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Subjective video quality

About: Subjective video quality is a research topic. Over the lifetime, 1866 publications have been published within this topic receiving 79111 citations.


Papers
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Proceedings ArticleDOI
20 Mar 2014
TL;DR: A frame-level distortion model based on perceptual features of the human visual system is proposed to improve the performance of unequal error protection strategies and provide better quality of experience to users in Side-by-Side 3D video delivery systems.
Abstract: A frame-level distortion model based on perceptual features of the human visual system is proposed to improve the performance of unequal error protection strategies and provide better quality of experience to users in Side-by-Side 3D video delivery systems.
Book ChapterDOI
06 Mar 2014
TL;DR: This paper investigates the performance of three combinations of objective metrics for image quality prediction with an adaptive neuro-fuzzy inference system ANFIS and proves that the proposed method can be a promising approach for predicting subjective quality of digital images.
Abstract: Digital images often undergo through various processing and distortions which subsequently impacts the perceived image quality. Predicting image quality can be a crucial step to tune certain parameters for designing more effective acquisition, transmission, and storage multimedia systems. With the huge number of images captured and exchanged everyday, automatic prediction of image quality that correlates well with human judgment is steadily gaining increased importance. In this paper, we investigate the performance of three combinations of objective metrics for image quality prediction with an adaptive neuro-fuzzy inference system ANFIS. Images are processed to extract various attributes which are then used to build a predictive model to estimate a differential mean opinion score for different types of distortions. Using a publicly available and subjectively rated image database, the proposed method is evaluated and compared to individual metrics and an existing technique based on correlation and error measures. The results prove that the proposed method can be a promising approach for predicting subjective quality ofi¾?images.
Journal ArticleDOI
30 Sep 2009
TL;DR: Simulation results show that the proposed VR-VQMS scheme closely approximates the results from 2D video frames and gives good estimation of subjective quality, and is expected to play a role as a practical solution to monitor the video quality experienced by individual customers in a commercial IPTV service.
Abstract: In this paper, we propose a novel video quality degradation monitoring scheme titled VR-VQMS(Visual Rhythm based Video Quality Monitoring Scheme) over an IPTV service prone to packet losses during network transmission. Proposed scheme quantifies the amount of quality degradation due to packet losses, and can be classified into a RR(reduced-reference) based quality measurement scheme exploiting visual rhythm data of H.264-encoded video frames at a media server and reconstructed ones at an Set-top Box as feature information. Two scenarios, On-line and Off-line VR-VQMS, are proposed as the practical solutions. We define the NPSNR(Networked Peak-to-peak Signal-to-Noise Ratio) modified by the well-known PSNR as a new objective quality metric, and several additional objective and subjective metrics based on it to obtain the statistics on timing, duration, occurrence, and amount of quality degradation. Simulation results show that the proposed method closely approximates the results from 2D video frames and gives good estimation of subjective quality(i.e.,MOS(mean opinion score)) performed by 10 test observers. We expect that the proposed scheme can play a role as a practical solution to monitor the video quality experienced by individual customers in a commercial IPTV service, and be implemented as a small and light agent program running on a resource-limited set-top box.
Proceedings ArticleDOI
01 Dec 2011
TL;DR: The amount of multimedia information generated in today society is growing exponentially, which makes an important purpose of research to evaluate the quality of service in order to achieve customer satisfaction, i.e. to improve thequality of experience.
Abstract: The amount of multimedia information generated in today society is growing exponentially. This makes an important purpose of research to evaluate the quality of service in order to achieve customer satisfaction, i.e. in order to improve the quality of experience.
Journal ArticleDOI
TL;DR: This paper will introduce one measurement to estimate the blockiness in the compressed video and classify these deblocking algorithms into several categories.
Abstract: We tested how to improve the quality of the reconstructed video, several deblocking algorithms have been used. In this paper, we will introduce these deblocking algorithms and classify them into several categories. On the other hand, the conventional PSNR is widely adopted for estimating the quality of the compressed video. However, PSNR sometimes does not reveal the quality perceived by human visual system (HVS). In this paper, we will introduce one measurement to estimate the blockiness in the compressed video.

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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202322
202273
202116
202013
201915
201834