Results 11 to 20 of about 492 (173)

Perceptual video quality assessment: the journey continues! [PDF]

open access: yesFrontiers in Signal Processing, 2023
Perceptual Video Quality Assessment (VQA) is one of the most fundamental and challenging problems in the field of Video Engineering. Along with video compression, it has become one of two dominant theoretical and algorithmic technologies in television ...
Avinab Saha   +7 more
doaj   +2 more sources

Light-VQA: A Multi-Dimensional Quality Assessment Model for Low-Light Video Enhancement

open access: yesProceedings of the 31st ACM International Conference on Multimedia, 2023
Recently, Users Generated Content (UGC) videos becomes ubiquitous in our daily lives. However, due to the limitations of photographic equipments and techniques, UGC videos often contain various degradations, in which one of the most visually unfavorable effects is the underexposure.
Yunlong Dong   +5 more
openaire   +3 more sources

MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos

open access: yes2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Accepted to ...
Zicheng Zhang   +7 more
openaire   +3 more sources

An Efficient Method for No-Reference Video Quality Assessment [PDF]

open access: yesJournal 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   +2 more sources

RAVA: Region-Based Average Video Quality Assessment

open access: yesSensors, 2021
Video has become the most popular medium of communication over the past decade, with nearly 90 percent of the bandwidth on the Internet being used for video transmission.
Xuanyi Wu   +3 more
doaj   +2 more sources

LMM-VQA: Advancing Video Quality Assessment With Large Multimodal Models

open access: yesIEEE Transactions on Circuits and Systems for Video Technology
The explosive growth of videos on streaming media platforms has underscored the urgent need for effective video quality assessment (VQA) algorithms to monitor and perceptually optimize the quality of streaming videos. However, VQA remains an extremely challenging task due to the diverse video content and the complex spatial and temporal distortions ...
Yunhao Li   +2 more
exaly   +3 more sources

Evaluating the Role of Content in Subjective Video Quality Assessment [PDF]

open access: yesThe Scientific World Journal, 2014
Video quality as perceived by human observers is the ground truth when Video Quality Assessment (VQA) is in question. It is dependent on many variables, one of them being the content of the video that is being evaluated. Despite the evidence that content
Milan Mirkovic   +4 more
doaj   +2 more sources

Factors impacting human-perceived visual quality on television displays [PDF]

open access: yesFrontiers in Neuroscience
There is a growing interest in understanding the factors that influence a user's perception and preferences for video quality. This study specifically focuses on how various factors, including video content, display settings, viewer characteristics, and ...
Eddie Pei   +3 more
doaj   +2 more sources

ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment [PDF]

open access: yesCoRR
With the rapid growth of User-Generated Content (UGC) exchanged between users and sharing platforms, the need for video quality assessment in the wild is increasingly evident. UGC is typically acquired using consumer devices and undergoes multiple rounds of compression (transcoding) before reaching the end user.
Wang, Xinyi   +2 more
core   +5 more sources

CLiF-VQA: Enhancing Video Quality Assessment by Incorporating High-Level Semantic Information related to Human Feelings

open access: yesProceedings of the 32nd ACM International Conference on Multimedia, 2023
Video Quality Assessment (VQA) aims to simulate the process of perceiving video quality by the human visual system (HVS). The judgments made by HVS are always influenced by human subjective feelings. However, most of the current VQA research focuses on capturing various distortions in the spatial and temporal domains of videos, while ignoring the ...
Yachun Mi   +5 more
openaire   +3 more sources

Home - About - Disclaimer - Privacy