Results 31 to 40 of about 34,267,745 (273)
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
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 Video Quality Assessment Using Codec Analysis [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2015 A no-reference (NR) video quality assessment (VQA) method is presented for videos distorted by H.264/Advanced Video Coding (AVC) and MPEG-2. The assessment is performed without access to the bitstream. Instead, we analyze and estimate coefficients based on decoded pixels.
Jacob Søgaard +2 more
openaire +2 more sources
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
doaj +1 more source
Quality assessment of user-generated video using camera motion [PDF]
, 2013 With user-generated video (UGV) becoming so popular on theWeb, the availability of a reliable quality assessment (QA) measure of UGV is necessary for improving the users’ quality of experience in videobased application.
Guo, Jinlin +9 more
core +3 more sources
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
2D no-reference video quality model development and 3D video transmission quality [PDF]
, 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.
Barkowsky, Markus +9 more
core +1 more source
Sensors, 2022 An objective stereo video quality assessment (SVQA) strives to be consistent with human visual perception while ensuring a low time and labor cost of evaluation.
Fenghao Gu, Zhichao Zhang
doaj +1 more source