Sökning: "video förutsägelse"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden video förutsägelse.

1. 1. Prediction Models for TV Case Resolution Times with Machine Learning

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

   Författare :Borja Javierre I Moyano; [2023]
   Nyckelord :Datasets; Machine Learning ML ; Prediction; Resolution Time RT ; Solve Time; TV Cases; Trouble Tickets TT ; Customer-Related Trouble Tickets Resolution Time; CRM system; BI system; Telecommunications; Dataset; Machine Learning ML ; Prediction; Resolution Time; Solve Time; TV Cases; Trouble Tickets TT ; Kundrelaterade problem Tickets Resolution tid; CRM-system; BI-system; Telekommunikationer.;

   Sammanfattning : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. LÄS MER

3. 2. Multimodal Machine Learning in Human Motion Analysis

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

   Författare :Jia Fu; [2022]
   Nyckelord :Multimodal machine learning; Modal fusion; Human motion classification; Multimodal maskininlärning; Modal fusion; Mänsklig rörelseklassificering;

   Sammanfattning : Currently, most long-term human motion classification and prediction tasks are driven by spatio-temporal data of the human trunk. In addition, data with multiple modalities can change idiosyncratically with human motion, such as electromyography (EMG) of specific muscles and respiratory rhythm. LÄS MER

4. 3. Generating lightning bolt videos perceived as real in images using machine learning

   Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Henrik Johansson; [2022]
   Nyckelord :Animated Lightning; Machine learning; Video prediction; image-to-video; Animerade blixtar; maskininlärning; video förutsägelse; bild-till-video;

   Sammanfattning : Background. Weather and weather effects are important features when trying to immerse the viewer into a virtual world. Lightning and thunder is one of those effects when attempting to create rough weather, realistic lightning however requires heavy computations, using physics, weather systems, and knowledge of the 3d world. Objectives. LÄS MER

5. 4. Characterizing Feature Influence and Predicting Video Popularity on YouTube

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

   Författare :Ali Abdihakim; [2021]
   Nyckelord :Viral; popular and trending are interchangeable terms and refers to content that garners hundreds of thousands if not million of views in a short span of time.; Viralt; populärt och trendigt är utbytbara termer och syftar på videor som får hundratusentals om inte miljontals visningar på kort tid.;

   Sammanfattning : YouTube is an online video sharing platform where users can distribute and consume video and other types of content. The rapid technological advancement along with the proliferation och technological gadgets has led to the phenomenon of viral videos where videos and content garner hundreds of thousands if not million of views in a short span of time. LÄS MER

7. 5. Classification of Affective Emotion in Musical Themes : How to understand the emotional content of the soundtracks of the movies?

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

   Författare :Paula Diaz Banet; [2021]
   Nyckelord :Music emotion recognition; Deep learning; Feature extraction; VGGish; Mel-frequency Cepstral Coefficients.; Music emotion recognition; Deep learning; Särdragsextraktion; VGGish; Mel-frequency Cepstral Coefficients;

   Sammanfattning : Music is created by composers to arouse different emotions and feelings in the listener, and in the case of soundtracks, to support the storytelling of scenes. The goal of this project is to seek the best method to evaluate the emotional content of soundtracks. LÄS MER