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:
May. 26, 2015

Filed:

Aug. 28, 2012
Applicants:

Pete Mountanos, Redmond City, CA (US);

Anand Ramasubramanian, Pleasanton, CA (US);

Grant Mohr, Burlingame, CA (US);

Eduardo Takahashi, Redmond, WA (US);

Donal Toomey, San Francisco, CA (US);

Inventors:

Pete Mountanos, Redmond City, CA (US);

Anand Ramasubramanian, Pleasanton, CA (US);

Grant Mohr, Burlingame, CA (US);

Eduardo Takahashi, Redmond, WA (US);

Donal Toomey, San Francisco, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04N 7/16 (2011.01); H04N 21/854 (2011.01); H04N 21/454 (2011.01); H04N 21/8352 (2011.01); H04N 21/845 (2011.01); G11B 27/00 (2006.01);
U.S. Cl.
CPC ...
H04N 21/85406 (2013.01); H04N 21/4542 (2013.01); H04N 21/8352 (2013.01); H04N 21/8456 (2013.01); G11B 27/00 (2013.01);
Abstract

Example apparatus and methods concern selectively accepting or rejecting content based on ratings identifier information included in the content. Example apparatus and methods facilitate identifying a content fragment (e.g., f-MP4 fragment) to be rejected based on an identifier located in the fragment rather than information located in some external source (e,g., Event Information Table (EIT)). One example method includes identifying a fragment based on a ratings identifier encoded as a universally unique identifier (UUID) in the fragment and then selectively accepting or rejecting the fragment based on the rating. Rather than rely only on a predicted start time, a predicted end time, a predicted source, and a pre determined coarse-grained rating, example apparatus and methods may be better prepared to account for unanticipated start times, ending times, schedule changes, and source changes, and may provide finer grained user control based on ratings carried in content.


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