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:
Mar. 22, 2016

Filed:

Jan. 21, 2014
Applicant:

Vixs Systems, Inc., Toronto, CA;

Inventors:

Ying Li, Richmond Hill, CA;

Xu Gang Zhao, Maple, CA;

Assignee:

ViXS Systems, Inc., Toronto, CA;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 19/42 (2014.01); H04N 19/139 (2014.01); H04N 19/11 (2014.01); H04N 19/176 (2014.01); H04N 19/136 (2014.01); H04N 19/147 (2014.01); H04N 19/51 (2014.01); H04N 19/196 (2014.01); H04N 19/105 (2014.01); H04N 19/14 (2014.01); H04N 19/172 (2014.01); H04N 19/182 (2014.01);
U.S. Cl.
CPC ...
H04N 19/00042 (2013.01); H04N 19/00024 (2013.01); H04N 19/00139 (2013.01); H04N 19/00157 (2013.01); H04N 19/00175 (2013.01); H04N 19/00266 (2013.01); H04N 19/00278 (2013.01); H04N 19/00303 (2013.01); H04N 19/00369 (2013.01); H04N 19/00696 (2013.01);
Abstract

An intra-prediction module includes an intra-prediction preprocessor configured to process pixel data from blocks of picture data to determine edge strength data and edge angle range data corresponding to a plurality of pixels of the blocks, and further to generate intra-prediction candidate data based on the edge strength data and the edge angle range data. The intra-prediction candidate data indicates a first subset selected from a plurality of intra-prediction partitions and a second subset selected from a plurality of intra-prediction modes. A rate distortion optimization processor determines final intra-prediction data, based on the intra-prediction candidate data.


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