Outer Rim Archives
Archives · 2022 · 20220215595

Application (pre-grant publication)

SYSTEMS AND METHODS FOR IMAGE COMPRESSION AT MULTIPLE, DIFFERENT BITRATES

Number
20220215595
Published
2022-07-07
Filed
2022-03-25
Assignee
DISNEY ENTERPRISES, INC.
Inventors
SCHROERS; Christopher, DOGGETT; Erika, MANDT; Stephan, MCPHILLEN; Jared, LABROZZI; Scott, WEBER; Romann, BAMERT; Mauro
CPC
H04N19/50; G06T9/20; H04N19/124; H04N19/147
Verdict
Set aside image/video compression codec
Source
Google Patents · FreePatentsOnline

Abstract

Systems and methods for predicting a target set of pixels are disclosed. In one embodiment, a method may include obtaining target content. The target content may include a target set of pixels to be predicted. The method may also include convolving the target set of pixels to generate an estimated set of pixels. The method may include matching a second set of pixels in the target content to the target set of pixels. The second set of pixels may be within a distance from the target set of pixels. The method may include refining the estimated set of pixels to generate a refined set of pixels using a second set of pixels in the target content.

Background

TECHNICAL FIELD

The present disclosure relates generally to image compression. BRIEF SUMMARY OF THE DISCLOSURE

Embodiments of the disclosure are directed to systems and methods for predicting a target set of pixels.

In one embodiment, a computer-implemented method may be implemented in a computer system that includes non-transient electronic storage and one or more physical computer processors. The computer-implemented method may include obtaining, from the non-transient electronic storage, target content that includes the target set of pixels to be predicted. The computer-implemented method may include convolving, with the one or more physical computer processors, the target set of pixels to generate an estimated set of pixels. The computer-implemented method may include matching, with the one or more physical computer processors, a second set of pixels in the target content to the target set of pixels. The second set of pixels is within a distance from the target set of pixels. The computer-implemented method may include refining, with the one or more physical computer processors, the estimated set of pixels to generate a refined set of pixels using a second set of pixels in the target content.

In embodiments, the computer-implemented method may further include generating, with the one or more physical computer processors, a residual between the refined set of pixels and the target set of pixels.

In embodiments, refining the estimated set

Claims

1. A computer-implemented method for compressing target content, the method comprising: selecting a target set of pixels from a plurality of pixels included in a target content; generating, using a prediction model, an estimated set of pixels based on the target set of pixels; matching the target set of pixels to a second set of pixels included in the plurality of pixels; and refining the estimated set of pixels based on the second set of pixels to generate a refined set of pixels. || 11. One or more non-transitory computer-readable medium including instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of: selecting a target set of pixels from a plurality of pixels included in a target content; generating, using a prediction model, an estimated set of pixels based on the target set of pixels; matching the target set of pixels to a second set of pixels included in the plurality of pixels; and refining the estimated set of pixels based on the second set of pixels to generate a refined set of pixels. || 20. A system comprising: one or more memories storing instructions; and one or more processors that are coupled to the one or more memories and, when executing the instructions, are configured to: select a target set of pixels from a plurality of pixels included in a target content; generate, using a prediction model, an estimated set of pixels based on the target set of pixels; match the target set of pixels to a second set of pixels included in the plurality of pixels; and refine the estimated set of pixels based on the second set of pixels to generate a refined set of pixels.