Jonathan Pfaff
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View article: Optimizing Learned Image Compression On Scalar and Entropy-Constraint Quantization
Optimizing Learned Image Compression On Scalar and Entropy-Constraint Quantization Open
The continuous improvements on image compression with variational autoencoders have lead to learned codecs competitive with conventional approaches in terms of rate-distortion efficiency. Nonetheless, taking the quantization into account d…
View article: Spatio-Temporal Convolutional Neural Network for Enhanced Inter Prediction in Video Coding
Spatio-Temporal Convolutional Neural Network for Enhanced Inter Prediction in Video Coding Open
This paper presents a convolutional neural network (CNN)-based enhancement to inter prediction in Versatile Video Coding (VVC). Our approach aims at improving the prediction signal of inter blocks with a residual CNN that incorporates spat…
View article: Region-Based Template Matching Prediction for Intra Coding
Region-Based Template Matching Prediction for Intra Coding Open
Copy prediction is a renowned category of prediction techniques in video coding where the current block is predicted by copying the samples from a similar block that is present somewhere in the already decoded stream of samples. Motion-com…
View article: Intra Prediction and Mode Coding in VVC
Intra Prediction and Mode Coding in VVC Open
This paper presents the intra prediction and mode coding of the Versatile Video Coding (VVC) standard. This standard was collaboratively developed by the Joint Video Experts Team (JVET). It follows the traditional architecture of a hybrid …
View article: Rate-Distortion Optimized Encoding for Deep Image Compression
Rate-Distortion Optimized Encoding for Deep Image Compression Open
Deep-learned variational auto-encoders (VAE) have shown remarkable capabilities for lossy image compression. These neural networks typically employ non-linear convolutional layers for finding a compressible representation of the input imag…
View article: A Signal Adaptive Prediction Filter for Video Coding Using Directional Total Variation: Mathematical Framework and Parameter Selection
A Signal Adaptive Prediction Filter for Video Coding Using Directional Total Variation: Mathematical Framework and Parameter Selection Open
In this paper we combine video compression and modern image processing methods. Iterative filter methods for prediction signals based on classic inpainting methods are introduced and extensive parameter tests are described. In order to con…
View article: Video Compression Using Generalized Binary Partitioning, Trellis Coded Quantization, Perceptually Optimized Encoding, and Advanced Prediction and Transform Coding
Video Compression Using Generalized Binary Partitioning, Trellis Coded Quantization, Perceptually Optimized Encoding, and Advanced Prediction and Transform Coding Open
In this paper, we describe a video coding design that enables a higher coding efficiency than the HEVC standard. The proposed video codec follows the design of block-based hybrid video coding, but includes a number of advanced coding tools…
View article: A signal adaptive diffusion filter for video coding: improved parameter selection
A signal adaptive diffusion filter for video coding: improved parameter selection Open
michael schäfer, anastasia henkel, heiko schwarz, detlev marpe and