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View article: Decoding Complexity-Rate-Quality Pareto-Front for Adaptive VVC Streaming
Decoding Complexity-Rate-Quality Pareto-Front for Adaptive VVC Streaming Open
Pareto-front optimization is crucial for addressing the multi-objective challenges in video streaming, enabling the identification of optimal trade-offs between conflicting goals such as bitrate, video quality, and decoding complexity. Thi…
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: Enhancing Film Grain Coding in VVC: Improving Encoding Quality and Efficiency
Enhancing Film Grain Coding in VVC: Improving Encoding Quality and Efficiency Open
This paper presents an in-depth analysis of film grain handling in open-source implementations of the Versatile Video Coding (VVC) standard. We focus on two key components: the Film Grain Analysis (FGA) module implemented in VVenC and the …
View article: Convex-hull Estimation using XPSNR for Versatile Video Coding
Convex-hull Estimation using XPSNR for Versatile Video Coding Open
As adaptive streaming becomes crucial for delivering high-quality video content across diverse network conditions, accurate metrics to assess perceptual quality are essential. This paper explores using the eXtended Peak Signal-to-Noise Rat…
View article: Quality-Aware Dynamic Resolution Adaptation Framework for Adaptive Video Streaming
Quality-Aware Dynamic Resolution Adaptation Framework for Adaptive Video Streaming Open
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View article: Inter-Frame Parallelization in an Open Optimized VVC Encoder
Inter-Frame Parallelization in an Open Optimized VVC Encoder Open
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View article: Energy-efficient Adaptive Video Streaming with Latency-Aware Dynamic Resolution Encoding
Energy-efficient Adaptive Video Streaming with Latency-Aware Dynamic Resolution Encoding Open
Traditional per-title encoding schemes aim to optimize encoding resolutions\nto deliver the highest perceptual quality for each representation. However,\nkeeping the encoding time within an acceptable threshold for a smooth user\nexperienc…
View article: Review and evaluation of VVC fast partitioning search methods using a common baseline
Review and evaluation of VVC fast partitioning search methods using a common baseline Open
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View article: Gain of Grain
Gain of Grain Open
Film grain is a distinctive visual characteristic cherished by filmmakers and\ncinephiles for its ability to evoke nostalgia and artistic aesthetics. However,\nfaithful preservation of film grain during encoding poses unique challenges.\nF…
View article: Video Super-Resolution for Optimized Bitrate and Green Online Streaming
Video Super-Resolution for Optimized Bitrate and Green Online Streaming Open
Conventional per-title encoding schemes strive to optimize encoding resolutions to deliver the utmost perceptual quality for each bitrate ladder representation. Nevertheless, maintaining encoding time within an acceptable threshold is equa…
View article: Neural Network Coding of Difference Updates for Efficient Distributed Learning Communication
Neural Network Coding of Difference Updates for Efficient Distributed Learning Communication Open
Distributed learning requires a frequent communication of neural network update data. For this, we present a set of new compression tools, jointly called differential neural network coding (dNNC). dNNC is specifically tailored to efficient…
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: Efficient VVC Encoding Using Hierarchical Parallelization: A Comprehensive Analysis
Efficient VVC Encoding Using Hierarchical Parallelization: A Comprehensive Analysis Open
This paper presents and analyzes different parallelization strategies in VVenC, an open and optimized software encoder implementation of the Versatile Video Coding (VVC) standard. VVC has been developed to address the increasing demand for…
View article: All-intra rate control using low complexity video features for Versatile Video Coding
All-intra rate control using low complexity video features for Versatile Video Coding Open
Versatile Video Coding (VVC) allows for large compression efficiency gains over its predecessor, High Efficiency Video Coding (HEVC). The added efficiency comes at the cost of increased runtime complexity, especially for encoding. It is th…
View article: Open and optimized VVC Implementations on ARM Architectures
Open and optimized VVC Implementations on ARM Architectures Open
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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: Optimized Decoding-Energy-Aware Encoding in Practical VVC Implementations
Optimized Decoding-Energy-Aware Encoding in Practical VVC Implementations Open
The optimization of the energy demand is crucial for modern video codecs. Previous studies show that the energy demand of VVC decoders can be improved by more than 50% if specific coding tools are disabled in the encoder. However, those ap…
View article: VVC in the cloud and browser playback
VVC in the cloud and browser playback Open
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View article: VVC Search Space Analysis Including an Open, Optimized Implementation
VVC Search Space Analysis Including an Open, Optimized Implementation Open
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View article: A Complete End to End Open Source Toolchain for the Versatile Video Coding (VVC) Standard
A Complete End to End Open Source Toolchain for the Versatile Video Coding (VVC) Standard Open
Versatile Video Coding (VVC) is the most recent international video coding standard jointly developed by ITU-T and ISO/IEC, which has been finalized in July 2020. VVC allows for significant bit-rate reductions around 50% for the same subje…
View article: Overview of the Screen Content Support in VVC: Applications, Coding Tools, and Performance
Overview of the Screen Content Support in VVC: Applications, Coding Tools, and Performance Open
In an increasingly connected world, consumer video experiences have diversified away from traditional broadcast video into new applications with increased use of non-camera-captured content such as computer screen desktop recordings or ani…
View article: Compression efficiency analysis of AV1, VVC, and HEVC for random access applications
Compression efficiency analysis of AV1, VVC, and HEVC for random access applications Open
AOM Video 1 (AV1) and Versatile Video Coding (VVC) are the outcome of two recent independent video coding technology developments. Although VVC is the successor of High Efficiency Video Coding (HEVC) in the lineage of international video c…
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: DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks Open
The field of video compression has developed some of the most sophisticated and efficient compression algorithms known in the literature, enabling very high compressibility for little loss of information. Whilst some of these techniques ar…
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: DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression Open
We present DeepCABAC, a novel context-adaptive binary arithmetic coder for compressing deep neural networks. It quantizes each weight parameter by minimizing a weighted rate-distortion function, which implicitly takes the impact of quantiz…
View article: DeepCABAC: Context-adaptive binary arithmetic coding for deep neural\n network compression
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural\n network compression Open
We present DeepCABAC, a novel context-adaptive binary arithmetic coder for\ncompressing deep neural networks. It quantizes each weight parameter by\nminimizing a weighted rate-distortion function, which implicitly takes the\nimpact of quan…