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Perceptual video quality assessment: the journey continues! [PDF]
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
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
Accepted to ...
Zicheng Zhang +7 more
openaire +3 more sources
An Efficient Method for No-Reference Video Quality Assessment [PDF]
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
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
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]
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]
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]
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
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

