Results 21 to 30 of about 916,844 (227)

UGC-VIDEO: Perceptual Quality Assessment of User-Generated Videos [PDF]

open access: yes2020 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2020
Recent years have witnessed an ever-expandingvolume of user-generated content (UGC) videos available on the Internet. Nevertheless, progress on perceptual quality assessmentof UGC videos still remains quite limited. There are many distinguished characteristics of UGC videos in the complete video production and delivery chain, and one important property
Li, Yang   +5 more
openaire   +2 more sources

FOVQA: Blind Foveated Video Quality Assessment

open access: yesIEEE Transactions on Image Processing, 2022
Previous blind or No Reference (NR) video quality assessment (VQA) models largely rely on features drawn from natural scene statistics (NSS), but under the assumption that the image statistics are stationary in the spatial domain. Several of these models are quite successful on standard pictures.
Yize Jin   +3 more
openaire   +3 more sources

Constructing a no-reference H.264/AVC bitstream-based video quality metric using genetic programming-based symbolic regression [PDF]

open access: yes, 2013
In order to ensure optimal quality of experience toward end users during video streaming, automatic video quality assessment becomes an important field-of-interest to video service providers.
Demeester, Piet   +5 more
core   +1 more source

Telepresence Video Quality Assessment

open access: yes, 2022
ECCV ...
Ying, Zhenqiang   +2 more
openaire   +2 more sources

Video-based assessment (VBA) of an open, simulated orthopedic surgical procedure: a pilot study using a single-angle camera to assess surgical skill and decision making

open access: yesJournal of Orthopaedic Surgery and Research, 2023
Background Videos have been used in many settings including medical simulation. Limited information currently exists on video-based assessment in surgical training. Effective assessment tools have substantial impact on the future of training.
Obaid Al-Hubaishi   +7 more
doaj   +1 more source

No‐reference quality assessment of dynamic sports videos based on a spatiotemporal motion model

open access: yesETRI 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

Survey on Action Quality Assessment Methods in Video Understanding [PDF]

open access: yesJisuanji kexue, 2022
Action quality assessment refers to evaluate the action quality performed by human in video,such as calculating the quality score,level and evaluating the performance of different people.It is an important direction in video understanding and computer ...
ZHANG Hong-bo, DONG Li-jia, PAN Yu-biao, HSIAO Tsung-chih, ZHANG Hui-zhen, DU Ji-xiang
doaj   +1 more source

Comparing temporal behavior of fast objective video quality measures on a large-scale database [PDF]

open access: yes, 2016
In many application scenarios, video quality assessment is required to be fast and reasonably accurate. The characterisation of objective algorithms by subjective assessment is well established but limited due to the small number of test samples ...
Aldahdooh, Ahmed   +3 more
core   +1 more source

MRET: Multi-resolution transformer for video quality assessment

open access: yesFrontiers 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

Standardized toolchain and model development for video quality assessment: the mission of the joint effort group in VQEG [PDF]

open access: yes, 2011
International audienceSince 1997, the Video Quality Experts Group (VQEG) has been active in the field of subjective and objective video quality assessment. The group has validated competitive quality metrics throughout several projects.
Barkowsky, Marcus   +5 more
core   +4 more sources

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