Audiovisual Quality Assessment and Prediction for by Benjamin Belmudez

By Benjamin Belmudez

The paintings offered during this booklet makes a speciality of modeling audiovisual caliber as perceived by way of the clients of IP-based ideas for video conversation like videotelephony. It additionally extends the present framework for the parametric prediction of audiovisual name caliber. The booklet addresses numerous points with regards to the standard belief of whole video calls, specifically, the standard estimation of the only audio and video modalities in an interactive context, the audiovisual caliber integration of those modalities and the temporal pooling of brief sample-based caliber ratings to account for the perceptual caliber effect of time-varying degradations.

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6c. 2. Assessment of long stimuli: The level of impairment of a short stimulus is considered to be approximately stable over its entire duration (time-constant quality). g. g. video scenes of high spatial complexity will tend to exhibit a higher level of blurring due to the high frequencies cut-off). As the content of a short stimulus is considered to be semantically homogenous over time, the temporal profile of the degradation is not taken into account and is supposed stationary. Hence, short stimuli are suited to grasp the magnitude of impairments but are not adapted to study the impact of the impairments’ temporal distribution.

Decoded bitstream). • Hybrid models: A combination of both signal-based models and a bitstream-based models. e. undisturbed) signal. Parametric models belong to the category of NoReference (NR) models as they do not require a reference signal. The signal-based models however can either be NR, Reduced-Reference (RR) if they only require partial information from the reference and the degraded signal or Full-Reference (FR) if they require the original signal in its entirety. Quality models are designed to be used in a specific context: for instance, parametric models can be used during the network planning phase while the bitstream models can be used during the service operation, for monitoring purposes.

This scale has the advantage to produce relatively accurate results with a limited number of subjects and to allow comparison between laboratories. The ACR scale suffers, however, from several shortcomings: it was shown that the labels of the scale are not equidistant on a perceptual continuum [100] and that the distance between labels differs depending on the country (language and culture) [169]. This non-linearity aspect tends to be compensated by assigning a numerical value to each category.

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