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20212026
most citedModeling the Energy Consumption of the HEVC Decoding Process

58 citations · 530 across the 57 of their papers we have counts for

collaborators

57 papers

eess.IV2026

Energy-Aware Frame Rate Selection for Video Coding

Geetha Ramasubbu, Andrè Kaup, Christian Herglotz

The main contributions of this paper are twofold: First, we present an in-depth analysis of the impact of frame rate reductions on the visual quality of the video and the encoding…

eess.IV2026

Content-Driven Frame-Level Bit Prediction for Rate Control in Versatile Video Coding

Amritha Premkumar, Prajit T Rajendran, Vignesh V Menon +1

Rate control allocates bits efficiently across frames to meet a target bitrate while maintaining quality. Conventional two-pass rate control (2pRC) in Versatile Video Coding (VVC)…

eess.IV2026

Adaptive Resolution and Chroma Subsampling for Energy-Efficient Video Coding

Amritha Premkumar, Christian Herglotz

Conventional video encoders typically employ a fixed chroma subsampling format, such as YUV420, which may not optimally reflect variations in chroma detail across different types o…

eess.IV2026

Fast Multirate Encoding for 360° Video in OMAF Streaming Workflows

Amritha Premkumar, Christian Herglotz

Preparing high-quality 360-degree video for HTTP Adaptive Streaming requires encoding each sequence into multiple representations spanning different resolutions and quantization pa…

eess.IV2025

A High-Level Feature Model to Predict the Encoding Energy of a Hardware Video Encoder

Diwakara Reddy, Christian Herglotz, André Kaup

In today's society, live video streaming and user generated content streamed from battery powered devices are ubiquitous. Live streaming requires real-time video encoding, and hard…

eess.IV2024

Modeling the Energy Consumption of the HEVC Software Encoding Process using Processor events

Geetha Ramasubbu, Andrè Kaup, Christian Herglotz

Developing energy-efficient video encoding algorithms is highly important due to the high processing complexities and, consequently, the high energy demand of the encoding process.…

eess.IV2024

Design Space Exploration at Frame-Level for Joint Decoding Energy and Quality Optimization in VVC

Teresa Stürzenhofäcker, Matthias Kränzler, Christian Herglotz +1

In the pursuit of a reduced energy demand of VVC decoders, it was found that the coding tool configuration has a substantial influence on the bit rate efficiency and the decoding e…

eess.IV2024

SVT-AV1 Encoding Bitrate Estimation Using Motion Search Information

Lena Eichermüller, Gaurang Chaudhari, Ioannis Katsavounidis +4

Enabling high compression efficiency while keeping encoding energy consumption at a low level, requires prioritization of which videos need more sophisticated encoding techniques.…

eess.IV2024★ 3 cited

Towards Video Codec Performance Evaluation: A Rate-Energy-Distortion Perspective

Geetha Ramasubbu, André Kaup, Christian Herglotz

The Bjøntegaard Delta rate (BD-rate) objectively assesses the coding efficiency of video codecs using the rate-distortion (R-D) performance but overlooks encoding energy, which is…

eess.IV2024

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

Matthias Kränzler, Christian Herglotz, André Kaup

Energy and compression efficiency are two essential parts of modern video decoder implementations that have to be considered. This work comprehensively studies the following six vi…

eess.IV2024

Energy Demand Prediction for Hardware Video Decoders Using Software Profiling

Matthias Kränzler, Christian Herglotz, André Kaup

Energy efficiency for video communications is essential for mobile devices with a limited battery capacity. Therefore, hardware decoder implementations are commonly used to signifi…

eess.IV2024★ 1 cited

Encoding Time and Energy Model for SVT-AV1 based on Video Complexity

Lena Eichermüller, Gaurang Chaudhari, Ioannis Katsavounidis +4

The share of online video traffic in global carbon dioxide emissions is growing steadily. To comply with the demand for video media, dedicated compression techniques are continuous…

eess.IV2023★ 1 cited

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…

eess.IV2023

Improving HEVC Encoding of Rendered Video Data Using True Motion Information

Christian Herglotz, David Müller, Andreas Weinlich +4

This paper shows that motion vectors representing the true motion of an object in a scene can be exploited to improve the encoding process of computer generated video sequences. Th…

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★ 11 cited

Video Decoding Energy Estimation Using Processor Events

Christian Herglotz, André Kaup

In this paper, we show that processor events like instruction counts or cache misses can be used to accurately estimate the processing energy of software video decoders. Therefore,…

eess.IV2023★ 5 cited

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…

eess.IV2023★ 7 cited

Efficient coding of 360° videos exploiting inactive regions in projection formats

Christian Herglotz, Mohammadreza Jamali, Stéphane Coulombe +2

This paper presents an efficient method for encoding common projection formats in 360 video coding, in which we exploit inactive regions. These regions are ignored in the r…

eess.IV2023★ 5 cited

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…

eess.IV2023★ 14 cited

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…

eess.IV2023

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…

eess.IV2023

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…

eess.IV2023★ 5 cited

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…

eess.IV2023★ 6 cited

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…