Method and system for video and film recommendation
An artificial intelligence video analysis recommendation system and method is provided that allows video viewers to discover new videos and video producers to evaluate the potential success of a new project as well as to understand the perceptual factors beneath audience ratings. The system and method accomplish these tasks by analyzing a database of video in order to identify key similarities between different pieces of video, and then recommends pieces of video to a user depending upon their video preferences. An embodiment enables a user to evaluate a new video's similarity to videos already established as commercially valuable.
1. A method of analyzing videos, said method comprising the steps of:
a) providing a digital database comprising a plurality of videos stored as digital video files;
b) selecting one of said video files for analysis;
c) dividing said selected video file into a plurality of discrete parts;
d) using processing techniques on each part of said selected video file to establish a plurality of coefficients, wherein said coefficients are representative of predetermined quantifiable characteristics of said selected video, and wherein said processing techniques extract a plurality of video descriptors, including perceptual and cognitive descriptors, audio descriptors, and metadata;
e) establishing correlations among the video descriptors, audio descriptors, and metadata and determining a representative value of the coefficients for each characteristic from each said part of said selected video file;
f) compiling a video vector comprising a sequential list of said representative values of the coefficients for each said characteristic for said selected video file; and
(g) repeating steps b) through f) for each video in said database.
2. The method according to claim 1 , wherein the characteristics are selected from the group consisting of:
static image analysis;
optical flow and image moments;
script analysis;
music;
sound; and
combinations of the above and how each characteristic and relevant parameter combinations change over time.