Redžúr
type: channel
description: Call for Papers We cordially invite you to the 18th International Workshop on Multimedia and Signal Processing, Redžúr 2026, which will be organized at the Faculty of Electrical Engineering and Information Technology of the Slovak University of Technology in Bratislava. Important Deadlines Paper Submission: 16 April 2026 Notification of Acceptance: 30 April 2026 Conference Day: 14 May 2026 More detailed information in full → Call for Papers For any inquiries please contact us by email redzur@stuba.sk About the Conference Redžúr is an international workshop on multimedia information and communication technologies. Throughout its history, Redžúr has evolved from a narrow-focused workshop on signal processing into an international meetup of researchers in wide spread of fields covering signal and multimedia creation, processing and transmission across various media and underlying infrastructure. Redžúr brings together researchers and developers from both academia and industry to report on the latest scientific and theoretical advances, to discuss and debate major issues and to demonstrate state-of-the-art systems.
publisher: Spectrum STU
language: en
publication name: Redžúr
items: A Web Portal for Managing Educational Resources
items: Applying LLMs to Enhance Education
items: Utilization of Large Language Models in the Educational Process
items: Application for Effective Memorization of Learning Material
items: Design and Implementation of a Personalized AI Tutor for University Education Using RAG
items: Student portal with AI assistant
items: Maximizing a Nonlinear Function using Evolutionary Strategies and Parameter Tuning
items: Data Classification using the Random Forest Method
items: Classification of Written Numbers using 2D Convolutional Neural Network
items: Media Storage in the Context of Trusted Services
items: Web application for hybrid communication integration
items: Videoconferencing Systems in Virtual Environment
items: Advanced Videoconference Technologies for Hybrid Communications
items: Videoconferencing system in virtual environment
items: Metaverse communication system
items: Prototype of a Hybrid Communication System: Bridging VR and Video Conferencing
items: Advanced video conferencing application
items: Application for advanced video conferencing in 3D space
items: Evaluation of Camera Topologies on Output Quality in Gaussian Splatting
items: Examination of Minimal Camera Setups for Volumetric Video Capturing from a Time Perspective
items: Virtual Tour Using Gaussian Splatting
items: Angular Limits of Image Samples for Novel View Synthesis
items: 3D Scene Reconstruction Using Instant-NGP
items: Novel View Synthesis with limited number of cameras

A Web Portal for Managing Educational Resources
type: item
description: This paper presents the design and implementation of a centralized web portal for study materials management that addresses the challenges of digital transformation in education. Traditional methods of distributing educational materials suffer from fragmentation, limited organization capabilities, and accessibility issues. Our solution offers a hierarchical folder structure, robust user role management, and specialized viewing capabilities for various file formats. Built on Spring Boot with a layered MVC architecture, the system supports multiple file formats (PDF, video, ZIP) and provides role-based access control. User testing confirms improved accessibility and organization of study materials compared to existing solutions. The system effectively balances administrative flexibility with user accessibility, creating an efficient and centralized platform for educational content management without the complexity of full learning management systems.
subject: Articles
  topic: section
subject: Study Materials Portal
  topic: keywords
subject: Spring Boot
  topic: keywords
subject: Web Application
  topic: keywords
subject: File Management
  topic: keywords
subject: User Roles
  topic: keywords
subject: Web Development
  topic: keywords
creator: Daniil Honcharenko
creator: Radoslav Vargic
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 115
ending page: 118

Applying LLMs to Enhance Education
type: item
description: This paper presents a practical approach to integrating Large Language Models (LLMs) into the educational process through a custom web application. The solution leverages LangChain to enable semantic search over both structured and unstructured educational content. The system is designed to provide educators with tools for uploading and managing materials, while allowing learners to receive accurate, context-aware answers generated by LLMs. We describe the use of Retrieval-Augmented Generation (RAG) to improve response relevance and outline the implementation strategy, including the use of vector databases, prompt design, and user interface considerations.
subject: Articles
  topic: section
subject: Large Language Model
  topic: keywords
subject: LangChain
  topic: keywords
subject: Education
  topic: keywords
subject: RAG
  topic: keywords
creator: Mariia-Anastasiia Savko
creator: Marek Vančo
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 111
ending page: 114

