Essays about: "Video Distribution Network"

Showing result 1 - 5 of 34 essays containing the words Video Distribution Network.

  1. 1. Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis

    University essay from Lunds universitet/Matematik LTH

    Author : Chloé Soormally; [2023]
    Keywords : Tuberculosis; COVID-19; Lung Ultrasound; Computer-aided detection CAD ; Deep learning; Technology and Engineering;

    Abstract : BACKGROUND. Early and accurate detection of infectious respiratory diseases like COVID-19 and tuberculosis (TB) plays a crucial role in effective management and the reduction of preventable mortality. READ MORE

  3. 2. Prediction Models for TV Case Resolution Times with Machine Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Borja Javierre I Moyano; [2023]
    Keywords : 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.;

    Abstract : 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. READ MORE

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Emil Myresten; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  5. 4. Power dynamics and order formation in mobile MOBA games : a Foucauldian analysis of "Honor of Kings"

    University essay from Lunds universitet/Medie- och kommunikationsvetenskap; Lunds universitet/Institutionen för kommunikation och medier

    Author : Shuaijun Zhang; [2023]
    Keywords : Social Sciences;

    Abstract : Video games can be seen as a media that immerses players. The formation of a good game order is an important guarantee for players to engage in electronic games. This paper selects the most popular mobile MOBA game in China, "Honor of Kings," as the research object to analyze the formation process of the game order. READ MORE

  6. 5. Anchor-free object detection in surveillance applications

    University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Author : Peter Magnusson; [2023]
    Keywords : computer vision; object detection; detector models; artificial neural networks; deep learning; detection precision; inference efficiency; surveillance applications; anchor-free detection; convolutional neural network; machine learning;

    Abstract : Computer vision object detection is the task of detecting and identifying objects present in an image or a video sequence. Models based on artificial convolutional neural networks are commonly used as detector models. Object detection precision and inference efficiency are crucial for surveillance-based applications. READ MORE