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ATIS Webinar:
DRM Impact on IPTV Service Quality
October 18, 1 pm ET. Listen
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IPTV QoS Task Force
AND the IIF (IPTV Interoperability Forum)
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Solutions > Perceptual Video Quality
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Symmetricom’s V-Factor QoE Platform:
Perceptual Video Quality |
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Determining perceptual video quality of experience (QoE) encompasses much more than having visibility to network performance. Traditional QoS-based quality measurements do not capture visual perception, as they are based on mainly network data and are not application-driven. These approaches suffer from the following fundamental problems:
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Related Information
White Paper
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- Not all impairments are equal. Traditional QoS quality measurements are distortion-agnostic and distortions may be more or less apparent to the viewer depending on their type and properties.
- The impact of impairments is content dependent. Traditional quality measurements are content-agnostic and viewer perception varies based on the part of the image or video where the distortion occurs.
The human vision system is a critical component for understanding actual video QoE. Symmetricom has developed V-Factor, a sophisticated perceptual video quality monitoring solution that goes beyond QoS for complete and accurate QoE management.
Unlike network-based service assurance solutions that monitor network data, some TS-level information and attempt to predict end-user experience, perceptual video quality monitoring looks into the actual video content. In doing so, this solution combines content impairment data with network information, filters the results though a sophisticated human vision system (HVS) model, to provide a simple, yet accurate video quality score.
Perceptual video quality monitoring includes the following to ensure a complete representation of actual video quality.
- Detects all quality impairments. V-Factor analyzes impairments from encoders, decoders, IP network, and source content impairments. Codec, streamer and compression impairments are all efficiently detected and qualified for user experience.
- Determines actual impacts. Monitoring the sheer amount of loss, delay or jitter is not enough. V-Factor determines which packets are being impacted, and by how much, to assess potential effect on quality. For example in MPEG2, Intra (I) Frames are used as reference for the creation of Bidirectional (B) Frames and Predictive (P) Frames thus loss of, or significant impairment to, I-Frames propagates to B/P Frames, critically impacting video quality.
- Quantifies perceptual effects. V-Factor’s MOS scores considers key perceptual metrics and their relative importance to the end user quality of experience so that meaningful ratings can be generated.
Additionally, the human eye notices variations of brightness more than color variations and as such is not as sensitive to high frequency chrominance (color) components as luminance (intensity) components. These and other factors are incorporated into the model to create accurate and meaningful V-Factor perceptual quality ratings.
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