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. 05, 2016

Filed:

Jan. 21, 2014
Applicant:

The Regents of the University of California, Oakland, CA (US);

Inventors:

Kenneth Rose, Ojai, CA (US);

Jingning Han, Santa Barbara, CA (US);

Vinay Melkote, San Mateo, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 19/33 (2014.01); H04N 19/503 (2014.01); H04N 19/13 (2014.01); H04N 19/124 (2014.01); H04N 19/187 (2014.01); H04N 19/48 (2014.01); H04N 19/547 (2014.01); H04N 19/59 (2014.01); H04N 19/61 (2014.01); H04N 19/196 (2014.01);
U.S. Cl.
CPC ...
H04N 19/33 (2014.11); H04N 19/124 (2014.11); H04N 19/13 (2014.11); H04N 19/187 (2014.11); H04N 19/48 (2014.11); H04N 19/503 (2014.11); H04N 19/547 (2014.11); H04N 19/59 (2014.11); H04N 19/196 (2014.11); H04N 19/61 (2014.11);
Abstract

A method and apparatus provide the ability to resample video frame into various resolutions, and to predict, quantize, and entropy code the video signal for spatially scalable compression and networking applications. The solution involves a unified re-sampling and estimation-theoretic prediction, quantization, and entropy coding framework, which by design is tailored to allow base layer coding information to be fully accessible and usable by enhancement layers; and for the enhancement layer to account for all available information from both layers for superior compression performance. Specialization may include specific techniques for coding and networking scenarios, where the potential of the unified resampling and estimation-theoretic framework is realized to considerably improve the overall system performance over existing schemes.


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