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. 01, 2016

Filed:

Dec. 08, 2009
Applicants:

Jiheng Yang, Beijing, CN;

LI Hua Zhu, Burbank, CA (US);

Hui Zhang, Beijing, CN;

Inventors:

Jiheng Yang, Beijing, CN;

Li Hua Zhu, Burbank, CA (US);

Hui Zhang, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 7/12 (2006.01); H04N 19/00 (2014.01); H04N 7/01 (2006.01); H04N 21/2343 (2011.01); H04N 21/4363 (2011.01); H04N 19/48 (2014.01); H04N 7/015 (2006.01);
U.S. Cl.
CPC ...
H04N 19/00 (2013.01); H04N 7/0102 (2013.01); H04N 7/0125 (2013.01); H04N 19/48 (2014.11); H04N 21/234363 (2013.01); H04N 21/234381 (2013.01); H04N 21/43637 (2013.01); H04N 7/0152 (2013.01); H04N 7/0157 (2013.01);
Abstract

Video equipment, e.g. for TV producers studios, need to display multiple channels of bit-streams simultaneously. Decoding multiple streams of high bit-rate videos is extremely computational intensive. An improved method for browsing an encoded frequency domain video sequence comprises steps of determining a spatial and/or temporal reduction level for browsing a video sequence, determining according to the determined reduction level frames, fields or parts of blocks or macroblocks to be skipped for decoding, and decoding the remaining data to a video with lower spatial and/or temporal resolution. The reduction may include adaptive partial coefficient decoding, motion vector truncation and/or simplified deblocking filtering. The reduction of spatial resolution is advantageously performed in the frequency domain, so that the inverse quantization process and the iDCT processes require less computing.


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