US Patent Application 18449877. COLOUR COMPONENT PREDICTION METHOD, ENCODER, DECODER AND STORAGE MEDIUM simplified abstract

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COLOUR COMPONENT PREDICTION METHOD, ENCODER, DECODER AND STORAGE MEDIUM

Organization Name

GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD.

Inventor(s)

JUNYAN Huo of Dongguan (CN)

SHUAI Wan of Dongguan (CN)

YANZHUO Ma of Dongguan (CN)

COLOUR COMPONENT PREDICTION METHOD, ENCODER, DECODER AND STORAGE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18449877 titled 'COLOUR COMPONENT PREDICTION METHOD, ENCODER, DECODER AND STORAGE MEDIUM

Simplified Explanation

The patent application describes a method for predicting color components in a picture using adjacent reference pixels.

  • The method involves determining the adjacent reference pixels of a current block in the picture.
  • A subset of adjacent reference pixels is constructed based on the determined adjacent reference pixels.
  • The subset contains only a portion of the adjacent reference pixels.
  • Model parameters of a prediction model are calculated using the subset of adjacent reference pixels.
  • The prediction model consists of N prediction sub-models, each corresponding to N groups of model parameters.
  • The prediction sub-models are used to perform cross-component prediction of color components to be predicted.


Original Abstract Submitted

Disclosed are a colour component prediction method, an encoder, a decoder, and a storage medium. The method includes: determining adjacent reference pixels of a current block in a picture; constructing a subset of adjacent reference pixels according to the adjacent reference pixels, wherein the subset of adjacent reference pixels contains a part of the adjacent reference pixels; and calculating model parameters of a prediction model according to the subset of adjacent reference pixels, wherein the prediction model includes N prediction sub-models, the N prediction sub-models correspond to N groups of model parameters, and the prediction sub-models are used to perform, through corresponding model parameters, cross-component prediction of colour components to be predicted.

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