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Journal ArticleDOI

No-Reference Quality Assessment for Networked Video via Primary Analysis of Bit Stream

TLDR
The results obtained by performance evaluations using MPEG-4 coded video streams have demonstrated the effectiveness of the proposed NR video quality metric.
Abstract
A no-reference (NR) quality measure for networked video is introduced using information extracted from the compressed bit stream without resorting to complete video decoding. This NR video quality assessment measure accounts for three key factors which affect the overall perceived picture quality of networked video, namely, picture distortion caused by quantization, quality degradation due to packet loss and error propagation, and temporal effects of the human visual system. First, the picture quality in the spatial domain is measured, for each frame, relative to quantization under an error-free transmission condition. Second, picture quality is evaluated with respect to packet loss and the subsequent error propagation. The video frame quality in the spatial domain is, therefore, jointly determined by coding distortion and packet loss. Third, a pooling scheme is devised as the last step of the proposed quality measure to capture the perceived quality degradation in the temporal domain. The results obtained by performance evaluations using MPEG-4 coded video streams have demonstrated the effectiveness of the proposed NR video quality metric.

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Citations
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Journal ArticleDOI

From QoS to QoE: A Tutorial on Video Quality Assessment

TL;DR: A comprehensive survey of the evolution of video quality assessment methods, analyzing their characteristics, advantages, and drawbacks and identifying the future research directions of QoE is given.
Journal ArticleDOI

Measurement of Quality of Experience of Video-on-Demand Services: A Survey

TL;DR: This survey presents a tutorial overview of the popular video streaming techniques deployed for stored videos, followed by identifying various metrics that could be used to quantify the QoE for video streaming services; and presents a comprehensive survey of the literature on various tools and measurement methodologies that have been proposed to measure or predict theQoE of online video streaming Services.
Journal ArticleDOI

No-reference image and video quality assessment: a classification and review of recent approaches

TL;DR: A classification and review of latest published research work in the area of NR image and video quality assessment is presented and the NR methods of visual quality assessment considered for review are structured into categories and subcategories based on the types of methodologies used for the underlying processing employed for quality estimation.
Journal ArticleDOI

Video Quality Pooling Adaptive to Perceptual Distortion Severity

TL;DR: This work proposes a content adaptive spatial and temporal pooling strategy based on the observed distribution of spatio-temporally local quality scores obtained from several video quality assessment (VQA) algorithms on videos suffering from compression and lossy transmission over communication channels.
Journal ArticleDOI

An Optical Flow-Based Full Reference Video Quality Assessment Algorithm

TL;DR: An optical flow-based no-reference video quality assessment (NR-VQA) algorithm for assessing the perceptual quality of natural videos based on the hypothesis that distortions affect flow statistics both locally and globally is presented.
References
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Journal ArticleDOI

A new standardized method for objectively measuring video quality

TL;DR: The independent test results from the VQEG FR-TV Phase II tests are summarized, as well as results from eleven other subjective data sets that were used to develop the NTIA General Model.
Journal ArticleDOI

Video Quality Assessment Based on Structural Distortion Measurement

TL;DR: A new philosophy in designing image and video quality metrics is followed, which uses structural dis- tortion as an estimate of perceived visual distortion as part of full-reference (FR) video quality assessment.
Book

What's wrong with mean-squared error?

Bernd Girod
TL;DR: The invention relates to a spark plug tightener with a cylindrical housing having on one end a multi-faceted opening for engaging the spark plug and on the other end an annular shaped profile in front view through which passes a turning shaft.
Reference EntryDOI

Rate-Distortion Theory

TL;DR: Shannon's contribution is described and his subsequent development worldwide is traced, andavier than usual emphasis is placed on the concept of “matching” a channel to a source in the rate-distortion sense, and also on the analogous matching of a source to a channel.
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