COME for no-reference video quality assessment
Nowadays, the issue of objective Video Quality Assessment (VQA) has been extensively
studied. In this paper, we present an effective general-purpose VQA method named …
studied. In this paper, we present an effective general-purpose VQA method named …
Jointly learning perceptually heterogeneous features for blind 3D video quality assessment
Y Wang, Y Shuai, Y Zhu, J Zhang, P An - Neurocomputing, 2019 - Elsevier
Abstract 3D videos quality assessment (3D-VQA) is essential to various 3D video processing
applications. However, it has not been well investigated on how to make use of perceptual …
applications. However, it has not been well investigated on how to make use of perceptual …
CNN-MR for no reference video quality assessment
In this paper, we propose a no-reference video quality assessment (VQA) method based on
Convolutional Neural Network (CNN) and Multi-Regression (CNN-MR). It is universal for …
Convolutional Neural Network (CNN) and Multi-Regression (CNN-MR). It is universal for …
全媒体内容质量评价研究综述.
颜成钢， 孙垚棋， 钟昊， 朱晨薇… - Journal of Signal …, 2022 - search.ebscohost.com
在全媒体时代, 媒体内容的表现形式逐渐丰富, 开始成为影响信息传播的一个重要因素.
内容质量评价仍停留在“流量思维” 阶段, 难以客观评价内容质量, 亟需发展以用户为中心的全 …
内容质量评价仍停留在“流量思维” 阶段, 难以客观评价内容质量, 亟需发展以用户为中心的全 …
Full-reference video quality estimation for videos with different spatial resolutions
AM Demirtas, AR Reibman… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Full-reference (FR) video quality estimators (QEs) resize either the distorted input video or
the reference video to compute the quality when these videos have different spatial …
the reference video to compute the quality when these videos have different spatial …
Error sensitivity model based on spatial and temporal features
R Ma, T Li, D Bo, Q Wu, P An - Multimedia Tools and Applications, 2020 - Springer
Packet loss and error propagation induced by it are significant causes of visual impairments
in video applications. Most of the existing video quality assessment models are developed at …
in video applications. Most of the existing video quality assessment models are developed at …
Performance measure of image and video quality assessment algorithms: subjective root-mean-square error
M Nuutinen, T Virtanen… - Journal of Electronic …, 2016 - spiedigitallibrary.org
Evaluating algorithms used to assess image and video quality requires performance
measures. Traditional performance measures (eg, Pearson's linear correlation coefficient …
measures. Traditional performance measures (eg, Pearson's linear correlation coefficient …
基于卷积神经网络的时空融合的无参考视频质量评价方法
王春峰， 苏荔， 黄庆明 - 中国科学院大学学报, 2018 - journal.ucas.ac.cn
无参考视频质量评价是指在不借助原始无损参考视频信息的条件下, 对于给定的任意一段视频,
直接评测出其质量程度. 传统的无参考视频质量评价方法大都基于统计分析 …
直接评测出其质量程度. 传统的无参考视频质量评价方法大都基于统计分析 …
基于深度学习的视频质量评价研究综.
谭姗姗， 孔广薄 - Journal of Frontiers of Computer Science & …, 2021 - search.ebscohost.com
视频质量评价(VQA) 是以人眼的主观质量评估结果为依据, 使用算法模型对失真视频进行评估.
传统的评估方法难以做到主观评价结果与客观评价结果相一致. 基于深度学习的视频质量评价 …
传统的评估方法难以做到主观评价结果与客观评价结果相一致. 基于深度学习的视频质量评价 …
[PDF][PDF] 基于3D 卷积神经网络的无参考视频质量评价
王春峰， 苏荔， 张维刚， 黄庆明 - 软件学报, 2017 - jos.org.cn
无参考视频质量评价(NR-VQA) 在无法获得原始高质量视频参照的前提下,
对失真视频的视觉质量进行定量度量. 常规NR-VQA 方法通常针对特定失真类型设计 …
对失真视频的视觉质量进行定量度量. 常规NR-VQA 方法通常针对特定失真类型设计 …