Proceedings ArticleDOI
Video quality assessment using temporal quality variations and machine learning
Manish Narwaria,Weisi Lin +1 more
- pp 1-6
TLDR
Experiments conducted using two publicly available video databases show the effectiveness of the proposed full-reference metric in comparison to the relevant existing VQA metrics.Abstract:
Objective video quality assessment (VQA) is the use of computational models to predict the video quality in line with the perception of the human visual system (HVS). It is challenging due to the underlying complexity, and the relatively limited understanding of the HVS and its intricate mechanisms. There are two important issues regarding VQA: (a) the temporal factors apart from the spatial ones also need to be considered, (b) the contribution of each factor and their interaction to the overall video quality needs to be determined. In this paper, we attempt to tackle the first issue by utilizing the variation of spatial quality along the temporal axis. The second issue is addressed by the use of machine learning; we believe this to be more convincing since the relationship between the factors and the overall quality is derived via training with substantial ground truth (i.e. subjective scores). Experiments conducted using two publicly available video databases show the effectiveness of the proposed full-reference metric in comparison to the relevant existing VQA metrics.read more
Citations
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Journal ArticleDOI
Visual quality assessment : recent developments, coding applications and future trends
TL;DR: This work provides an in-depth review of recent developments in the field of visual quality assessment and puts equal emphasis on video quality databases and metrics as this is a less investigated area.
Journal ArticleDOI
Recent advances and challenges of visual signal quality assessment
TL;DR: This work focuses on recent progresses of quality metrics, which have been reviewed for the newly emerged forms of visual signals, which include scalable and mobile videos, High Dynamic Range (HDR) images, image segmentation results, 3D images/videos, and retargeted images.
Proceedings ArticleDOI
Spatio-Temporal Interactive Laws Feature Correlation Method to Video Quality Assessment
TL;DR: The extensive experiments in the LIVE Video Quality Database suggest the proposed video quality assessment model has superior correlation performance with human visual perception than other state-of-the-art methods.
Proceedings Article
A fusion approach to video quality assessment based on temporal decomposition
TL;DR: This work decomposes an input video clip into multiple smaller intervals, measure the quality of each interval separately, and applies a fusion approach to integrating these scores into a final one to improve MOVIE and is also competitive with other state-of-the-art video quality metrics.
Dissertation
Complex-Wavelet Structural Similarity Based Image Classification
TL;DR: A series of novel image classification algorithms based on CW-SSIM, which does not involve any registration, intensity normalization or sophisticated feature extraction processes, and does not rely on any modeling of the image patterns or distortion processes, achieves competitive performance with reduced computational cost.
References
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Journal ArticleDOI
Temporal Trajectory Aware Video Quality Measure
TL;DR: A framework that adds a temporal distortion awareness to typical video quality measurement algorithms and shows that the processing steps and the signal representations that are generated by the algorithm follow the reasoning of a human observer in a subjective experiment is presented.
Journal ArticleDOI
Continuous assessment of perceptual image quality
Roelof Hamberg,Huib de Ridder +1 more
TL;DR: A new method for assessing time-varying perceptual image quality is presented by which subjects continuously indicate the perceived strength of image quality by moving a slider along a graphical scale.
Journal ArticleDOI
Modelling of spatio-temporal interaction for video quality assessment
Quan Huynh-Thu,Mohammed Ghanbari +1 more
TL;DR: An objective model is proposed to predict overall video quality by integrating the contributions of a spatial quality and a temporal quality, and the non-linear model shows a very high linear correlation with subjective data.
Proceedings ArticleDOI
Scalable image quality assessment based on structural vectors
Manish Narwaria,Weisi Lin +1 more
TL;DR: This paper proposes the use of singular vectors out of Singular Value Decomposition as effective structuring elements in images and use them to quantify the loss in structural information in images.
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