An Efficient Method for No-Reference Video Quality Assessment [PDF]
Journal of Imaging, 2021 Methods for No-Reference Video Quality Assessment (NR-VQA) of consumer-produced video content are largely investigated due to the spread of databases containing videos affected by natural distortions.
Mirko Agarla +2 more
doaj +8 more sources
Predictive no-reference assessment of video quality [PDF]
Signal Processing: Image Communication, 2017 Among the various means to evaluate the quality of video streams, lightweight No-Reference (NR) methods have low computation and may be executed on thin clients. Thus, these methods would be perfect candidates in cases of real-time quality assessment, automated quality control and in adaptive mobile streaming. Yet, existing real-time, NR approaches are
Maria Torres Vega +2 more
exaly +5 more sources
Reduced reference image and video quality assessments: review of methods [PDF]
EURASIP Journal on Image and Video Processing, 2022 With the growing demand for image and video-based applications, the requirements of consistent quality assessment metrics of image and video have increased.
Shahi Dost +5 more
doaj +5 more sources
No-Reference Quality Assessment of In-Capture Distorted Videos [PDF]
Journal of Imaging, 2020 We introduce a no-reference method for the assessment of the quality of videos affected by in-capture distortions due to camera hardware and processing software. The proposed method encodes both quality attributes and semantic content of each video frame
Mirko Agarla +2 more
doaj +3 more sources
KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild
IEEE Access, 2021 Video quality assessment (VQA) methods focus on particular degradation types, usually artificially induced on a small set of reference videos. Hence, most traditional VQA methods under-perform in-the-wild.
Franz Gotz-Hahn +3 more
doaj +6 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
doaj +1 more source
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