Utilization of Large Language Models in the Educational Process
type: item
description: This paper addresses the potential of Large Language Models (LLMs) to support students in the educational process by providing personalized assistance, explanations, and examples. LLMs are used by many students, but they often lack up-to-date information or specific knowledge on the subjects they need. This paper looks at how using Retrieval-Augmented Generation (RAG) can help by linking language models to external sources of information so answers can be more accurate and relevant. The proposed solution is implemented using the LangChain framework, which simplifies integration with vector databases, embedding models, and custom prompt workflows. The system is designed as a modular architecture with specialized agents that respond to different types of student queries. This approach demonstrates how LLMs can be enhanced to better learning experience.
subject: Articles
  topic: section
subject: LLM
  topic: keywords
subject: LangChain
  topic: keywords
subject: RAG
  topic: keywords
subject: Agents
  topic: keywords
subject: Educational
  topic: keywords
creator: Kyrylo Masaltsev
creator: Marek Vančo
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 107
ending page: 110

Application for Effective Memorization of Learning Material
type: item
description: In this paper, the development of a web-based application designed for effective memorization of learning material using flashcards is presented. The study addresses the problem of knowledge retention and memory decay, referencing the widely recognized Ebbinghaus forgetting curve. A comparative analysis of existing spaced repetition algorithms and applications was conducted, including manual spaced repetition systems, absolute, relative, memory-model-based, and neural network-based approaches. Based on the findings, a suitable algorithm was selected and implemented within the application to optimize the learning process. Additionally, the paper explores modern approaches to automatic flashcard generation from text using large language models (LLMs). The proposed solution integrates AI-based generation as an optional feature, allowing users to create personalized flashcards from arbitrary text content.
subject: Articles
  topic: section
subject: Effective Learning
  topic: keywords
subject: Spaced Repetition
  topic: keywords
subject: Application
  topic: keywords
creator: Ihor Rohatiuk
creator: Radoslav Vargic
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 103
ending page: 106

Design and Implementation of a Personalized AI Tutor for University Education Using RAG
type: item
description: This paper presents the design and implementation of an AI-based educational assistant aimed at supporting university students in their learning process. The system utilizes Retrieval- Augmented Generation (RAG) [1] to provide personalized guidance and encourage active learning through questions and exploration rather than supplying direct answers. Technical implementation focuses on a dynamic chat interface combining modern AI models [2], vector databases for retrieval, and advanced prompt engineering strategies. Preliminary observations based on simulated interactions suggest that the tutoring approach encourages deeper engagement and critical reasoning. This aligns with findings from prior research indicating that AI systems promoting active student reflection can lead to improved learning outcomes compared to direct-answer systems [6], [7]. Future improvements aim to include features such as knowledge gap identification, adaptation to the student's current understanding level, and curriculum-aware guidance.
subject: Articles
  topic: section
subject: AI tutor
  topic: keywords
subject: RAG
  topic: keywords
subject: personalized education
  topic: keywords
subject: interactive learning
  topic: keywords
subject: knowledge retrieval
  topic: keywords
creator: Diana Ryzhkova
creator: Gregor Rozinaj
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 99
ending page: 102

Student portal with AI assistant
type: item
description: This article explores the design and development of a modular web application – a student portal enhanced with an artificial intelligence (AI) assistant based on the Retrieval-Augmented Generation (RAG) approach. The system aims to provide students with a centralized platform for accessing study-related information and receiving contextual assistance through AI. The solution includes role management, ensuring that features are accessible according to role permissions (e.g., student, professor, administrator). The modular architecture ensures flexibility, scalability and the potential for future enhancements.
subject: Articles
  topic: section
subject: AI
  topic: keywords
subject: LLM
  topic: keywords
subject: RAG
  topic: keywords
subject: Assistant
  topic: keywords
subject: Portal
  topic: keywords
subject: Education
  topic: keywords
subject: LangChain
  topic: keywords
subject: Vector database
  topic: keywords
creator: Martin Petkeš
creator: Radoslav Vargic
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 95
ending page: 98

