural network architectures, called Prediction Neural Networks Set (PNNS), based on both fully-connected and convolutional neural networks, for intra image prediction. The choice of neural network for predicting a given
Externí odkaz:
http://arxiv.org/abs/1807.06244
This paper explores the problem of learning transforms for image compression via autoencoders. Usually, the rate-distortion performances of image compression are tuned by varying the quantization step size. In the case of autoen-coders, this in princ
Externí odkaz:
http://arxiv.org/abs/1802.09371
Autor:
Tescher, Andrew G., Ebrahimi, Touradj, Guermoud, Hassane, Bordes, Philippe, Galpin, Franck, Dumas, Thierry, Reuzé, Kevin, François, Edouard, Rath, Gagan
Publikováno v:
Proceedings of SPIE; September 2024, Vol. 13137 Issue: 1 p131370N-131370N-7, 1182338p
Publikováno v:
2021 International Conference on Visual Communications and Image Processing (VCIP).
This paper presents a learning-based method to improve bi-prediction in video coding. In conventional video coding solutions, the motion compensation of blocks from already decoded reference pictures stands out as the principal tool used to predict t