IP Library › Granted Patent US 11,233,987
Granted Patent B2
US 11,233,987 · App. 16/934,235 · Granted Jan 25, 2022

Encoding method, decoding method, encoding apparatus, decoding apparatus, and encoding and decoding apparatus

Inventors: Han Boon Teo (Singapore, SG); Chong Soon Lim (Singapore, SG); Takahiro Nishi (Nara, JP); Kengo Terada (Osaka, JP); Tadamasa Toma (Osaka, JP)
Assignee: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.
H04N19/103G06N20/00H04N19/11H04N19/117H04N19/136H04N19/14H04N19/176H04N19/46H04N19/82
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Quick Facts
Patent No.
US 11,233,987
App. No.
16/934,235
Granted
Jan 25, 2022
Kind
B2
Abstract

To provide an encoding method for reducing deterioration in encoding efficiency when encoding a video/an image by selecting one operation mode out of a number of operation modes. The encoding method includes: extracting one or more features from one or more reconstructed pixel groups; categorizing the one or more reconstructed pixel groups using the extracted one or more features and a first machine learning model; and performing an encoding process on a current block of image samples included in a current picture using a parameter set corresponding to a result of the categorizing, the parameter set being one of a plurality of predefined parameter sets.

Claims (9)

1. An encoding method, comprising:

extracting one or more features from one or more reconstructed pixel groups;

categorizing the one or more reconstructed pixel groups using the extracted one or more features and a first machine learning model; and

writing a first control parameter to a header of a bitstream; and

performing an encoding process on a current block of image samples included in a current picture using a parameter set corresponding to a result of the categorizing, the parameter set being one of a plurality of predefined parameter sets,

wherein when the written first control parameter does not have a predefined value, the categorizing of the one or more reconstructed pixel groups is performed using the extracted one or more features and the first machine learning model, and

wherein when the written first control parameter has the predefined value,

the encoding method further comprises writing a second control parameter for modifying the first machine learning model to the header of the bitstream, and modifying the first machine learning model using the second control parameter, and

the categorizing the one or more reconstructed pixel groups is performed using the extracted one or more features and the modified first machine learning model.

Priority Claims (1)
JP 2016-018397 · Feb 2, 2016 · national
Continuity (4)
Continuation 15739927
Provisional Application 62187502 · Jul 1, 2015
Provisional Application 62187494 · Jul 1, 2015
Related Publication 20200351492A1 · Nov 5, 2020