Results 21 to 30 of about 34,182,007 (213)
No-reference Video Quality Assessment and Applications.
, 2014 published
Zhu, Kongfeng
core +4 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
Video Quality Analysis: Steps towards Unifying Full and No Reference Cases
Standards, 2022 Video quality assessment (VQA) is now a fast-growing field, maturing in the full reference (FR) case, yet challenging in the exploding no reference (NR) case.
Pankaj Topiwala +4 more
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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
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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
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Sensors, 2022 During acquisition, storage, and transmission, the quality of digital videos degrades significantly. Low-quality videos lead to the failure of many computer vision applications, such as object tracking or detection, intelligent surveillance, etc.
Domonkos Varga
doaj +1 more source
Sensors, 2022 With the constantly growing popularity of video-based services and applications, no-reference video quality assessment (NR-VQA) has become a very hot research topic.
Domonkos Varga
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
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