Maximizing a Nonlinear Function using Evolutionary Strategies and Parameter Tuning
type: item
description: Maximization and minimization of functions are problems that occur in most scientific fields. There are several methods for solving them and one such method is the evo- lutionary strategy algorithm, which is an algorithm inspired by the biological theory of evolution. The algorithm works with a set of candidate solutions, and in each iteration, these solutions are crossed and mutated to create new ones. The newly created solutions are then evaluated and the best solutions are moved to the next iteration. This process is repeated until the optimal solution is found or another terminating condition occurs. In this paper, we implemented such an algorithm and used it to maximize the chosen function. We also found the best combination of parameters for which the algorithm gives the best result.
subject: Articles
  topic: section
subject: evolution strategy
  topic: keywords
subject: maximization
  topic: keywords
subject: optimization
  topic: keywords
creator: Klára Murínová
creator: Michal Čopjan
creator: Kvetoslava Kotuliaková
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 89
ending page: 94

Data Classification using the Random Forest Method
type: item
description: This paper focuses on the problem of data clas- sification using decision trees and Random Forests. The theoretical background of de- cision trees, entropy and information gain as the basic principles of classification is described. Sub- sequently, a custom decision tree-based classifier is implemented as well as an ensemble Random For- est model that improves robustness and accuracy through bagging. The task of the models was to predict the ticket price category based on various attributes. The results are evaluated using accu- racy and confusion matrices, with Random Forest demonstrating higher classification accuracy com- pared to the standalone decision tree.
subject: Articles
  topic: section
subject: data classification
  topic: keywords
subject: random forest
  topic: keywords
subject: machine learning
  topic: keywords
subject: decision trees
  topic: keywords
creator: Lukáš Patrnčiak
creator: Andrej Tomčík
creator: Kvetoslava Kotuliaková
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 83
ending page: 88

Classification of Written Numbers using 2D Convolutional Neural Network
type: item
description: This article introduces a configurable system for building CNNs designed for grayscale image classification. The network architecture and training settings are defined via a JSON file, allowing full control over the layers and parameters without modifying the code. The system was tested on MNIST dataset using two CNN configurations to classify handwritten numbers. Both achieved satisfactory accuracy. The modular design makes it suitable for rapid prototyping and experimentation in computer vision applications.
subject: Articles
  topic: section
subject: neural networks
  topic: keywords
subject: convolutional neural networks
  topic: keywords
subject: machine learning
  topic: keywords
subject: image recognition
  topic: keywords
subject: handwritten digits
  topic: keywords
subject: parameter tuning
  topic: keywords
creator: Matúš Ďurovič
creator: Matúš Vaňo
creator: Juraj Kačur
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 77
ending page: 82

Media Storage in the Context of Trusted Services
type: item
description: This paper addresses the challenges and solutions of electronic archiving within the context of trusted services as defined by European legislation, particularly the eIDAS regulation. The work outlines the theoretical background of digital preservation, including signature formats, data integrity protocols, and archival models defined by ETSI. A hybrid archiving service is proposed and implemented, integrating MinIO object storage and PostgreSQL metadata management. The modular system is designed for long-term accessibility, document integrity, and regulatory compliance. Test scenarios confirm the system’s effectiveness in handling preservation operations and data retrieval. The paper also presents real implementation details and evaluates the proposed architecture's strengths and limitations in comparison with existing solutions.
subject: Articles
  topic: section
subject: electronic archiving
  topic: keywords
subject: trusted services
  topic: keywords
subject: eIDAS
  topic: keywords
subject: digital signature
  topic: keywords
subject: long-term preservation
  topic: keywords
creator: Barbora Duffalová
creator: Marek Vančo
creator: Juraj Hájek
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 73
ending page: 76

Web application for hybrid communication integration
type: item
description: In my thesis I will cover research and development process of creating web application with hybrid communication
subject: Articles
  topic: section
subject: Mediasoup
  topic: keywords
subject: Hybrid Communication
  topic: keywords
subject: SFU
  topic: keywords
creator: Mykhailo Vasko
creator: Gregor Rozinaj
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 69
ending page: 72

