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Objective video quality assessment
Optical Engineering, 2006We propose a new method for an objective measurement of video quality. By analyzing subjective scores of various video sequences, we find that the human visual system is particularly sensitive to degradation around edges. In other words, when edge areas of a video sequence are degraded, evaluators tend to give low quality scores to the video, even ...
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Research on Video Quality Assessment
Journal of Multimedia, 2012Objective quality assessment plays a very important role in the video applications, as they promise the means to evaluate the performance of acquisition, display, coding and communication systems. Objective video quality assessment still has a long way to go before it reaches the level of success. Perception video sequences quality metrics are of great
Chunting Yang, Yang Liu, Jing Yu
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Motion-aware video quality assessment
2017 51st Asilomar Conference on Signals, Systems, and Computers, 2017This work focuses on considering motion towards improving video quality assessment algorithms. The improvement refers to improving computational video quality assessment algorithms in order to be in closer agreement with the subjective evaluation of video quality.
Marina Georgia Arvanitidou +1 more
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Software for video quality assessment
2016 39th International Conference on Telecommunications and Signal Processing (TSP), 2016This paper deals with objective video assessment methods. The paper begins with a short introduction to video quality evaluation methods. Mainly it is concentrated to common objective measurement methods including Peak to Signal Noise Ratio (PSNR), Structural Similarity (SSIM), and Mean-Singular Value Decomposition (M-SVD).
Petr Cika, Dominik Kovac, Jan Bilek
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A Metric for Video Blending Quality Assessment
IEEE Transactions on Image Processing, 2020We propose an objective approach to assess the quality of video blending. Blending is a fundamental operation in video editing, which can smooth the intensity changes of relevant regions. However blending also generates artefacts such as bleeding and ghosting.
Zhe Zhu +3 more
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Quality Assessment of Mobile Videos
2014Video consumption in mobile environments has become very popular these days. Accordingly, the issue of how to maximize users’ satisfaction for delivered video contents has arisen as an important research problem. Therefore, it is crucial to understand and model the perceptual mechanism of quality of experience (QoE) of mobile videos.
Manri Cheon +3 more
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Image and Video Quality Assessment
2014Recently, there is a striking rise in the interest and demand of accurate image quality assessment algorithms. Image and video quality assessment plays an important role in optimizing, benchmarking, monitoring, and inspecting multimedia systems. Since the human visual system (HVS) is the ultimate receiver of the visual signals, developing quality ...
Wen Gao, Siwei Ma
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Automatic gastroscopy video quality assessment
2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014), 2014Automatic endoscope video analysis is an essential function for medical robot and computer-aided diagnosis system. However, the performance of these video analysis algorithms are often degraded by low quality endoscope images under the uncontrolled environment, where some of them are difficult even for human ourselves for analysis, such as over ...
Shuai Wang +5 more
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Salient Motion Features for Video Quality Assessment
IEEE Transactions on Image Processing, 2011Design of algorithms that are able to estimate video quality as perceived by human observers is of interest for a number of applications. Depending on the video content, the artifacts introduced by the coding process can be more or less pronounced and diversely affect the quality of videos, as estimated by humans.
Dubravko, Ćulibrk +5 more
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Digital Video Quality Assessment Algorithms
2009In this chapter we first describe some HVS-based approaches which try to model the visual processing stream described above, since these approaches were originally used to predict visual quality. We then describe recently proposed structural and information-theoretic approaches and feature-based approaches which are commonly used.
Anush K. Moorthy +2 more
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