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Found 48 papers, 3 papers with code
Predicting the Energy Demand of a Hardware Video Decoder with Unknown Design Using Software Profiling
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
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.
Encoding Time and Energy Model for SVT-AV1 based on Video Complexity
We propose an encoding time and energy model for SVT-AV1 based on empirical relations between the encoding time and video parameters as well as encoder configurations.
Extended Signaling Methods for Reduced Video Decoder Power Consumption Using Green Metadata
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.
Improving HEVC Encoding of Rendered Video Data Using True Motion Information
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.
On Versatile Video Coding at UHD with Machine-Learning-Based Super-Resolution
Coding 4K data has become of vital interest in recent years, since the amount of 4K data is significantly increasing.
Video Decoding Energy Estimation Using Processor Events
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.
Power Modeling for Virtual Reality Video Playback Applications
This paper proposes a method to evaluate and model the power consumption of modern virtual reality playback and streaming applications on smartphones.
Power-Efficient Video Streaming on Mobile Devices Using Optimal Spatial Scaling
This paper derives optimal spatial scaling and rate control parameters for power-efficient wireless video streaming on portable devices.
Efficient coding of 360° videos exploiting inactive regions in projection formats
This paper presents an efficient method for encoding common projection formats in 360$^\circ$ video coding, in which we exploit inactive regions.
Component-wise Power Estimation of Electrical Devices Using Thermal Imaging
This paper presents a novel method to estimate the power consumption of distinct active components on an electronic carrier board by using thermal imaging.
Encoder Complexity Control in SVT-AV1 by Speed-Adaptive Preset Switching
Current developments in video encoding technology lead to continuously improving compression performance but at the expense of increasingly higher computational demands.
Processing Energy Modeling for Neural Network Based Image Compression
Nowadays, the compression performance of neural-networkbased image compression algorithms outperforms state-of-the-art compression approaches such as JPEG or HEIC-based image compression.
Motion Plane Adaptive Motion Modeling for Spherical Video Coding in H.266/VVC
Motion compensation is one of the key technologies enabling the high compression efficiency of modern video coding standards.
Video Decoding Energy Reduction Using Temporal-Domain Filtering
In this paper, we study decoding energy reduction opportunities using temporal-domain filtering and subsampling methods.
Power Reduction Opportunities on End-User Devices in Quality-Steady Video Streaming
We find that based on the power consumption of the streaming sessions from the crowdsourcing dataset, devices could save more than 55% of power if all participants adhere to low-power settings.
The Bjøntegaard Bible -- Why your Way of Comparing Video Codecs May Be Wrong
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.
Learning Frequency-Specific Quantization Scaling in VVC for Standard-Compliant Task-driven Image Coding
This is a well-known method for the human visual system, where scaling lists are derived from psycho-visual models.
A Bit Stream Feature-Based Energy Estimator for HEVC Software Encoding
To this end, this paper presents an energy estimator that uses a subset of bit stream features to accurately estimate the energy consumption of the HEVC software encoding process.
3-D mesh compensated wavelet lifting for 3-D+t medical CT data
We show that a 3-D mesh can obtain a higher quality of the lowpass band by 0. 28 dB with less than 40% of the model parameters of a comparable 2-D mesh.
Modeling of Energy Consumption and Streaming Video QoE using a Crowdsourcing Dataset
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
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.
Extending Video Decoding Energy Models for 360° and HDR Video Formats in HEVC
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.
Matched Quality Evaluation of Temporally Downsampled Videos with Non-Integer Factors
Recent research has shown that temporal downsampling of high-frame-rate sequences can be exploited to improve the rate-distortion performance in video coding.
A Comparative Analysis of the Time and Energy Demand of Versatile Video Coding and High Efficiency Video Coding Reference Decoders
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.
Decoding Energy Modeling For Versatile Video Coding
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
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.
Modeling the HEVC Encoding Energy Using the Encoder Processing Time
The global significance of energy consumption of video communication renders research on the energy need of video coding an important task.
Optimized Decoding-Energy-Aware Encoding in Practical VVC Implementations
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.
Rate-Distortion Optimal Transform Coefficient Selection for Unoccupied Regions in Video-Based Point Cloud Compression
These savings are more than twice as high as savings obtained using competing methods from literature.
Robust Deep Neural Object Detection and Segmentation for Automotive Driving Scenario with Compressed Image Data
Deep neural object detection or segmentation networks are commonly trained with pristine, uncompressed data.
Analysis of Neural Image Compression Networks for Machine-to-Machine Communication
Video and image coding for machines (VCM) is an emerging field that aims to develop compression methods resulting in optimal bitstreams when the decoded frames are analyzed by a neural network.
A Bitstream Feature Based Model for Video Decoding Energy Estimation
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.
On Intra Video Coding and In-loop Filtering for Neural Object Detection Networks
Classical video coding for satisfying humans as the final user is a widely investigated field of studies for visual content, and common video codecs are all optimized for the human visual system (HVS).
Video Coding for Machines with Feature-Based Rate-Distortion Optimization
In this paper, we propose a standard-compliant feature-based RDO (FRDO) that is designed to increase the coding performance, when the decoded frame is analyzed by a neural network in a video coding for machine scenario.
Multi-Objective Design Space Exploration for the Optimization of the HEVC Mode Decision Process
Finding the best possible encoding decisions for compressing a video sequence is a highly complex problem.
Modeling the Energy Consumption of HEVC Intra Decoding
Battery life is one of the major limitations to mobile device use, which makes research on energy efficient soft- and hardware an important task.
Estimation of Non-Functional Properties for Embedded Hardware with Application to Image Processing
In recent years, due to a higher demand for portable devices, which provide restricted amounts of processing capacity and battery power, the need for energy and time efficient hard- and software solutions has increased.
Joint Optimization of Rate, Distortion, and Decoding Energy for HEVC Intraframe Coding
This paper presents a novel algorithm that aims at minimizing the required decoding energy by exploiting a general energy model for HEVC-decoder solutions.
Decoding-Energy-Rate-Distortion Optimization for Video Coding
Finally, measurements of the software decoding process for HEVC-coded bit streams are performed.
Modeling the Energy Consumption of the HEVC Decoding Process
To show the modeling capabilities in general, we test the estimation performance for different decoding software and hardware solutions, where we find that the proposed model outperforms the models from literature by reaching frame-wise mean estimation errors of less than 7% for software and less than 15% for hardware based systems.
A Novel Viewport-Adaptive Motion Compensation Technique for Fisheye Video
However, the approach does not consider the large field of view of fisheye lenses that requires the consideration of different motion planes in 3D space.
Beyond Bjøntegaard: Limits of Video Compression Performance Comparisons
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".
A Low-Parametric Model for Bit-Rate Estimation of VVC Residual Coding
There are many tasks within video compression which require fast bit rate estimation.
Motion-Plane-Adaptive Inter Prediction in 360-Degree Video Coding
Based on the known projection format of the video, MPA allows to perform inter prediction on different motion planes in 3D space instead of having to work on the - in theory arbitrarily mapped - 2D image representation directly.
Energy Efficient Video Decoding for VVC Using a Greedy Strategy Based Design Space Exploration
IP traffic has increased significantly in recent years, and it is expected that this progress will continue.
