4 citations · 4 across the 9 of their papers we have counts for
12 papers
Perceptually-Weighted Video Quality Metric for Asymmetric Encoded Sports Videos
Anna Meyer, Jonas Janzen, Diwakara Reddy +5
Objective video quality metrics commonly assume uniform spatial attention, an assumption that conflicts with the selective nature of human visual perception, particularly in sports…
Parallel Context Modeling for Sliding Window Attention in Neural Video Coding
Alexander Kopte, André Kaup
Most neural video codecs rely on temporal conditioning, which makes them susceptible to error propagation over long sequences. While Transformer-based architectures like the VCT of…
TAFA-GSGC: Group-wise Scalable Point Cloud Geometry Compression with Progressive Residual Refinement
Xiumei Li, Alexander Kopte, André Kaup
Scalable compression is essential for bandwidth-adaptive transmission, yet most learned codecs are optimized for a fixed rate-distortion point, making rate adaptation costly due to…
TreeNet: A Light Weight Model for Low Bitrate Image Compression
Mahadev Prasad Panda, Purnachandra Rao Makkena, Srivatsa Prativadibhayankaram +2
Reducing computational complexity remains a critical challenge for the widespread adoption of learning-based image compression techniques. In this work, we propose TreeNet, a novel…
Sliding Window Attention for Learned Video Compression
Alexander Kopte, André Kaup
To manage the complexity of transformers in video compression, local attention mechanisms are a practical necessity. The common approach of partitioning frames into patches, howeve…
LoC-LIC: Low Complexity Learned Image Coding Using Hierarchical Feature Transforms
Ayman A. Ameen, Thomas Richter, André Kaup
Current learned image compression models typically exhibit high complexity, which demands significant computational resources. To overcome these challenges, we propose an innovativ…
Compact Latent Representation for Image Compression (CLRIC)
Ayman A. Ameen, Thomas Richter, André Kaup
Current image compression models often require separate models for each quality level, making them resource-intensive in terms of both training and storage. To address these limita…
Conditional Optimal Filter Selection for Multispectral Object Classification
Katja Kossira, David Schön, Jürgen Seiler +1
Capturing images using multispectral camera arrays has gained importance in medical, agricultural and environmental processes. However, using all available spectral bands is infeas…
Variable Rate Learned Wavelet Video Coding using Temporal Layer Adaptivity
Anna Meyer, André Kaup
Learned wavelet video coders provide an explainable framework by performing discrete wavelet transforms in temporal, horizontal, and vertical dimensions. With a temporal transform…
End-to-end learned Lossy Dynamic Point Cloud Attribute Compression
Dat Thanh Nguyen, Daniel Zieger, Marc Stamminger +1
Recent advancements in point cloud compression have primarily emphasized geometry compression while comparatively fewer efforts have been dedicated to attribute compression. This s…
A Study on the Effect of Color Spaces in Learned Image Compression
Srivatsa Prativadibhayankaram, Mahadev Prasad Panda, Jürgen Seiler +4
In this work, we present a comparison between color spaces namely YUV, LAB, RGB and their effect on learned image compression. For this we use the structure and color based learned…
Efficient Learned Wavelet Image and Video Coding
Anna Meyer, Srivatsa Prativadibhayankaram, André Kaup
Learned wavelet image and video coding approaches provide an explainable framework with a latent space corresponding to a wavelet decomposition. The wavelet image coder iWave++ ach…