Sökning: "Video Quality Prediction."
Visar resultat 1 - 5 av 34 uppsatser innehållade orden Video Quality Prediction..
1. Fog detection using an artificial neural network
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. LÄS MER
2. Online Sample Selection for Resource Constrained Networked Systems
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : As more devices with different service requirements become connected to networked systems, such as Internet of Things (IoT) devices, maintaining quality of service becomes increasingly difficult. Large data sets can be obtained ahead of time in networks to train prediction models offline, however, resulting in high computational costs. LÄS MER
3. Autonomous Patient Monitoring in the Intermediate Care Unit by Live Video Analysis
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Patients admitted to intermediate care units require frequent monitoring by hospital personnel. An automatisation of this monitoring would save a considerable amount of resources and could also improve the quality of the treatment. LÄS MER
4. A Study on Data-driven Methods for Selection and Evaluation of Beam Subsets in 5G NR
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : 5G New Radio is the next generation of mobile networks and it comes with promises of ultra-high speeds, ultra-high reliability and ultra-low latency. This has posed a challenge for the engineers entrusted with the task of finding solutions which could fulfil the specification, and as a result, some promising areas have received increased attention in recent years. LÄS MER
5. Dynamic Graph Representation Learning on Enterprise Live Video Streaming Events
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Enterprises use live video streaming as a mean of communication. Streaming high-quality video to thousands of devices in a corporate network is not an easy task; the bandwidth requirements often exceed the network capacity. LÄS MER