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Deep Video Quality Assessor: From Spatio-Temporal Visual Sensitivity to a Convolutional Neural Aggregation Network [chapter]

Woojae Kim, Jongyoo Kim, Sewoong Ahn, Jinwoo Kim, Sanghoon Lee
2018 Lecture Notes in Computer Science  
In addition, to manipulate the temporal variation of distortions, we propose a novel temporal pooling method using an attention model.  ...  Incorporating spatio-temporal human visual perception into video quality assessment (VQA) remains a formidable issue.  ...  Other studies have analyzed the score distribution and adaptively pooled the temporal scores from the HVS perspective [12] .  ... 
doi:10.1007/978-3-030-01246-5_14 fatcat:befai257abfdnhfzhktxxfkgqu

Video Quality Pooling Adaptive to Perceptual Distortion Severity

Jincheol Park, Kalpana Seshadrinathan, Sanghoon Lee, Alan Conrad Bovik
2013 IEEE Transactions on Image Processing  
We propose a content adaptive spatial and temporal pooling strategy based on the observed distribution.  ...  In order to understand this phenomena, we study the distribution of spatio-temporally local quality scores obtained from several video quality assessment (VQA) algorithms on videos suffering from compression  ...  Our model adapts to the video content, and parameters used in the spatio-temporal pooling are determined for each video sequence based on the distribution of the spatiotemporal quality scores and the presence  ... 
doi:10.1109/tip.2012.2219551 pmid:23008260 fatcat:t4g3cj7x3ffa3e5wsejkvmmxpq

Issues in vision modeling for perceptual video quality assessment

Stefan Winkler
1999 Signal Processing  
Its purpose is not to describe a particular model or system, but rather to summarize and to provide pointers to up-to-date knowledge of important characteristics of the human visual system, to explain  ...  Simple error measures such as RMSE or PSNR, albeit popular, ignore this important fact and are only a mediocre predictor of perceived quality.  ...  Alternatively, the distortion can be computed locally for every pixel, yielding a perceptual distortion map for better visualization of the temporal and spatial distribution of distortions.  ... 
doi:10.1016/s0165-1684(99)00062-6 fatcat:etda773oejdmdgdidc57z2b57a

Quality Assessment for Omnidirectional Video: A Spatio-Temporal Distortion Modeling Approach

Pan Gao, Pengwei Zhang, Aljosa Smolic
2020 IEEE transactions on multimedia  
Index Terms-Omnidirectional video, objective video quality assessment, spatio-temporal distortion.  ...  Omnidirectional video, also known as 360-degree video, has become increasingly popular nowadays due to its ability to provide immersive and interactive visual experiences.  ...  The perception of the temporal distortions is closely related to the visual attention mechanisms.  ... 
doi:10.1109/tmm.2020.3044458 fatcat:bw5srzh5mja6jl7qg5e2vs4fui

Multi-Dimensional Feature Fusion Network for No-Reference Quality Assessment of In-the-Wild Videos

Jiu Jiang, Xianpei Wang, Bowen Li, Meng Tian, Hongtai Yao
2021 Sensors  
Meanwhile, in order to simulate human visual habits, we built a parametric adaptive network structure to obtain the final score.  ...  The perception of in-the-wild video quality without reference is mainly challenged by hybrid distortions with dynamic variations and the movement of the content.  ...  Objective VQA methods can mimic the human visual system (HVS), distinguish distortion in the video, and thus reasonably perceive the quality of the video.  ... 
doi:10.3390/s21165322 pmid:34450761 pmcid:PMC8401047 fatcat:mdlv5ypulffkxasaqpnnctxck4

Overt visual attention for free-viewing and quality assessment tasks

O. Le Meur, A. Ninassi, P. Le Callet, D. Barba
2010 Signal processing. Image communication  
A spatial pooling of the spatio-temporal distortion is performed in the final step.  ...  Section IV presents a video quality metric in which the pooling of the spatio-temporal distortion gives more importance to degradations appearing on visually interesting areas.  ... 
doi:10.1016/j.image.2010.05.006 fatcat:aynefbsle5cnfdxoztycdoc7vu

Efficient motion weighted spatio-temporal video SSIM index

Anush K. Moorthy, Alan C. Bovik, Bernice E. Rogowitz, Thrasyvoulos N. Pappas
2010 Human Vision and Electronic Imaging XV  
Spatio-temporal video SSIM utilizes motion information computed from a block-based motion-estimation algorithm and quality measures using a localized set of oriented spatio-temporal filters.  ...  Recently, Seshadrinathan and Bovik proposed the Motion-based Video Integrity Evaluation (MOVIE) index for VQA. 1, 2 MOVIE utilized a multi-scale spatio-temporal Gabor filter bank to decompose the videos  ...  Spatio-temporal quality assessment is undertaken using a modified version of SS-SSIM, which we shall consider in the next section.  ... 
doi:10.1117/12.844198 dblp:conf/hvei/MoorthyB10 fatcat:dksiomvzdrdgbjfk3r5h7wmxlm

