A general parametric model for perceptual video quality estimation

Joskowicz, José; López-Ardao, J. C.

doi:10.1109/cqr.2010.5619912

Cited by 24 publications

(13 citation statements)

References 8 publications

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“…The input for planning models includes the quality planning parameters of networks or terminals. Such models can be applied to network planning and terminal/application design [22]. In our view, hybrid models that use quantitative (objective) and qualitative (subjective) inputs are particularly interesting for QoE evaluation.…”

Section: Figure 2 -Criteria For Choosing the Evaluation Methods (Basedmentioning

confidence: 99%

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State-of-the-Practice in Evaluation of Quality of Experience in Real-Life Environments

Matulin¹,

Mrvelj²

2013

PROMET

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Section: Figure 2 -Criteria For Choosing the Evaluation Methods (Basedmentioning

confidence: 99%

“…QoE is a measure of end-to-end performance at the services level from the user perspective and an indication of how well the system meets the user's needs" [7]. Similar to the QoE definition of DSL forum experts, Joskowicz et al in [22] [24].…”

Section: Definitions Of Quality Of Experiencementioning

confidence: 99%

State-of-the-Practice in Evaluation of Quality of Experience in Real-Life Environments

Matulin¹,

Mrvelj²

2013

PROMET

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“…Other model forms can also be found, such as the "m-n model" [17], as well as the exponential model [12], [18]. A detailed performance comparison of those models is provided in [19], where superior performance of the enhanced G.1070 model is observed.…”

Section: Introduction 2 Packet-layer Model For Video Quality Assessmentmentioning

confidence: 99%

“…However, it is not described how to obtain the information about movement content for each video clip based on objective parameters [18]. Although the average SAD (sum of absolute differences) can be employed in [19] to reflect the motion characteristic of video content, this value is not available for a packet-layer model. Figure 3, it can be seen that the video clip which has a higher motion complexity such as "Football" has a comparatively lower quality at the same bit-rate.…”

Section: Introduction 2 Packet-layer Model For Video Quality Assessmentmentioning

confidence: 99%

“…Building on this argument, video clips are classified into three classes according to the subjective movement content (High, Medium and Low movement content), and the model parameters are calculated for each class [18], [19]. However, it is not described how to obtain the information about movement content for each video clip based on objective parameters [18].…”

Section: Introduction 2 Packet-layer Model For Video Quality Assessmentmentioning

confidence: 99%

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Packet-Layer Quality Assessment for Networked Video

Yang

Song

2014

INT J COMPUT COMMUN

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Abstract:To realize real-time and non-intrusive quality monitoring for networked video, a content-adaptive packet-layer model for quality assessment is proposed. Considering the fact that the coding distortion of a video is dependent not only on the bit-rate but also on the motion characteristic of the video content, temporal complexity is evaluated and incorporated in quality assessment in the proposed model. Since very limited information is available for a packet-layer model, an adaptive method for frame type detection is first applied. Then the temporal complexity which reflects the motion characteristic of the video content is estimated using the ratio of the bit-rate for coding I frames and P frames. The estimated temporal complexity is incorporated in the proposed model, making it adaptive to different video content. Experimental results show that the proposed model achieves an advanced performance in comparison with the ITU-T G.1070 model.

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Quality of experience for unified communications: A survey

et al. 2019

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SummaryThis paper presents a quality of experience (QoE) conceptual model to the context of unified communications (UC) through summary, classification, and discussion of multiple influence factors (IFs) and dimensions affecting it. A deep and comprehensive understanding of the IFs and their impact on QoE for a given service is an essential precondition for successful QoE management with the overall goal of prominently optimizing end‐user QoE, while making efficient use of network resources and maintaining a satisfied user base. The proposed conceptual model was used to conduct a qualitative meta‐analytical review of selected papers. The results of the qualitative review include various IFs, QoE dimensions, and key findings in the form of research recommendations for QoE in the context of UC.

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A general parametric model for perceptual video quality estimation

Cited by 24 publications

References 8 publications

State-of-the-Practice in Evaluation of Quality of Experience in Real-Life Environments

State-of-the-Practice in Evaluation of Quality of Experience in Real-Life Environments

Packet-Layer Quality Assessment for Networked Video

Quality of experience for unified communications: A survey

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