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:
Aug. 19, 2014

Filed:

Jan. 25, 2013
Applicant:

Amazon Technologies, Inc., Reno, NV (US);

Inventors:

Jonathan B. Corley, Seattle, WA (US);

David Idris Alexander Sayed, Seattle, WA (US);

Christopher Neil Hawes, Seattle, WA (US);

Bradley Eugene Marshall, Bainbridge Island, WA (US);

James J. Carrig, Seattle, WA (US);

Jeffrey Paul Ramsden, Seattle, WA (US);

Assignee:

Amazon Technologies, Inc., Reno, NV (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06F 7/04 (2006.01); H04N 7/16 (2011.01); G06F 21/10 (2013.01); G06F 21/62 (2013.01); H04L 29/06 (2006.01); G06F 1/00 (2006.01); G06F 15/16 (2006.01); G06F 15/173 (2006.01); G11B 20/00 (2006.01);
U.S. Cl.
CPC ...
G06F 21/6218 (2013.01); G06F 21/10 (2013.01); G11B 20/00086 (2013.01); H04L 2463/101 (2013.01); H04L 63/0428 (2013.01);
Abstract

A transcoding service is described that is capable of transcoding or otherwise processing content, such as video, audio or multimedia content, by utilizing one or more pipelines. A pipeline can enable a user to submit transcoding jobs (or other processing jobs) into an available pipeline, where a transcoding service (or other such service) assigns one or more computing resources to process the jobs received to each pipeline. The transcoding service and the pipelines can be provided by at least one service provider (e.g., a cloud computing provider) or other such entity to a plurality of customers. A service provider can also provide the computing resources (e.g., servers, virtual machines, etc.) used to process the transcoding jobs from the pipelines.


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