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. 16, 2024

Filed:

May. 03, 2018
Applicant:

University of Washington, Seattle, WA (US);

Inventors:

Mehmet Sarikaya, Seattle, WA (US);

Burak Berk Ustundag, Seattle, WA (US);

Assignee:

University of Washington, Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 17/15 (2006.01); G06F 17/17 (2006.01); H04B 1/66 (2006.01); H04L 69/04 (2022.01); G10L 19/02 (2013.01); G10L 25/30 (2013.01); H04N 19/42 (2014.01);
U.S. Cl.
CPC ...
H04L 69/04 (2013.01); G06F 17/15 (2013.01); G06F 17/17 (2013.01); G06N 20/00 (2019.01); H04B 1/66 (2013.01); G10L 19/02 (2013.01); G10L 25/30 (2013.01); H04N 19/42 (2014.11);
Abstract

Examples of biomimetic codecs and biomimetic coding techniques are described herein. Morphologically-adaptive coding networks can be developed in accordance with energy dissipation driven 'heat' generated by application of training data. The morphologically-adaptive coding networks may be representative of common features expected in an input signal or data stream. Decoding may proceed using the morphologically-adaptive coding network. Morphologically-adaptive coding networks may be used as a cortex that can be shared for boosting multimedia data compression rates and/or increasing the encode-decode fidelity of information content while the features remain queryable in encoded form. Examples of the biomimetic codecs and biomimetic coding techniques provide a broad-based technology platform that can be used in context-IDed multimedia storage, pattern recognition, and high-performance computing/big data management, the hallmarks of web- and cloud-based systems.


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