58 citations · 563 across the 59 of their papers we have counts for
55 papers · 1 filter
Extended Signaling Methods for Reduced Video Decoder Power Consumption Using Green Metadata
Christian Herglotz, Matthias Kränzler, Xixue Chu +3
In this paper, we discuss one aspect of the latest MPEG standard edition on energy-efficient media consumption, also known as Green Metadata (ISO/IEC 232001-11), which is the inter…
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…
Component-wise Power Estimation of Electrical Devices Using Thermal Imaging
Christian Herglotz, Simon Grosche, Akarsh Bharadwaj +1
This paper presents a novel method to estimate the power consumption of distinct active components on an electronic carrier board by using thermal imaging. The components and the b…
Power Modeling for Virtual Reality Video Playback Applications
Christian Herglotz, Stéphane Coulombe, Ahmad Vakili +1
This paper proposes a method to evaluate and model the power consumption of modern virtual reality playback and streaming applications on smartphones. Due to the high computational…
Power-Efficient Video Streaming on Mobile Devices Using Optimal Spatial Scaling
Christian Herglotz, André Kaup, Stéphane Coulombe +1
This paper derives optimal spatial scaling and rate control parameters for power-efficient wireless video streaming on portable devices. A video streaming application is studied, w…
Encoder Complexity Control in SVT-AV1 by Speed-Adaptive Preset Switching
Lena Eichermüller, Gaurang Chaudhari, Ioannis Katsavounidis +4
Current developments in video encoding technology lead to continuously improving compression performance but at the expense of increasingly higher computational demands. Regarding…
Processing Energy Modeling for Neural Network Based Image Compression
Christian Herglotz, Fabian Brand, Andy Regensky +2
Nowadays, the compression performance of neural-networkbased image compression algorithms outperforms state-of-the-art compression approaches such as JPEG or HEIC-based image compr…
Motion Plane Adaptive Motion Modeling for Spherical Video Coding in H.266/VVC
Andy Regensky, Christian Herglotz, André Kaup
Motion compensation is one of the key technologies enabling the high compression efficiency of modern video coding standards. To allow compression of spherical video content, speci…
Video Decoding Energy Reduction Using Temporal-Domain Filtering
Christian Herglotz, Matthias Kränzler, Robert Ludwig +1
In this paper, we study decoding energy reduction opportunities using temporal-domain filtering and subsampling methods. In particular, we study spatiotemporal filtering using a co…
Power Reduction Opportunities on End-User Devices in Quality-Steady Video Streaming
Christian Herglotz, Werner Robitza, Alexander Raake +2
This paper uses a crowdsourced dataset of online video streaming sessions to investigate opportunities to reduce the power consumption while considering QoE. For this, we base our…
Image Segmentation For Improved Lossless Screen Content Compression
Shabhrish Reddy Uddehal, Tilo Strutz, Hannah Och +1
In recent years, it has been found that screen content images (SCI) can be effectively compressed based on appropriate probability modelling and suitable entropy coding methods suc…
Learned Wavelet Video Coding using Motion Compensated Temporal Filtering
Anna Meyer, Fabian Brand, André Kaup
We present an end-to-end trainable wavelet video coder based on motion-compensated temporal filtering (MCTF). Thereby, we introduce a different coding scheme for learned video comp…
Multiscale Augmented Normalizing Flows for Image Compression
Marc Windsheimer, Fabian Brand, André Kaup
Most learning-based image compression methods lack efficiency for high image quality due to their non-invertible design. The decoding function of the frequently applied compressive…
Improved Screen Content Coding in VVC Using Soft Context Formation
Hannah Och, Shabhrish Reddy Uddehal, Tilo Strutz +1
Screen content images typically contain a mix of natural and synthetic image parts. Synthetic sections usually are comprised of uniformly colored areas and repeating colors and pat…
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…
Deep probabilistic model for lossless scalable point cloud attribute compression
Dat Thanh Nguyen, Kamal Gopikrishnan Nambiar, Andre Kaup
In recent years, several point cloud geometry compression methods that utilize advanced deep learning techniques have been proposed, but there are limited works on attribute compre…
Multispectral Image Compression Based on HEVC Using Pel-Recursive Inter-Band Prediction
Anna Meyer, Nils Genser, André Kaup
Recent developments in optical sensors enable a wide range of applications for multispectral imaging, e.g., in surveillance, optical sorting, and life-science instrumentation. Incr…
A novel Cross-Component Context Model for End-to-End Wavelet Image Coding
Anna Meyer, André Kaup
In contrast to traditional compression techniques performing linear transforms, the latent space of popular compressive autoencoders is obtained from a learned nonlinear mapping an…
Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Model
Dat Thanh Nguyen, Andre Kaup
In recent years, we have witnessed the presence of point cloud data in many aspects of our life, from immersive media, autonomous driving to healthcare, although at the cost of a t…
Motion Estimation for Fisheye Video With an Application to Temporal Resolution Enhancement
Andrea Eichenseer, Michel Bätz, André Kaup
Surveying wide areas with only one camera is a typical scenario in surveillance and automotive applications. Ultra wide-angle fisheye cameras employed to that end produce video dat…
Temporal Scalability of Dynamic Volume Data Using Mesh Compensated Wavelet Lifting
Wolfgang Schnurrer, Niklas Pallast, Thomas Richter +1
Due to their high resolution, dynamic medical 2D+t and 3D+t volumes from computed tomography (CT) and magnetic resonance tomography (MR) reach a size which makes them very unhandy…
Scalable Lossless Coding of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Prediction and Update
Daniela Lanz, Franz Schilling, André Kaup
Professional applications like telemedicine often require scalable lossless coding of sensitive data. 3-D subband coding has turned out to offer good compression results for dynami…
Optimizing Rate-Distortion Performance of Motion Compensated Wavelet Lifting with Denoised Prediction and Update
Daniela Lanz, André Kaup
Efficient lossless coding of medical volume data with temporal axis can be achieved by motion compensated wavelet lifting. As side benefit, a scalable bit stream is generated, whic…
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…