Efficient Reduced-Reference Video Quality Meter

Gunawan, Irwan Prasetya; Ghanbari, M.

doi:10.1109/tbc.2008.2000734

Cited by 40 publications

(17 citation statements)

References 18 publications

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“…They use only some information extracted from the reference video, such as the amount of motion or spatial detail, which have lower bitrate and are more feasible to be transmitted over the communication channel [15].…”

Section: B Objective Vqa Metricsmentioning

confidence: 99%

A novel methodology for mapping objective video quality metrics to the subjective MOS scale

Moldovan

Ghergulescu

Muntean

2014

2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting

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Abstract-With the rapid growth in video-based services, and as users are becoming increasingly quality-aware, the reliable estimation of video quality has become extremely important. While a multitude of objective Video Quality Assessment (VQA) metrics with various performance and complexity have been proposed, the nonlinearity of video quality and the lack of clear interpretations of the metrics make difficult to understand how the objective metric values reflect the video quality as perceived subjectively in terms of Mean Opinion Scores (MOS). This paper proposes and evaluates a methodology for mapping objective VQA metric values to subjective MOS scores based on publicly available VQA databases. Three different databases were used for comparing the performance of various objective metrics and evaluating the proposed methodology.Index Terms-Video quality assessment (VQA), mean opinion score (MOS), subjective methods, objective metrics, video quality mapping, performance evaluation, public video quality databases.

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Section: B Objective Vqa Metricsmentioning

confidence: 99%

A novel methodology for mapping objective video quality metrics to the subjective MOS scale

Moldovan

Ghergulescu

Muntean

2014

2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting

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“…arithmetic average) are used. In a more recent algorithm, the author improved the performance of the algorithm by compressing the side information (Gunawan & Ghanbari, 2008), what results in a reduction of the amount of data that needs to be transmitted or stored.…”

Section: Local Harmonic Strength (Lhs) Metricmentioning

confidence: 99%

Video Quality Metrics

Farias¹

2010

Digital Video

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“…Without verifying a new metric on previously unknown data, the danger of having a metric that is fitted to special videos is quite high. Unfortunately, the calibration and verification data is not always separated explicitly [10,15,19,20,22,23,[34][35][36][37][38][39][40][41][42].…”

Section: Cross Validationmentioning

confidence: 99%

“…The only available data base of videos and related subjective ratings is the comparably old VQEG Phase I data base [6]. Apart from the metrics tested there, only very few metrics were verified on the complete data base [23,41,52,53].…”

Section: Comparison Metricsmentioning

confidence: 99%

Improving the verification process of video quality metrics

Keimel

Oelbaum

Diepold

2009

2009 International Workshop on Quality of Multimedia Experience

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The most important step in the development process of a video quality metric is its verification with regards to the subjective quality experience. Even though guidelines in the form of standards and recommendations are well known, there are still quite often shortcomings in the verification process of many metrics. In this contribution we revisit these rules, point out important details and review contributions to video quality metrics for typical shortcomings. We will highlight in detail five steps that should be followed in order to improve the overall quality of the verification process of video quality metrics: using a large and diverse data base, planing and conducting subjective tests carefully, using different data for calibration and verification of a metric, avoiding unnecessary data fitting steps, and a clear and meaningful presentation of the results. Also we will provide short examples how an improper verification might affect the results of a video quality metric.

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Efficient Reduced-Reference Video Quality Meter

Cited by 40 publications

References 18 publications

A novel methodology for mapping objective video quality metrics to the subjective MOS scale

A novel methodology for mapping objective video quality metrics to the subjective MOS scale

Video Quality Metrics

Improving the verification process of video quality metrics

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