Videoconferencing Systems in Virtual Environment
type: item
description: This research paper describes various challenges, that appear during development of the web videoconferencing systems in virtual environment, and what approaches could be used to cope with those problems. What are the possible ways of representing the virtual environment, how can the interaction and communication among users be constructed and what up-to-date technologies could be used in the development.
subject: Articles
  topic: section
subject: Communication
  topic: keywords
subject: Interaction
  topic: keywords
subject: Environment
  topic: keywords
subject: Model
  topic: keywords
subject: Gaussian Splatting
  topic: keywords
subject: Websocket
  topic: keywords
subject: Mediastream
  topic: keywords
creator: Bohdan Zdorovets
creator: Gregor Rozinaj
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 65
ending page: 68

Advanced Videoconference Technologies for Hybrid Communications
type: item
description: This paper presents an innovative system for intelligent PTZ (pan-tilt-zoom) camera control integrated into a videoconferencing platform. The system leverages advanced face tracking algorithms, real-time communication protocols, and dynamic parameter adaptation to deliver a highly responsive and interactive solution. In addition to automated camera adjustment based on face detection, the system provides remote control capabilities that enable participants to steer the camera upon user consent. This modular approach supports hybrid communication environments and introduces virtual teleportation functionalities, allowing remote users to dynamically explore meeting spaces as if they were physically present.
subject: Articles
  topic: section
subject: PTZ camera control
  topic: keywords
subject: face tracking
  topic: keywords
subject: videoconferencing
  topic: keywords
subject: hybrid communication
  topic: keywords
subject: real-time processing
  topic: keywords
subject: remote control.
  topic: keywords
creator: Stanislav Šidla
creator: Gregor Rozinaj
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 61
ending page: 64

Videoconferencing system in virtual environment
type: item
description: This work presents an immersive videoconferencing system based on WebSocket technology and Splat model rendering.The proposed solution enables real-time video communication integrated within a dynamic virtual environment with first-person navigation. Unlike traditional platforms, it offers high responsiveness, low hardware requirements, and greater accessibility, bridging the gap between conventional videoconferencing and full VR immersion.
subject: Articles
  topic: section
subject: VR
  topic: keywords
subject: Splat
  topic: keywords
creator: Elvira Toleutay
creator: Gregor Rozinaj
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 57
ending page: 60

Metaverse communication system
type: item
description: This bachelor thesis focuses on the development of virtual meeting rooms an d collaborative educational spaces using the FrameVR platform. FrameVR enables web-based creation, navigation, and interaction in immersive 3D environments. Unlike static 2D platforms, FrameVR supports live communication, media presentation, and modeling capabilities in real-time. A key part of this project was evaluating the potential of integrating interactive 3D modeling directly within FrameVR, alongside leveraging Gaussian Splatting for advanced visualization. The result is a set of interactive virtual classrooms and meeting rooms where students can communicate, collaborate, and co-create content inside a shared virtual world.
subject: Articles
  topic: section
subject: FrameVR
  topic: keywords
subject: Virtual Classrooms
  topic: keywords
subject: Educational Videoconferencing
  topic: keywords
subject: Gaussian Splatting
  topic: keywords
creator: Jakub Tury
creator: Marek Vančo
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 53
ending page: 56

Prototype of a Hybrid Communication System: Bridging VR and Video Conferencing
type: item
description: The Metaverse and immersive technologies related to it open up new possibilities for remote communication and collaboration, but often create a barrier between users in virtual reality (VR) and those using traditional video conferencing tools. This work presents the design and implementation of a prototype hybrid communication system that addresses this problem by creating a bidirectional visual bridge. The system, developed in the Unity engine, allows users in VR to see participants of a standard video call on virtual panels, and conversely, video call participants see the view from the VR scene. It utilizes a combination of the Mirror library for synchronizing the state of the multiplayer VR scene and the Agora RTC SDK for real-time audio and video transmission between VR and non-VR clients, including sending custom video and audio sources from Unity. The result is a prototype demonstrating the technical feasibility of the proposed approach towards more flexible hybrid communication.
subject: Articles
  topic: section
subject: Metaverse
  topic: keywords
subject: virtual reality
  topic: keywords
subject: video conferencing
  topic: keywords
subject: Unity Engine
  topic: keywords
subject: Agora RTC
  topic: keywords
creator: Marek Ďurica
creator: Marek Vančo
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 49
ending page: 52

