Ati Technologies Ulc

Crystal Sau

Gabor Sines

Ihab Amer

Feng Pan

Wei Gao

Yang Liu

Dong Liu

Mingkai Shao

Haibo Liu

Edward A Harold

Ying Luo

Shu-Hsien Wu

Minghao Zhu

To leverage an amount of unused bandwidth at a hardware encoder to generate motion estimation data, a processing unit includes a hardware encoder configured to perform a first encoding job including encoder sessions to encode a captured frame, determine motion estimation data for a rendered frame, and encode the rendered frame. Further, the processing unit includes a pre-processing circuitry configured to determine a set of motion estimation parameters based on an encoder delay associated with the performance of the first encoding job by the hardware encoder. The hardware encoder is then configured to perform a second encoding job using the determined set of motion estimation parameters.

Dynamic motion estimation parameter modification for video encoding

An encoder encodes an image portion by recursively partitioning the portion into a partitioning hierarchy of levels. The top level has a single block representing the entire portion and each lower level has four smaller blocks representing a corresponding larger block at a higher level. A palette table is generated for each bottom-level block based on the pixels of the associated block. For each successively higher level, the encoder generates a palette table for each current-level block by selecting palette colors based on the palette colors from the four palette tables for the associated four blocks at the next-lowest level. A color index map is then generated based on a final palette table selected from the palette tables generated for the partitioning hierarchy. A representation of the portion is then encoded using the final palette table and the color index map to generate a corresponding segment of an encoded bitstream.

Palette mode video encoding utilizing hierarchical palette table generation

Calculating, for each frame of a plurality of frames, a corresponding quality value; calculating, for each frame of the plurality of frames, based on one or more visual attributes of a frame, a weight for the corresponding quality value of the frame; calculating an aggregate quality value for the plurality of frames based on the weight and the corresponding quality value for each frame of the plurality of frames; and providing an assessment of the plurality of frames based on the aggregate quality value for the plurality of frames.

Video quality assessment using aggregated quality values

Methods and apparatus provide cloud-based video encoding that generates encoded video data by one or more encoders in a cloud platform for a plurality of cloud encoding sessions. The methods and apparatus generate operational improvement tradeoff data in response to operational encoding metrics associated with the one or more encoders and change operational characteristics of the one or more encoders for at least one of the cloud encoding sessions based on the operational improvement tradeoff data.

Method and apparatus for providing cloud-based video encoding

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Markham, Canada

Crystal Sau