Framework for the proposed VQA method.

<p>Framework for the proposed VQA method.</p

Parameter determinations in the proposed VQA method.

<p>(a) Tuning Performance of <i>ω</i>₁. (b) Tuning Performance of <i>a</i>⁺ and <i>a</i>^-.</p

Training set from randomly selected temporal LPCs

<p>Training set from randomly selected temporal LPCs</p

Scatter plots of proposed VQA metric.

<p>All distortion types in LIVE video databases are listed.</p

PLCC comparison for each module of the proposed VQA method.

<p>PLCC comparison for each module of the proposed VQA method.</p

Performance comparison on the LIVE VQA database.

<p>Performance comparison on the LIVE VQA database.</p

The original frames and the corresponding results of MCTF of the first GoF in video “Pedestrian Area” form the LIVE database.

<p>(a) 1^st GoF in “Pedestrian Area”. (b) Temporal Low-pass component. (c) Temporal High-pass component.</p

Performance indicators of proposed VQA method with different GoF numbers.

<p>Performance indicators of proposed VQA method with different GoF numbers.</p

Performance on separate types of distortion.

<p>Performance on separate types of distortion.</p