Results 21 to 30 of about 34,267,745 (273)
Feature‐based no‐reference video quality assessment using Extra Trees
IET Image Processing, 2022 With the emergence of social networks and improvements in the internet speed, the video data has become an ever‐increasing portion of the global internet traffic.
Hatef Otroshi‐Shahreza +2 more
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A no-reference video quality assessment based on Laplacian pyramids [PDF]
2013 IEEE International Conference on Image Processing, 2013 This paper presents an approach to predict the quality of compressed videos with content of natural scenes. The method is focused on measuring the distortion of compressed video without reference. There are two main steps of the proposed method: measuring distortion and predicting video quality.
Zhu, Kongfeng +3 more
openaire +3 more sources
, 2012 This presentation will target two different topics in video quality assessment. First, we discuss 2D no-reference video quality model development. Further, we discuss how to find suitable quality for 3D video transmission.
Le Callet, Patrick, +8 more
core +9 more sources
Deep attributes and decisions fusion for no-reference video quality analysis [PDF]
Big Data and Computing Visions, 2023 Video Quality Assessment (VQA) is a critical component of various technologies, including automated video broadcasting through displaying technologies.
Adil Baig
doaj +1 more source
Objective Underwater Video Quality Assessment Model via Two-Stream Networks [PDF]
Jisuanji kexue yu tansuo, 2023 Underwater videos often suffer from quality degradation. On the one hand, the exponential attenuation of the natural light in water media leads to the loss of underwater video quality.
SONG Wei, XIAO Yi, DU Yanling, ZHANG Minghua
doaj +1 more source
Objective assessment of region of interest-aware adaptive multimedia streaming quality [PDF]
, 2009 Adaptive multimedia streaming relies on controlled adjustment of content bitrate and consequent video quality variation in order to meet the bandwidth constraints of the communication link used for content delivery to the end-user.
Ghinea, G, Muntean, GM, Ciubotariu, B
core +6 more sources
Modular Framework and Instances of Pixel-Based Video Quality Models for UHD-1/4K
IEEE Access, 2021 The popularity of video on-demand streaming services increased tremendously over the last years. Most services use http-based adaptive video streaming methods.
Steve Goring +3 more
doaj +1 more source
No-Reference Video Quality Assessment Using Distortion Learning and Temporal Attention
IEEE Access, 2022 The rapid growth of video consumption and multimedia applications has increased the interest of the academia and industry in building tools that can evaluate perceptual video quality. Since videos might be distorted when they are captured or transmitted,
Koffi Kossi +3 more
doaj +1 more source
Three-Stream 3D deep CNN for no-Reference stereoscopic video quality assessment
Intelligent Systems with Applications, 2022 Convolutional Neural Networks (CNNs) have achieved great success in learning computer vision tasks, particularly 3D CNNs, for extracting spatio-temporal features from the given videos.
Hassan Imani +2 more
doaj +1 more source
Quality Feature Learning via Multi-Channel CNN and GRU for No-Reference Video Quality Assessment
IEEE Access, 2023 Nowadays, video quality assessment (VQA) plays a vital role in video-related industries to predict human perceived video quality to maintain the quality of service.
Ngai-Wing Kwong +3 more
doaj +1 more source