Advanced video conferencing application
type: item
description: This document presents the development of an advanced video conferencing application that integrates unique functionalities not commonly available in current mainstream systems such as Zoom or Google Meet. The application enables multi-camera support, dynamic camera manipulation, role-based access control, real-time chat features, and conference customization. Built with Jitsi and WebRTC protocols, the system ensures secure and scalable video communication. The backend and frontend are combined in a single repository, and the application is containerized using Docker for easy deployment.(Abstract)
subject: Articles
  topic: section
subject: Video conferencing
  topic: keywords
subject: Codec
  topic: keywords
subject: WebRTC
  topic: keywords
subject: Jitsi
  topic: keywords
subject: Real-time communication
  topic: keywords
subject: Docker
  topic: keywords
subject: Multi-camera support
  topic: keywords
subject: Role-based access
  topic: keywords
creator: Nikita Orlov
creator: Radoslav Vargic
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 45
ending page: 48

Application for advanced video conferencing in 3D space
type: item
description: This paper presents a novel approach to video conferencing by introducing immersive 3D environments that extend communication beyond traditional 2D interfaces. In response to the limitations of traditional platforms, we propose a browser-based solution that combines spatial visualisation with real-time video streaming. The system uses Gaussian Splatting and Three.js to render realistic 3D environments, and integrates the Agora SDK for efficient video communication. Our architecture uses React.js for the frontend, Quarkus for the backend, and a MySQL database for user management. Through iterative prototyping and validation, we have demonstrated that this approach significantly improves user engagement and presence without requiring specialised hardware. The solution combines the accessibility of a web-based application with the immersive qualities of a 3D environment, addressing a critical gap in today's video conferencing technologies.
subject: Articles
  topic: section
subject: Video conferencing
  topic: keywords
subject: 3D environments
  topic: keywords
subject: Gaussian Splatting
  topic: keywords
subject: Three.js
  topic: keywords
subject: Real-time communication
  topic: keywords
subject: React.js
  topic: keywords
subject: Quarkus
  topic: keywords
creator: Maksym Alieksieienko
creator: Radoslav Vargic
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 41
ending page: 44

Evaluation of Camera Topologies on Output Quality in Gaussian Splatting
type: item
description: Digital life has become an everyday reality, and life without it is almost unimaginable. Digitalization has significantly advanced humanity, improving quality of life, extending lifespans through medical innovations, and offering entertainment such as watching films or playing video games. This paper examines the digitalization of physical objects and environments, using various photo-based algorithms and digital model creation software.
subject: Articles
  topic: section
subject: Gaussian Splatting
  topic: keywords
subject: PSNR
  topic: keywords
subject: Camera topology
  topic: keywords
creator: Florián Jurík
creator: Marek Vančo
creator: Šimon Tibenský
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 33
ending page: 36

Examination of Minimal Camera Setups for Volumetric Video Capturing from a Time Perspective
type: item
description: This study examines the impact of camera count on training time and quality in volumetric video capture using 3D Gaussian Splatting. Two datasets were processed with varying camera numbers, testing two reduction strategies: removing cameras from the center or edges. Results show that 14 cameras offer an optimal balance, reducing training time by up to 32 hours per minute of video (30 fps) with minimal quality loss, while fewer cameras cause significant artifacts. Edge removal proved more efficient, minimizing computational errors.
subject: Articles
  topic: section
subject: Gaussian Splatting
  topic: keywords
subject: Volumetric video
  topic: keywords
subject: Time of training
  topic: keywords
subject: Quality Assessment
  topic: keywords
creator: Marek Magala
creator: Ivan Minárik
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 37
ending page: 40

