US 12,439,065 B2
Hybrid inter-frame coding using an autoregressive model
Maciej Sebastian Pedzisz, Southampton (GB); and Timothy John Borer, Cambridge (GB)
Assigned to Synaptics Incorporated, San Jose, CA (US)
Filed by Synaptics Incorporated, San Jose, CA (US)
Filed on Mar. 27, 2024, as Appl. No. 18/618,936.
Application 18/618,936 is a continuation of application No. 17/960,723, filed on Oct. 5, 2022, granted, now 11,979,587.
Prior Publication US 2024/0244237 A1, Jul. 18, 2024
Int. Cl. H04N 19/30 (2014.01); H04N 19/13 (2014.01); H04N 19/182 (2014.01)
CPC H04N 19/30 (2014.11) [H04N 19/13 (2014.11); H04N 19/182 (2014.11)] 20 Claims
OG exemplary drawing
 
1. A method for classifying image content, comprising:
receiving a plurality of first pixel values associated with a first image in a sequence of images;
receiving a plurality of second pixel values associated with a second image that follows the first image in the sequence of images;
determining an amount of spatial variation among the plurality of first pixel values;
determining an amount of spatial variation among the plurality of second pixel values;
determining an amount of temporal change between the plurality of first pixel values and the plurality of second pixel values;
determining a scaling factor (α) associated with the plurality of second pixel values based on the amount of spatial variation among the plurality of first pixel values, the amount of spatial variation among the plurality of second pixel values, and the amount of temporal change between the plurality of first pixel values and the plurality of second pixel values; and
determining a content type associated with the second image based at least in part on the scaling factor α.