Methods of video quality assessment using parametric and pixel level models

An apparatus for performing a video quality assessment (VQA) comprising:

• at least one memory storing computer program code;
• and
• at least one processor configured to access the at least one memory and operate as instructed by the computer program code, the computer program code comprising:
• obtaining code configured to cause the at least one processor to obtain a plurality of images of a video, the plurality of images being divided into one or more groups;
• first determining code configured to cause the at least one processor to determine first images among the plurality of images to which a parametric-based VQA is to be applied, the first images being all of the plurality of images, and determine a first score based on applying the parametric-based VQA to each of the first images;
• second determining code configured to cause the at least one processor to determine second images among the plurality of images to which a sample-based VQA is to be applied, and determine a second score based on applying the sample-based VQA to each of the second images;
• and
• output code configured to cause the at least one processor to output a final score for at least one image based on the first score and the second score.

A non-transitory computer-readable storage medium storing computer program code, the computer program code, when executed by at least one processor, the at least one processor is configured to:

• obtain a plurality of images of a video, the plurality of images being divided into one or more groups;
• determine first images among the plurality of images to which a parametric-based VQA is to be applied, the first images being all of the plurality of images, and determine a first score based on applying the parametric-based VQA to each of the first images;
• determine second images among the plurality of images to which a sample-based VQA is to be applied, and determine a second score based on applying the sample-based VQA to each of the second images;
• and
• output a final score for at least one image based on the first score and the second score.