Search Results for author: Matthias Kränzler

Found 15 papers, 1 papers with code

Predicting the Energy Demand of a Hardware Video Decoder with Unknown Design Using Software Profiling

no code implementations15 Feb 2024 Matthias Kränzler, Christian Herglotz, André Kaup

By using multiple video codecs for model training, we can predict the complexity of a HW decoder with an error of less than 8% and a minimum error of 4. 54% without using the corresponding HW decoder for training.

A Comprehensive Review of Software and Hardware Energy Efficiency of Video Decoders

no code implementations14 Feb 2024 Matthias Kränzler, Christian Herglotz, André Kaup

We find that AV1 is a sweet spot for optimized software decoder implementations with an additional energy demand of 16. 55% and bitrate savings of -43. 95% compared to VP9.

Extended Signaling Methods for Reduced Video Decoder Power Consumption Using Green Metadata

no code implementations26 Oct 2023 Christian Herglotz, Matthias Kränzler, Xixue Chu, Edouard Francois, Yong He, André Kaup

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 interactive signaling for remote decoder-power reduction for peer-to-peer video conferencing.

Video Decoding Energy Reduction Using Temporal-Domain Filtering

no code implementations12 Jun 2023 Christian Herglotz, Matthias Kränzler, Robert Ludwig, André Kaup

In this paper, we study decoding energy reduction opportunities using temporal-domain filtering and subsampling methods.

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

1 code implementation25 Apr 2023 Christian Herglotz, Hannah Och, Anna Meyer, Geetha Ramasubbu, Lena Eichermüller, Matthias Kränzler, Fabian Brand, Kristian Fischer, Dat Thanh Nguyen, Andy Regensky, André Kaup

Using additional supporting points inbetween standard points defined by parameters such as the quantization parameter, we assess the interpolation error of the Bj{\o}ntegaard-Delta (BD) calculus and its impact on the final BD value.

Quantization SSIM +1

Modeling of Energy Consumption and Streaming Video QoE using a Crowdsourcing Dataset

no code implementations11 Oct 2022 Christian Herglotz, Werner Robitza, Matthias Kränzler, André Kaup, Alexander Raake

In this paper, we perform a first analysis of both end-user power efficiency and Quality of Experience of a video streaming service.

Sweet Streams are Made of This: The System Engineer's View on Energy Efficiency in Video Communications

no code implementations30 Sep 2022 Christian Herglotz, Matthias Kränzler, Robert Schober, André Kaup

We discuss all relevant energy sinks, highlight dependencies with quality-of-service variables as well as video properties, review energy consumption models for different devices from the literature, and aggregate these existing models into a global model for the overall energy consumption of a generic online video service.

A Comparative Analysis of the Time and Energy Demand of Versatile Video Coding and High Efficiency Video Coding Reference Decoders

no code implementations21 Sep 2022 Matthias Kränzler, Christian Herglotz, André Kaup

The evaluation shows that the energy demand of the VTM decoder is increased significantly compared to HM and that the increase depends on the coding configuration.

Extending Video Decoding Energy Models for 360° and HDR Video Formats in HEVC

no code implementations21 Sep 2022 Matthias Kränzler, Christian Herglotz, André Kaup

We show that bit streams of the 360{\deg}, HDR, and fisheye video format can be estimated with a mean estimation error lower than 3. 88% if the setups have the same coding bit depth.

Decoding Energy Modeling For Versatile Video Coding

no code implementations21 Sep 2022 Matthias Kränzler, Christian Herglotz, André Kaup

In previous research, it was shown that the software decoding energy demand of High Efficiency Video Coding (HEVC) can be reduced by 15$\%$ by using a decoding-energy-rate-distortion optimization algorithm.

Advanced Design Space Exploration for Joint Energy and Quality Optimization for VVC

no code implementations21 Sep 2022 Matthias Kränzler, Christian Herglotz, André Kaup

In recent studies, it could be shown that the energy demand of Versatile Video Coding (VVC) decoders can be twice as high as comparable High Efficiency Video Coding (HEVC) decoders.

Optimized Decoding-Energy-Aware Encoding in Practical VVC Implementations

no code implementations27 Jun 2022 Matthias Kränzler, Adam Wieckowski, Geetha Ramasubbu, Benjamin Bross, André Kaup, Detlev Marpe, Christian Herglotz

We show that encoding using our proposed coding tool profiles, the decoding energy efficiency is improved by over 25% with a bit rate increase of less than 5% with respect to standard encoding.

A Bitstream Feature Based Model for Video Decoding Energy Estimation

no code implementations21 Apr 2022 Christian Herglotz, Yongjun Wen, Bowen Dai, Matthias Kränzler, André Kaup

In this paper we show that a small amount of bit stream features can be used to accurately estimate the energy consumption of state-of-the-art software and hardware accelerated decoder implementations for four different video codecs.

Beyond Bjøntegaard: Limits of Video Compression Performance Comparisons

no code implementations25 Feb 2022 Christian Herglotz, Matthias Kränzler, Ruben Mons, André Kaup

For 20 years, the gold standard to evaluate the performance of video codecs is to calculate average differences between ratedistortion curves, also called the "Bj{\o}ntegaard Delta".

valid Video Compression

Energy Efficient Video Decoding for VVC Using a Greedy Strategy Based Design Space Exploration

no code implementations23 Nov 2021 Matthias Kränzler, Christian Herglotz, André Kaup

IP traffic has increased significantly in recent years, and it is expected that this progress will continue.

4k

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