Automatic generation of semantic-based cinemagraphs

A computer-implemented process for evaluating the attractiveness of a looped image sequence, comprising:

• using a computing device for:
• receiving a set of training candidates of looped image sequences for determining a human subjective quality rating of a looped image sequence;
• automatically extracting a plurality of features from each training candidate in the set of training candidates;
• receiving a human subjective quality rating for each of the training candidates;
• generating a predictive model that evaluates the subjective attractiveness of a cinemagraph from a combination of the features extracted from each training candidate and the corresponding human subjective quality ratings of the training candidate.

A system for generating a cinemagraph of one or more video loops, comprising:

• a cinemagraph generator comprising one or more computing devices, said computing devices being in communication with each other via a computer network whenever there is a plurality of computing devices, and a computer program having a plurality of sub-programs executable by said computing devices, wherein the sub-programs configure said computing devices for,
• receiving semantic object labels extracted from an input video as candidate objects to animate;
• generating candidate loops of the selected candidate objects;
• selecting one or more of the candidate loops to be used to create the cinemagraph;
• and
• creating a cinemagraph from the selected candidate loops.