Audiovisual Quality Assessment and Prediction for by Benjamin Belmudez

By Benjamin Belmudez

The paintings provided during this booklet makes a speciality of modeling audiovisual caliber as perceived by means of the clients of IP-based strategies for video communique like videotelephony. It additionally extends the present framework for the parametric prediction of audiovisual name caliber. The booklet addresses a number of elements relating to the standard notion of complete video calls, particularly, 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 rankings to account for the perceptual caliber impression of time-varying degradations.

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Extra resources for Audiovisual Quality Assessment and Prediction for Videotelephony

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At the end of the sequence, they are asked to rate the overall quality on a 5-point ACR scale. This method implies however that the cognitive resources of the assessors are shared between the activity of viewing and the one of evaluating the perceived quality. It was shown that it could be a source of distraction and disturb the assessment process [49]. Further work on the methodologies used for assessing time-varying quality of audiovisual material has been done by Jumisko-Pyykkö in [105]. She proposes a simplified continuous assessment method where test participants have to press a button whenever they judge that the quality becomes unacceptable.

5 Audiovisual Quality Prediction Models 29 class of application were included in the model, namely the “Television Model”, “the General Model” and the “Video Conferencing Model”. e. based on the assessment of short “head-and-shoulders” audiovisual sequences. The coding related artifacts taken into account by the General Model are: blurring, block distortions, jerky/unnatural motion, noise in luminance and chrominance channels, and error blocks. The model decomposes the video clip into spatio-temporal blocks on which quality features extracted from spatial gradients are computed.

G. coarse quantization). 14 1 Audiovisual Quality for Interactive Communication • Ringing: is seen as a sort of shimmering outwards from the edge up to the encompassing block boundary. It is linked to the Gibb’s phenomenon and thus mostly evident around high contrast edges. • Mosaïc patterns: is linked to the blocking effect and manifests itself as a macroblock not fitting the content of the neighboring blocks, like a misfitting piece of a puzzle. • Mosquito effect: this temporal artifact is described by superimposed moving artifacts due to the fluctuation of the luminance or chrominance components in a contrasted area.

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