Virtual Tour Using Gaussian Splatting
type: item
description: This bachelor thesis includes the creation of an immersive tour and the creation of the most accurate copy of the school as a 3D model in which the user will be able to move freely, interact with the objects and especially to allow foreign students to visit the corridors of the faculty FEI STU in this way. To create the 3D model, I will use the technology "Gaussian splatting", which is designed to create 3D representations of objects and spaces from 2D data to 3D objects. Thanks to this technology we can create one or more 3D models from a number of images. I will use the program "Jawset, Postshot"[1] to process the data consisting of images of the school premises. I will also use the game development program "Unreal engine" in my research, which has direct compatibility with the 3D models created in "Jawset, Postshot"[2]. This compatibility will make the creation and thorough finalization of the project possible and much easier.
subject: Articles
  topic: section
subject: Gaussian splatting
  topic: keywords
subject: Virtual navigation
  topic: keywords
subject: 2D‑to‑3D data processing
  topic: keywords
subject: Digital twin
  topic: keywords
subject: object
  topic: keywords
creator: Samuel Lančarič
creator: Marek Vančo
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 29
ending page: 32

Angular Limits of Image Samples for Novel View Synthesis
type: item
description: Novel view synthesis (NVS) is a technology that aims to generate new views of a scene from a limited set of images, enabling rendering from unseen perspectives. This thesis explores the development of NVS and tests the capabilities of NVS to create a middle view of a human face with increasingly more difficult sets of images to create the view from. A novel method is proposed to improve visual quality and efficiency, addressing challenges in reconstruction and view consistency. The results demonstrate the potential of the approach for applications in virtual reality, telepresence, and immersive media, contributing to the development of realistic scene generation.
subject: Articles
  topic: section
subject: Novel view synthesis
  topic: keywords
subject: Triangulation
  topic: keywords
subject: Sample
  topic: keywords
subject: Image blending
  topic: keywords
subject: Image morphing
  topic: keywords
creator: Matej Benža
creator: Juraj Cáfal
creator: Jaroslav Venjarski
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 23
ending page: 28

3D Scene Reconstruction Using Instant-NGP
type: item
description: Instant Neural Graphics Primitives (instant- ngp) technology enables the rapid reconstruction of 3D scenes from 2D images. This paper provides a prac- tical guide to the installation, configuration, and exe- cution of the instant-NGP tool, focusing on processing video inputs using the colmap2nerf.py script and the main instant-ngp.exe application. The primary contribution of this work is an experimental analysis of the impact of key data preparation parameters – video frame rate (-video_fps) and scene bounding box size (-aabb_scale) – on processing speed and the final vi- sual quality of the 3D reconstruction. The results offer recommendations for the optimal setting of these param- eters depending on the nature of the input video and the desired output.
subject: Articles
  topic: section
subject: NeRF
  topic: keywords
subject: instant-NGP
  topic: keywords
subject: 3D scene reconstruction
  topic: keywords
subject: novel view synthesis
  topic: keywords
subject: multi-resolution hash encoding
  topic: keywords
subject: CUDA
  topic: keywords
subject: GPU
  topic: keywords
subject: COLMAP
  topic: keywords
subject: parameter configuration
  topic: keywords
creator: Michal Ivan Basoš
creator: Matej Hromada
creator: Jaroslav Venjarski
rights: Copyright (c) 2025 Redžúr
date: 2025-05-22
publication date: 2025-05-22
starting page: 19
ending page: 22

Novel View Synthesis with limited number of cameras
type: item
description: This article focuses on synthesize new views from a limited number of cameras, typically 2 to 4, using advanced image fusion and perspective transformation techniques. Furthermore, this work studies current methods of view synthesis in order to identify their strengths and weaknesses in the context of a limited number of input cameras. The main goal was to propose an algorithm that will be optimized for efficient fusion of views from a small number of cameras, while emphasizing the quality of the resulting images, the speed of processing, and the scalability of the solution. The proposed algorithm was then compared with another existing method, that solves the mentioned problem. The conclusion consists of evaluating the results of each method and describing their strengths and weaknesses.
subject: Articles
  topic: section
subject: Novel View Synthesis
  topic: keywords
subject: Computer Vision
  topic: keywords
subject: Depth Map
  topic: keywords
subject: Gaussian Splatting
  topic: keywords
creator: Vladimír Hlačina
creator: Gregor Rozinaj
rights: Copyright (c) 2025
date: 2025-05-22
publication date: 2025-05-22
starting page: 13
ending page: 18