activity
20232026
most citedCross-Modal Pre-Aligned Method with Global and Local Information for Remote-Sensing Image and Text Retrieval

17 citations · 22 across the 15 of their papers we have counts for

collaborators

15 papers

eess.IV2026

Disparity Estimation of Planar Reflective Surfaces Using Specular Reflections From a Single Light Source

Katja Kossira, Frank Sippel, Jürgen Seiler +1

Multi-camera imaging and camera arrays have become ubiquitous in many applications, such as autonomous driving, robot control, or virtual reality, and accurate disparity maps of ob…

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.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.IV2025★ 1 cited

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…

cs.CV2024★ 17 cited

Cross-Modal Pre-Aligned Method with Global and Local Information for Remote-Sensing Image and Text Retrieval

Zengbao Sun, Ming Zhao, Gaorui Liu +1

Remote sensing cross-modal text-image retrieval (RSCTIR) has gained attention for its utility in information mining. However, challenges remain in effectively integrating global an…

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

On Annotation-free Optimization of Video Coding for Machines

Marc Windsheimer, Fabian Brand, André Kaup

Today, image and video data is not only viewed by humans, but also automatically analyzed by computer vision algorithms. However, current coding standards are optimized for human p…

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

Analysis of Neural Video Compression Networks for 360-Degree Video Coding

Andy Regensky, Fabian Brand, André Kaup

With the increasing efforts of bringing high-quality virtual reality technologies into the market, efficient 360-degree video compression gains in importance. As such, the state-of…

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

Geometry-Corrected Geodesic Motion Modeling with Per-Frame Camera Motion for 360-Degree Video Compression

Andy Regensky, André Kaup

The large amounts of data associated with 360-degree video require highly effective compression techniques for efficient storage and distribution. The development of improved motio…