Elemental Technologies, Inc.

Amazon Technologies, Inc.

Samuel S Blackman

Jesse Jerome Rosenzweig

Brian Lewis

Michael J West

A system including one or more cloud computing units and a ground unit. The one or more cloud computing units may be configured to process video content. The ground unit may be configured to pre-process the video content and deliver the video content to the one or more cloud computing units.

Heterogeneous video processing using private or public cloud computing resources

Techniques are disclosed for employing a set of stream processors to greatly accelerate common video encoding and transcoding tasks, with the goal of making these tasks run at a reasonable rate on off-the-shelf hardware. Stream processors are most commonly found in the graphics processing unit (GPU), a commodity piece of computer hardware used to generate images for display. Embodiments of the invention are particularly advantageous to accelerate video encoding and transcoding tasks in which the blocks being processed have dependencies on their neighboring blocks.

Method for efficiently executing video encoding operations on stream processor architectures

A method for real time video transmission over networks with varying bandwidth is described. Image quality is maintained even under degrading network performance conditions through the use of image scaling in conjunction with block based motion compensated video coding (MPEG2/4, H.264, et. Al.). The ability to quickly switch resolutions without decreasing reference frame correlation is shown enabling a fast switch to reduce the required bandwidth for stable image quality.

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Portland, OR, United States of America

Samuel S Blackman