Nvidia Corporation

Sangeun Han

Jianjun Chen

Wei Feng

Xi He

Yongmao Tang

Ranga Ramanujam Srinivasan

Disclosed are techniques for compressing data of an image using multiple processing cores. The techniques include obtaining, using a first (second, etc.) processing core, a first (second, etc.) plurality of reconstructed blocks approximating source pixels of a first (second, etc.) portion of an image and filtering, using the first processing core, the first plurality of reconstructed blocks. The filtering includes enabling application of one or more filters to a first plurality of regions that include pixels of the first plurality of reconstructed blocks but not pixels of the second plurality of reconstructed blocks. The filtering further includes disabling application of the one or more filters to a second plurality of regions that include pixels of the first plurality of reconstructed blocks and pixels of the second plurality of reconstructed blocks.

Parallel encoding of video frames without filtering dependency

Disclosed are techniques for compressing data of an image. Intermediate pixels may be determined. Each location of the image may be associated with a block of a plurality of blocks of a first size and a block of a plurality of blocks of a second size. For each block of the first size and of the second size, a first cost for a first mode and a second cost for a second mode may be determined in parallel using the intermediate pixels. A final mode and a final block size may be selected for each location of the image using the first cost and the second cost for each of a respective block of the first size and a respective block of the second size associated with a corresponding location. Final pixels may be determined, and a representation of the image may be obtained based on the final pixels.

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Santa Clara, CA, United States of America

Sangeun Han