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20212023
most citedVideo Coding for Machines with Feature-Based Rate-Distortion Optimization

53 citations · 176 across the 13 of their papers we have counts for

collaborators

14 papers

eess.IV2023★ 8 cited

On Versatile Video Coding at UHD with Machine-Learning-Based Super-Resolution

Kristian Fischer, Christian Herglotz, André Kaup

Coding 4K data has become of vital interest in recent years, since the amount of 4K data is significantly increasing. We propose a coding chain with spatial down- and upscaling tha…

eess.IV2023

Spatially-Adaptive Learning-Based Image Compression with Hierarchical Multi-Scale Latent Spaces

Fabian Brand, Alexander Kopte, Kristian Fischer +1

Adaptive block partitioning is responsible for large gains in current image and video compression systems. This method is able to compress large stationary image areas with only a…

eess.IV2023★ 22 cited

The Bjøntegaard Bible -- Why your Way of Comparing Video Codecs May Be Wrong

Christian Herglotz, Hannah Och, Anna Meyer +8

In this paper, we provide an in-depth assessment on the Bjøntegaard Delta. We construct a large data set of video compression performance comparisons using a diverse set of metrics…

eess.IV2023

Saliency-Driven Hierarchical Learned Image Coding for Machines

Kristian Fischer, Fabian Brand, Christian Blum +1

We propose to employ a saliency-driven hierarchical neural image compression network for a machine-to-machine communication scenario following the compress-then-analyze paradigm. B…

eess.IV2023★ 3 cited

Learning Frequency-Specific Quantization Scaling in VVC for Standard-Compliant Task-driven Image Coding

Kristian Fischer, Fabian Brand, Christian Herglotz +1

Today, visual data is often analyzed by a neural network without any human being involved, which demands for specialized codecs. For standard-compliant codec adaptations towards ce…

eess.IV2022★ 6 cited

Evaluation of Video Coding for Machines without Ground Truth

Kristian Fischer, Markus Hofbauer, Christopher Kuhn +2

In the emerging field of video coding for machines, video datasets with pristine video quality and high-quality annotations are required for a comprehensive evaluation. However, ex…