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07/17/2023
Power-Efficient Video Streaming on Mobile Devices Using Optimal Spatial Scaling
This paper derives optimal spatial scaling and rate control parameters f...
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05/09/2023
Multiscale Augmented Normalizing Flows for Image Compression
Most learning-based image compression methods lack efficiency for high i...
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05/09/2023
Improved Screen Content Coding in VVC Using Soft Context Formation
Screen content images (SCIs) often contain a mix of natural and syntheti...
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04/24/2023
End-to-End Lidar-Camera Self-Calibration for Autonomous Vehicles
Autonomous vehicles are equipped with a multi-modal sensor setup to enab...
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03/11/2023
Deep probabilistic model for lossless scalable point cloud attribute compression
In recent years, several point cloud geometry compression methods that u...
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01/27/2023
Joint Geometry and Attribute Upsampling of Point Clouds Using Frequency-Selective Models with Overlapped Support
With the increasing demand of capturing our environment in three-dimensi...
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12/02/2022
Device Interoperability for Learned Image Compression with Weights and Activations Quantization
Learning-based image compression has improved to a level where it can ou...
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11/30/2022
A data set providing synthetic and real-world fisheye video sequences
In video surveillance as well as automotive applications, so-called fish...
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11/30/2022
A hybrid motion estimation technique for fisheye video sequences based on equisolid re-projection
Capturing large fields of view with only one camera is an important aspe...
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10/14/2022
On Benefits and Challenges of Conditional Interframe Video Coding in Light of Information Theory
The rise of variational autoencoders for image and video compression has...
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09/28/2022
Synthesizing Annotated Image and Video Data Using a Rendering-Based Pipeline for Improved License Plate Recognition
An insufficient number of training samples is a common problem in neural...
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09/28/2022
Increasing the Accuracy of a Neural Network Using Frequency Selective Mesh-to-Grid Resampling
Neural networks are widely used for almost any task of recognizing image...
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09/27/2022
3D Rendering Framework for Data Augmentation in Optical Character Recognition
In this paper, we propose a data augmentation framework for Optical Char...
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07/04/2022
Reusing the H.264/AVC deblocking filter for efficient spatio-temporal prediction in video coding
The prediction step is a very important part of hybrid video codecs for ...
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07/01/2022
Motion Compensated Frequency Selective Extrapolation for Error Concealment in Video Coding
Although wireless and IP-based access to video content gives a new degre...
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05/23/2022
Scalable Kernel-Based Minimum Mean Square Error Estimator for Accelerated Image Error Concealment
Error concealment is of great importance for block-based video systems, ...
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05/23/2022
Denoising-based image reconstruction from pixels located at non-integer positions
Digital images are commonly represented as regular 2D arrays, so pixels ...
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05/20/2022
Reliability-based Mesh-to-Grid Image Reconstruction
This paper presents a novel method for the reconstruction of images from...
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05/16/2022
Frequency selective extrapolation with residual filtering for image error concealment
The purpose of signal extrapolation is to estimate unknown signal parts ...
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05/03/2022
Frequency-Selective Geometry Upsampling of Point Clouds
The demand for high-resolution point clouds has increased throughout the...
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04/07/2022
Declipping of Speech Signals Using Frequency Selective Extrapolation
The reconstruction of clipped speech signals is an important task in aud...
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04/02/2022
RFVTM: A Recovery and Filtering Vertex Trichotomy Matching for Remote Sensing Image Registration
Reliable feature point matching is a vital yet challenging process in fe...
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03/17/2022
Novel Consistency Check For Fast Recursive Reconstruction Of Non-Regularly Sampled Video Data
Quarter sampling is a novel sensor design that allows for an acquisition...
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03/17/2022
A Novel End-To-End Network for Reconstruction of Non-Regularly Sampled Image Data Using Locally Fully Connected Layers
Quarter sampling and three-quarter sampling are novel sensor concepts th...
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03/11/2022
Saliency-Driven Versatile Video Coding for Neural Object Detection
Saliency-driven image and video coding for humans has gained importance ...
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03/11/2022
Video Coding for Machines with Feature-Based Rate-Distortion Optimization
Common state-of-the-art video codecs are optimized to deliver a low bitr...
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02/28/2022
A Novel Viewport-Adaptive Motion Compensation Technique for Fisheye Video
Although fisheye cameras are in high demand in many application areas du...
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02/07/2022
Motion-Plane-Adaptive Inter Prediction in 360-Degree Video Coding
Inter prediction is one of the key technologies enabling the high compre...
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01/05/2022
Learning True Rate-Distortion-Optimization for End-To-End Image Compression
Even though rate-distortion optimization is a crucial part of traditiona...
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12/15/2021
Generalized Difference Coder: A Novel Conditional Autoencoder Structure for Video Compression
Motion compensated inter prediction is a common component of all video c...
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11/17/2021
Image Super-Resolution Using T-Tetromino Pixels
For modern high-resolution imaging sensors, pixel binning is performed i...
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09/17/2018
Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data
Capturing ground truth data to benchmark super-resolution (SR) is challe...
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02/08/2018
Online Decomposition of Compressive Streaming Data Using n-ℓ_1 Cluster-Weighted Minimization
We consider a decomposition method for compressive streaming data in the...
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10/25/2017
Compressive Online Robust Principal Component Analysis with Optical Flow for Video Foreground-Background Separation
In the context of online Robust Principle Component Analysis (RPCA) for ...
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09/08/2017
Benchmarking Super-Resolution Algorithms on Real Data
Over the past decades, various super-resolution (SR) techniques have bee...
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01/24/2017
Incorporating Prior Information in Compressive Online Robust Principal Component Analysis
We consider an online version of the robust Principle Component Analysis...
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05/22/2016