2019 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 29

2019 IEEE transactions on circuits and systems for video technology (Print)  
Lei, J., +, TCSVT July 2019 2126-2137 Action Recognition With Spatio-Temporal Visual Attention on Skeleton Image Sequences.  ...  Liao, K., +, TCSVT Dec. 2019 3743-3753 Convolution Action Recognition With Spatio-Temporal Visual Attention on Skeleton Image Sequences.  ... 
doi:10.1109/tcsvt.2019.2959179 fatcat:2bdmsygnonfjnmnvmb72c63tja

On the practical applications of objective quality metrics for stereoscopic 3D imaging

Sria Biswas, Balasubramanyam Appina, Roopak R. Tamboli, Peter Andras Kara, Aniko Simon, Michael E. Zelinski, Tarek M. Taha, Jonathan Howe
2021 Applications of Machine Learning 2021  
This applies to stereoscopic 3D imaging as well, which is utilized in both industry, healthcare, education and entertainment.  ...  Our contribution addresses each and every state-of-the-art objective metric in the scientific literature, separately for image and video quality.  ...  ACKNOWLEDGMENTS The scientific efforts leading to the results reported in this paper were supported in part by the Department of Science and Technology -Science and Engineering Research Board, Government  ... 
doi:10.1117/12.2597649 fatcat:dazxc7pyajew5mswykibq6lr5e

A Testbed For The Evaluation Of Mpeg Video Transmission On Atm Networks

A. Basso
1996 Zenodo  
The quality metric is based on a spatio-temporal model of the human visual system and predicts the quality of video sequences as perceived by human observers.  ...  The computational quality metric, termed moving pictures quality metric (MPQM), is based on a spatio-temporal model of vision so as to predict video quality as perceived by human observers.  ... 
doi:10.5281/zenodo.36446 fatcat:tcdyqlkz3bfs7kxoqmawfughdq

A Survey on Perceptually Optimized Video Coding [article]

Yun Zhang, Linwei Zhu, Gangyi Jiang, Sam Kwong, C.-C.Jay Kuo
2021 arXiv   pre-print
Secondly, the recent advances on visual factors, key computational visual models and quality assessment models are presented.  ...  Perceptually optimized video coding aims to exploit visual redundancies in videos so as to maximize compression efficiency.  ...  used to fuse spatio-temporal and depth attributes.  ... 
arXiv:2112.12284v1 fatcat:i32kehwyzbgu5ffhok3p5qxyum

Perceptual visual quality metrics: A survey

Weisi Lin, C.-C. Jay Kuo
2011 Journal of Visual Communication and Image Representation  
These include signal decomposition, justnoticeable distortion, visual attention, and common feature and artifact detection.  ...  In this paper, we give a systematic, comprehensive and up-to-date review of perceptual visual quality metrics (PVQMs) to predict picture quality according to human perception.  ...  Acknowledgement The authors are grateful to Mr. Manish Narwaria and Mr.  ... 
doi:10.1016/j.jvcir.2011.01.005 fatcat:5or457ucvzbmnjm4vnxuehdpqi

A Hitchhiker's Guide to Structural Similarity

Abhinau K. Venkataramanan, Chengyang Wu, Alan C. Bovik, Ioannis Katsavounidis, Zafar Shahid
2021 IEEE Access  
INDEX TERMS Image/video quality assessment, structural similarity index, pareto optimality, color SSIM, spatio-temporal aggregation, enhanced SSIM. 28872 This work is licensed under a Creative Commons  ...  To address this situation, we studied and compared the functions and performances of popular and widely used implementations of SSIM, and we also considered a variety of design choices.  ...  The visual importance of distortions was measured in two ways: visual attention maps using the Gaze-Attentive Fixation Finding Engine (GAFFE) [70] , and percentile pooling (PP) of quality scores.  ... 
doi:10.1109/access.2021.3056504 fatcat:jxc4xptxqnhfpi6yvbbcsxosui

Image quality assessment and human visual system

Xinbo Gao, Wen Lu, Dacheng Tao, Xuelong Li, Pascal Frossard, Houqiang Li, Feng Wu, Bernd Girod, Shipeng Li, Guo Wei
2010 Visual Communications and Image Processing 2010  
This paper summaries the state-of-the-art of image quality assessment (IQA) and human visual system (HVS). IQA provides an objective index or real value to measure the quality of the specified image.  ...  Since human beings are the ultimate receivers of visual information in practical applications, the most reliable IQA is to build a computational model to mimic the HVS.  ...  Wolf and Pinson's video quality metric (VQM) [68] utilizes spatial distortion pooling and temporal distortion pooling. Pahalawatta et al.  ... 
doi:10.1117/12.862431 dblp:conf/vcip/GaoLTL10 fatcat:myablxvtevfhvfjx2puwb4wesu

Visual Search for Objects in a Complex Visual Context: What We Wish to See [chapter]

Hugo Boujut, Aurélie Bugeau, Jenny Benois-Pineau
2014 Digital Imaging and Computer Vision  
Visual saliency is well suited for catching spatio-temporal information related to the observer's attention on the video frame.  ...  The temporal saliency map S t models the attraction of attention to motion singularities in a scene. The visual attention is not grabbed by the motion itself.  ... 
doi:10.1201/b17080-4 fatcat:3twtmc5vurb3xezrlmygaastqu
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