Essays about: "Video Quality Metrics"
Showing result 1 - 5 of 45 essays containing the words Video Quality Metrics.
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1. Objective measurement of video quality
University essay from Uppsala universitet/Avdelningen Vi3Abstract : Automatic video quality assessment has many potential use cases in today’s video-filledsociety, for example, when trying to find highlights in a video. This thesis studies the possibilityof extracting the best segments from a video automatically based on five selected metrics:sharpness, colorfulness, contrast, stability, and aesthetics. READ MORE
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2. Impact of fixed-rate fingerprinting defense on cloud gaming experience
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Cloud gaming has emerged as a popular solution to meet the increasing hardware de-mands of modern video games, allowing players with dated or non-sufficient hardwareto access high-quality gaming experiences. However, the growing reliance on cloud ser-vices has led to heightened concerns regarding user privacy and the risk of fingerprintingattacks. READ MORE
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3. Scene Reconstruction From 4D Radar Data with GAN and Diffusion : A Hybrid Method Combining GAN and Diffusion for Generating Video Frames from 4D Radar Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 4D Imaging Radar is increasingly becoming a critical component in various industries due to beamforming technology and hardware advancements. However, it does not replace visual data in the form of 2D images captured by an RGB camera. READ MORE
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4. Performance Analysis of a Godot Game-Agnostic Streaming Tool
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Streaming games is traditionally done with video and audio both for watching on websites like Twitch and YouTube or playing via cloud gaming services. Streaming with video and audio requires good internet speeds to be of satisfactory quality therefore compression algorithms are used. READ MORE
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5. Messing With The Gap: On The Modality Gap Phenomenon In Multimodal Contrastive Representation Learning
University essay from Uppsala universitet/Industriell teknikAbstract : In machine learning, a sub-field of computer science, a two-tower architecture model is a specialised type of neural network model that encodes paired data from different modalities (like text and images, sound and video, or proteomics and gene expression profiles) into a shared latent representation space. However, when training these models using a specific contrastive loss function, known as the multimodalinfoNCE loss, seems to often lead to a unique geometric phenomenon known as the modality gap. READ MORE