Automatic sequencing of video playlists based on mood classification of each video and video cluster transitions

A computer program product for sequencing videos in a given playlist, the computer program product comprising a non-transitory computer-readable storage medium containing computer program code for:

• extracting mood descriptors from adjectives associated with playlists in a video repository, the mood descriptors providing a summary of musical attributes of most videos each playlist;
• identifying curated playlists among the playlists in the video repository, the curated playlists being ordered by a user;
• training a classifier from the extracted mood descriptors;
• generating dimensional mood features for each video in the curated playlists based on the trained classifier;
• clustering the dimensional mood features;
• mapping each video in each curated playlist to a cluster;
• generating a transition matrix describing a frequency of transitions between the clusters for each curated playlist;
• and
• sequencing the given playlist using at least one of digraph routing, sampling and random walk sequencing methods and based on the generated transition matrix.