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:
Feb. 09, 2016

Filed:

Sep. 25, 2006
Applicants:

Fang Shi, San Diego, CA (US);

Seyfullah Halit Oguz, San Diego, CA (US);

Sumeet Singh Sethi, San Diego, CA (US);

Vijayalakshmi R. Raveendran, San Diego, CA (US);

Inventors:

Fang Shi, San Diego, CA (US);

Seyfullah Halit Oguz, San Diego, CA (US);

Sumeet Singh Sethi, San Diego, CA (US);

Vijayalakshmi R. Raveendran, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 7/32 (2006.01); H04N 7/12 (2006.01); H04N 11/04 (2006.01); H04N 11/02 (2006.01); G06K 9/36 (2006.01); H04N 7/01 (2006.01); H04N 19/46 (2014.01); H04N 19/61 (2014.01); H04N 19/132 (2014.01); H04N 19/137 (2014.01); H04N 19/44 (2014.01); H04N 19/23 (2014.01); H04N 19/527 (2014.01); H04N 19/537 (2014.01); H04N 19/543 (2014.01); H04N 19/587 (2014.01); H04N 19/577 (2014.01); H04N 19/513 (2014.01);
U.S. Cl.
CPC ...
H04N 7/0137 (2013.01); H04N 19/132 (2014.11); H04N 19/137 (2014.11); H04N 19/23 (2014.11); H04N 19/44 (2014.11); H04N 19/46 (2014.11); H04N 19/521 (2014.11); H04N 19/527 (2014.11); H04N 19/537 (2014.11); H04N 19/543 (2014.11); H04N 19/577 (2014.11); H04N 19/587 (2014.11); H04N 19/61 (2014.11);
Abstract

An Encoder Assisted Frame Rate Up Conversion (EA-FRUC) system that utilizes various motion models, such as affine models, in addition to video coding and pre-processing operations at the video encoder to exploit the FRUC processing that will occur in the decoder in order to improve the modeling of moving objects, compression efficiency and reconstructed video quality. Furthermore, objects are identified in a way that reduces the amount of information necessary for encoding to render the objects on the decoder device.


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