System, device, and method for determining predicted annoyance level of multimedia content

A non-transitory storage medium having stored thereon instructions that, when executed by one or more processors, cause the one or more processor to perform a method comprising:

• processing content of a plurality of frames of a content-item, and determining a Predicted Annoyance Level (PAL) score that indicates a predicted level of annoyance that said content-item is predicted to cause viewers due to motion of content in said content-item;
• wherein determining the predicted level of annoyance of said content-item is based on:
• (i) a calculated percentage of similar area of content between consecutive frames of the content-item;
• and
• (ii) a number of new objects that are introduced between consecutive frames of the content-item;
• and
• (iii) a level of object motion between consecutive frames of the content-item;
• and
• (iv) a quantification of a level of similarity between the first frame of the content-item and the last frame of the content item.

A system comprising:

• one or more processors, operably associated with one or more memory units,
• wherein the one or more processors are configured:
• to process content of a plurality of frames of a content-item, and
• to generate a Predicted Annoyance Level (PAL) score that indicates a predicted level of annoyance that said content-item is predicted to cause viewers due to motion of content in said content-item;
• wherein the predicted level of annoyance of said content-item is generated based on:
• (i) a calculated percentage of similar area of content between consecutive frames of the content-item;
• and
• (ii) a number of new objects that are introduced between consecutive frames of the content-item;
• and
• (iii) a level of object motion between consecutive frames of the content-item;
• and
• (iv) a quantification of a level of similarity between the first frame of the content-item and the last frame of the content item.