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Visar resultat 21 - 25 av 298 uppsatser som matchar ovanstående sökkriterier.

  1. 21. IRL to URL: Digitalization in the live music scene during and post-COVID-19 : A platform-driven study of the live music scene and its approaches

    Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Valeria Fernández; Boyana Gerasimova; [2022]
    Nyckelord :Digitalization; COVID-19; Music; Livestreaming; Concerts; Festivals; User Experience; Digital Media;

    Sammanfattning : As the strict lockdowns during the global COVID-19 pandemic made the world more digital, nearly every industry was affected. The music industry in particular had already been going through many changes, though maybe none of them as big so far—musicians were restricted from performing "in real life" and had to think out of the box. LÄS MER

  3. 22. Viewership forecast on a Twitch broadcast : Using machine learning to predict viewers on sponsored Twitch streams

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Jonas Malm; Martin Friberg; [2022]
    Nyckelord :twitch; viewership; prediction; regression; machine learning; XGBoost; streaming; distance metrics; feature selection; cross-validation; feature engineering; pre-processing;

    Sammanfattning : Today, the video game industry is larger than the sports and film industries combined, and the largest streaming platform Twitch with an average of 2.8 million concurrent viewers offers the possibility for gaming and non-gaming brands to market their products. LÄS MER

  4. 23. Offline Reinforcement Learning for Scheduling Live Video Events in Large Enterprises

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Jonathan Franzén; [2022]
    Nyckelord :Reinforcement Learning; Offline Learning; Recommender Systems;

    Sammanfattning : In modern times, live video streaming events in companies has become an increasingly relevantmethod for communications. As a platform provider for these events, being able to deliverrelevant recommendations for event scheduling times to users is an important feature. LÄS MER

  5. 24. Cloud-based video stabilization processing in real-time

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Brecht Callens; [2022]
    Nyckelord :;

    Sammanfattning : On-device real-time video stabilization has become a common feature of modernsmartphones. This processing technique improves quality but is an expensive processthat requires significant resources from the devices themselves. By offloading thisprocess to the cloud, much better hardware could be utilized to perform these tasks. LÄS MER

  7. 25. Improving Recommender Engines for Video Streaming Platforms with RNNs and Multivariate Data

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

    Författare :Daniel Pérez Felipe; [2022]
    Nyckelord :Recurrent neural networks; Recommender systems; Video on demand; Clustering methods; Återkommande neurala nätverk; Rekommendationssystem; Video på begäran; Klustermetoder; Redes neuronales recurrentes; Sistemas de recomendación; Vídeo bajo demanda; Métodos de clustering;

    Sammanfattning : For over 4 years now, there has been a fierce fight for staying ahead in the so-called ”Streaming War”. The Covid-19 pandemic and its consequent confinement only worsened the situation. In such a market where the user is faced with too many streaming video services to choose from, retaining customers becomes a necessary must. LÄS MER