No‐reference quality assessment of dynamic sports videos based on a spatiotemporal motion model
ETRI Journal, 2021 This paper proposes an approach to improve the performance of no‐reference video quality assessment for sports videos with dynamic motion scenes using an efficient spatiotemporal model.
Hyoung‐Gook Kim +3 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
MRET: Multi-resolution transformer for video quality assessment
Frontiers in Signal Processing, 2023 No-reference video quality assessment (NR-VQA) for user generated content (UGC) is crucial for understanding and improving visual experience. Unlike video recognition tasks, VQA tasks are sensitive to changes in input resolution.
Junjie Ke +4 more
doaj +1 more source
No-Reference Quality Assessment of Transmitted Stereoscopic Videos Based on Human Visual System
Applied Sciences, 2022 Provisioning the stereoscopic 3D (S3D) video transmission services of admissible quality in a wireless environment is an immense challenge for video service providers.
Md Mehedi Hasan +4 more
doaj +1 more source
Predictive No-Reference Assessment of Video Quality
CoRR, 2016 Among the various means to evaluate the quality of video streams, No-Reference (NR) methods have low computation and may be executed on thin clients. Thus, NR algorithms would be perfect candidates in cases of real-time quality assessment, automated quality control and, particularly, in adaptive mobile streaming.
Maria Torres Vega +2 more
openaire +2 more sources
Review of Research on Video Quality Assessment Based on Deep Learning
Jisuanji kexue yu tansuo, 2021 Video quality assessment (VQA) is based on the subjective quality assessment results of the human eye, using models to evaluate distorted videos. It is difficult for traditional assessment methods to make subjective assessment results consistent with ...
TAN Yaya, KONG Guangqian
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Cognitive no-reference video quality assessment for mobile streaming services [PDF]
, 2015 The evaluation of mobile streaming services, particularly in terms of delivered Quality of Experience (QoE), entails the use of automated methods (which excludes subjective QoE) that can be executed in real-time (i.e.
Liotta, Antonio +24 more
core +1 more source
No-reference image and video quality assessment: a classification and review of recent approaches [PDF]
, 2014 The field of perceptual quality assessment has gone through a wide range of developments and it is still growing. In particular, the area of no-reference (NR) image and video quality assessment has progressed rapidly during the last decade. In this
Lövström, Benny, +11 more
core +1 more source
Study of No-Reference Video Quality Metrics for HEVC Compression
Journal of Telecommunications and Information Technology, 2016 The paper proposes a No-Reference (NR) quality assessment measurement originally developed for H.264, used for High Efficiency Video Coding (HEVC). In particular, authors present an investigation of NR metrics to objectively estimate the perceptual ...
Mikołaj Leszczuk +4 more
doaj +1 more source
No reference quality assessment for MPEG video delivery over IP [PDF]
, 2014 Video delivering over Internet protocol (IP)-based communication networks is widely used in the actual information sharing scenario. As well known, the best-effort Internet architecture cannot guarantee an errorless data delivering.
Carli M., Battisti F., Neri A.
core +2 more sources