Sökning: "Real-time video"

Visar resultat 1 - 5 av 301 uppsatser innehållade orden Real-time video.

  1. 1. Creation of a Virtual Reality Experience for the Virtual Conservation of The Flamman Theater Using Unreal Engine 4

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Fausto Zamora Arias; [2023-10-25]
    Nyckelord :virtual reality; Oculus Quest 2; preserving cultural heritage; Unreal Engine 4; game design and development;

    Sammanfattning : The Flamman Theater identity was successfully digitally preserved for the cultural heritage of Gothenburg by creating a video game, while tested with pandemic restrictions. On the technical side, this project combines virtual reality, artificial intelligence and game mechanics to create an immersive atmosphere, inviting people to watch movies inside as the original theater was intended. LÄS MER

  3. 2. Comparison between Smoothed-Particle Hydrodynamics and Position Based Dynamics for real-time water simulation

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Rasmus Andersson; Erica Tjernell; [2023]
    Nyckelord :Fluid simulation; Lagrangian fluid simulation; Smoothed-Particle Hydronamics; Position Based Dynamics; Vätskesimulering; Lagransk vätskesimulering; Smoothed-Particle Hydronamics; Position Based Dynamics;

    Sammanfattning : Two of the methods common in video game fluid simulation are SmoothedParticle Hydrodynamics (SPH), and Position Based Dynamics (PBD). They are both Lagrangian methods of fluid simulation. SPH has been used for many years in offline simulations and has truthful visuals, but is not as stable as the newer method PBD when using larger timesteps. LÄS MER

  4. 3. A comparative performance analysis of Fast Fourier Transformation and Gerstner waves

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Morgan Westerberg; Oliver Olguin Jönsson; [2023]
    Nyckelord :Water simulation; Procedural methods; Ocean waves; Fast Fourier Transformation; Gerstner waves;

    Sammanfattning : Background:  As time moves on hardware is able to tackle heavier and more complex computations in real-time systems. This means that more realistic and stylistic environments can be computed. One of these environments is the ocean. LÄS MER

  5. 4. Evaluating the use of clock frequency ratio estimators in the playout from video distribution networks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Emil Myresten; [2023]
    Nyckelord :Clock Frequency Ratio Estimator; Real-time Transport Protocol; RTP; Video Distribution Network; Playout Scheduling; Clock Skew; Clock Synchronization; Uppskattning av klockfrekvensratio; Real-time Transport Protocol; RTP; Distributionsnätverk för video; Utspelningsschemaläggare; Klockskevning; Klocksynkronisering;

    Sammanfattning : As traditional TV-broadcasters utilize the Internet to transport video streams, they often employ third party distribution networks to ensure that the Quality of Service of the packet stream remain high. In the last step of such a distribution network, a playout scheduler will schedule the packets so that their intervals are as close as possible to the intervals with which they were initially sent by the source. LÄS MER

  7. 5. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Shihang Zhou; [2023]
    Nyckelord :Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

    Sammanfattning : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. LÄS MER