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:
Jan. 08, 2019

Filed:

May. 05, 2010
Applicants:

Liang Liang, San Diego, CA (US);

Szepo R. Hung, San Diego, CA (US);

Inventors:

Liang Liang, San Diego, CA (US);

Szepo R. Hung, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 11/02 (2006.01); H04N 19/523 (2014.01); H04N 19/119 (2014.01); H04N 19/172 (2014.01); H04N 19/115 (2014.01); H04N 19/61 (2014.01); H04N 19/107 (2014.01); H04N 19/109 (2014.01); H04N 19/124 (2014.01); H04N 19/132 (2014.01); H04N 19/154 (2014.01); H04N 19/179 (2014.01);
U.S. Cl.
CPC ...
H04N 19/523 (2014.11); H04N 19/107 (2014.11); H04N 19/109 (2014.11); H04N 19/115 (2014.11); H04N 19/119 (2014.11); H04N 19/124 (2014.11); H04N 19/132 (2014.11); H04N 19/154 (2014.11); H04N 19/172 (2014.11); H04N 19/179 (2014.11); H04N 19/61 (2014.11);
Abstract

This disclosure describes techniques for improving functionalities of a video encoder, using parameters detected and estimated by a front-end video capture device. The techniques may involve estimating a blurriness level associated with frames captured during a refocusing process. Based on the estimated blurriness level, the quantization parameter (QP) used to encode blurry frames is adjusted either in the video capture device or in the video encoder. The video encoder uses the adjusted QP to encode the blurry frames. The video encoder also uses the blurriness level estimate to adjust encoding algorithms by simplifying motion estimation and compensation in the blurry frames.


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