The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 23, 2024

Filed:

Feb. 08, 2021
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Krzysztof Potempa, Zurich, CH;

Jyrki Alakuijala, Wollerau, CH;

Robert Obryk, Zurich, CH;

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 19/85 (2014.01); G06F 18/231 (2023.01); G06V 10/762 (2022.01); G06V 10/77 (2022.01); G06V 10/772 (2022.01); H03M 7/30 (2006.01); H04N 19/122 (2014.01); H04N 19/176 (2014.01); H04N 19/625 (2014.01);
U.S. Cl.
CPC ...
H04N 19/85 (2014.11); G06F 18/231 (2023.01); G06V 10/7625 (2022.01); G06V 10/7715 (2022.01); G06V 10/772 (2022.01); H03M 7/3088 (2013.01); H04N 19/122 (2014.11); H04N 19/176 (2014.11); H04N 19/625 (2014.11); H03M 7/3077 (2013.01);
Abstract

An image encoder includes a processor and a memory. The memory includes instructions configured to cause the processor to perform operations. In one example implementation, the operations may include determining whether a dictionary item is available for replacing a block of an image being encoded, the determining based on a hierarchical lookup mechanism, and encoding the image along with reference information of the dictionary item in response to determining that the dictionary item is available. In one more example implementation, the operations may include performing principal component analysis (PCA) on a block to generate a corresponding projected block, the block being associated with a group of images, comparing the projected block with a corresponding threshold, descending the block recursively based on the threshold until a condition is satisfied, and identifying a left over block as a cluster upon satisfying of the condition.


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