Sökning: "Strömmande media"
Visar resultat 1 - 5 av 20 uppsatser innehållade orden Strömmande media.
1. Performance Considerations for the Deployment of Video Streaming Pipelines Using Containers
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Cloud-based video processing is an area depending heavily on the hardware’s ability to process huge amounts of packets. Nowadays, we can observe industry drifting away from commonly used FPGAs in lieu of a more flexible software approach. LÄS MER
2. Detecting Unsynchronized Audio and Subtitles using Machine Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Unsynchronized audio and subtitle files are common within streaming media. As subtitles often are an essential part of the viewing experience, this can have large consequences, possibly making the content inaccessible. LÄS MER
3. User-Based Predictive Caching of Streaming Media
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Streaming media is a growing market all over the world which sets astrict requirement on mobile connectivity. The foundation for a gooduser experience when supplying a streaming media service on a mobiledevice is to ensure that the user can access the requested content. LÄS MER
4. User-Based Predictive Caching of Streaming Media
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : Streaming media is a growing market all over the world which sets a strict requirement on mobile connectivity. The foundation for a good user experience when supplying a streaming media service on a mobile device is to ensure that the user can access the requested content. LÄS MER
5. Detecting fraudulent users using behaviour analysis
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the increased global use of online media platforms, there are more opportunities than ever to misuse those platforms or perpetrate fraud. One such fraud is within the music industry, where perpetrators create automated programs, streaming songs to generate revenue or increase popularity of an artist. LÄS MER