Christian Herglotz — accepted AI-conference papers

2024

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

Lena Eichermüller, Gaurang Chaudhari, Ioannis Katsavounidis, Zhijun Lei, Hassene Tmar, Christian Herglotz +1

ICASSP 2024accepted

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 continuously optimized, but at the expense of increasingly higher computational demands and thus rising energy consumption at the…

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2022

A Low-Parametric Model for Bit-Rate Estimation of VVC Residual Coding

Fabian Brand, Christian Herglotz, André Kaup

ICASSP 2022accepted

There are many tasks within video compression which re-quire fast bit rate estimation. As an example, rate-control algorithms are only feasible because it is possible to estimate the required bit rate without needing to encode the en-tire block. With residual coding technology becoming more and more…

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2021

A Novel Viewport-Adaptive Motion Compensation Technique for Fisheye Video

Andy Regensky, Christian Herglotz, André Kaup

ICASSP 2021accepted

Although fisheye cameras are in high demand in many application areas due to their large field of view, many image and video signal processing tasks such as motion compensation suffer from the introduced strong radial distortions. A recently proposed projection-based approach takes the fisheye proje…

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2021

Saliency-Driven Versatile Video Coding for Neural Object Detection

Kristian Fischer, Felix Fleckenstein, Christian Herglotz, André Kaup

ICASSP 2021accepted

Saliency-driven image and video coding for humans has gained importance in the recent past. In this paper, we pro-pose such a saliency-driven coding framework for the video coding for machines task using the latest video coding standard Versatile Video Coding (VVC). To determine the salient regions…

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