In recent years, a bag with image and video compression formats has been torn. However, most of them are focusedon lossy compression and only marginally support the lossless mode. In this paper, I will focus on lossless formatsand the critical question: "Which one is the&...

Creating manual annotations in a large number of images is a tedious bottleneck that limits deep learning use in many applications. Here, we present a study in which we used the output of a classical image analysis pipelineas labels when training a convolutional n...

Real-time physically based rendering has long been looked at as the holy grail in Computer Graphics. With theintroduction of Nvidia RTX-enabled GPUs family, light transport simulations under real-time constraint startedto look like a reality. This paper presents Lift, an educational f...

Depth-Image-Based Rendering (DIBR) can synthesize a virtual view image from a set of multiview images andcorresponding depth maps. However, this requires an accurate depth map estimation that incurs a high compu-tational cost over several minutes per frame in DERS (MPEG-I’s Depth Estim...

Object tracking is a key task in many applications using video analytics. While there is a huge number of algo-rithms to track objects, there is still a need for new methods to solve the correspondence problem under certaincircumstances. In our article, we assume a ...

The paper describes a method for measuring the similarity and symmetry of an image annotated with boundingboxes indicating image objects. The latter representation became popular recently due to the rapid development offast and efficient deep-learning-based object-detection methods. The proposed appro...

This paper presents a system to determine differences between 3D reconstructed interiors and their corresponding3D planning data with the aim of correcting identified differences and updating the 3D planning data based onthese deviations. Therefore, a point-based comparison algorithm was&...

This paper introduces a remote Photoplethysmography (rPPG), which is used to estimate human heart rate withoutany physical contact, has been extensively applied in multiple fields like medical diagnosis, analysis of humanemotions, rehabilitation training programs, biometric, and fitness assessments. ...

Elevators, a vital means for urban transportation, are generally lacking proper emergency call systems besidesan emergency button. In the case of unconscious or otherwise incapacitated passengers this can lead to lethalsituations. A camera-based surveillance system with AI-based al...

With the ongoing improvement of digital cameras and smartphones, more and more people can acquire high-resolution digital images. Due to their size and high performance requirements, such Gigapixel Images (GPIs) areoften challenging to proces...

The ability to create an accurate three-dimensional reconstruction of a captured scene draws attention to the prin-ciples of light fields. This paper presents an approach for light field camera calibration and rectification, basedon pairwise pattern-based parameters extraction. It is follo...

The world is experiencing an increasing boom in computer vision. This is more and more used in many domainssuch as robotics, medicine, industry, security systems, etc. In this context, Deep Neural Networks (DNNs) havegreat capabilities and are widely used. Convolutional Neural Ne...

Surface reconstruction for particle-based fluid simulation is a computational challenge on par with the simula-tion itself. In real-time applications, splatting-style rendering approaches based on forward rendering of particleimpostors are prevalent, but they suffer from noticeable artifacts.In this paper...

This paper presents a deep convolutional neural network (CNN) based method that automatically segments arc-like structures of coronal loops from the intensity images of Sun’s corona. The method explores multiple U-Netarchitecture variants which enable segmentation of coronal loop structures of&#...

The generation of video content from a small set of data representing the features of objects has very promising application prospects. This is particularly important in the context of the work of the MPEG Video Coding for Machine group, where ...

Nowadays, public bicycle sharing systems have become popular and widespread across the world. Their usefulnesslargely depends on their ability to synchronize with citizens’ usage patterns and optimize re-balancing operationsthat must be carried out to reduce outages. Two crucial factors to ...

The paper deals with efficient compression of immersive video representations for the synthesis of video relatedto virtual viewports, i.e., to selected virtual viewer positions and selected virtual directions of watching. Thegoal is to ...

This paper summarizes the research on the influence of HEVC(High Efficiency Video Coding)configuration on immersive video coding. The research was focused on the newest MPEG standard for immersive video compression –MIV (MPEG Immersive ...

Visual defect detection is a key technology in modern industrial manufacturing systems. There are many possibleappearances of product defects, including distortions in color, shape, contamination, missing or superfluous parts.For the detection of those, besides traditional image processing techniques, conv...

Popularity of MultiplayerOnlineBattle Arena (MOBA)video gameshas grown considerably, its popularity as well as the complexity of their playability, have attracted the attention in recent years of researchers from various areas of knowledge and in particular how they have resorted to different...