Behavioral directional encoding of three-dimensional video

A system for generating optimal segment parameters for a three-dimensional video comprising:

• one or more processors coupled to a memory;
• a head-tracking module stored in the memory and executable by the one or more processors, the head-tracking module operable to receive head-tracking data that includes yaw, pitch, and roll values that describe one or more positions of one or more people as a function of time while the one or more people are viewing a three-dimensional video;
• a segmentation module stored in the memory and executable by the one or more processors, the segmentation module operable to generate video segments from the three-dimensional video;
• and
• a parameterization module stored in the memory and executable by the one or more processors, the parameterization module operable to, for each of the video segments:
• determine a directional encoding format that projects latitudes and longitudes of locations of a surface of a sphere onto locations on a plane based on the yaw, pitch, and roll values from the head-tracking data;
• determine a cost function that identifies a region of interest on the plane based on the head-tracking data that includes the yaw, pitch, and roll values that describe the one or more positions of the one or more people;
• and
• generate optimal segment parameters that minimize a sum-over position for the region of interest.

A non-transitory computer storage medium encoded with a computer program, the computer program comprising instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• receiving head-tracking data that includes yaw, pitch, and roll values that describe one or more positions of one or more people as a function of time while the one or more people are viewing a three-dimensional video;
• generating video segments from the three-dimensional video;
• and
• for each of the video segments:
• determining a directional encoding format that projects latitudes and longitudes of locations of a surface of a sphere onto locations on a plane based on the yaw, pitch, and roll values from the head-tracking data;
• determining a cost function that identifies a region of interest on the plane based on the head-tracking data that includes the yaw, pitch, and roll values that describe the one or more positions of the one or more people;
• and
• generating optimal segment parameters that minimize a sum-over position for the region of interest.