9 papers · 1 filter
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…
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…
Overview of Variable Rate Coding in JPEG AI
Panqi Jia, Fabian Brand, Dequan Yu +3
Empirical evidence has demonstrated that learning-based image compression can outperform classical compression frameworks. This has led to the ongoing standardization of learned-ba…
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…
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.…
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…