Abstract: Methods, articles, and systems of video coding use intra block copying with hash-based searches.

Abstract: Biguanide compounds of formula where R1 comprises a cubanyl-substituted alkyl and R2 comprises a substituted or unsubstituted alkyl, and their use in the treatment of cancers and viral infections are described.

Abstract: One embodiment provides a graphics processor comprising a block of execution resources, a cache memory, a cache memory prefetcher, and circuitry including a programmable neural network unit, the programmable neural network unit comprising a network hardware block including circuitry to perform neural network operations and activation operations for a layer of a neural network, the programmable neural network unit addressable by cores within the block of graphics cores and the neural network hardware block configured to perform operations associated with a neural network configured to determine a prefetch pattern for the cache memory prefetcher.

Abstract: One embodiment provides for a graphics processor comprising a block of graphics compute units, a graphics processor pipeline coupled to the block of graphics compute units, and a programmable neural network unit including one or more neural network hardware blocks. The programmable neural network unit is coupled with the block of graphics compute units and the graphics processor pipeline. The one or more neural network hardware blocks include hardware to perform neural network operations and activation operations for a layer of a neural network. The programmable neural network unit can configure settings of one or more hardware blocks within the graphics processor pipeline based on a machine learning model trained to optimize performance of a set of workloads.

Abstract: The disclosed computer-implemented method may include combining a first video sequence with a second video sequence to generate a combined video sequence. A video complexity of the first video sequence may differ from that of the second video sequence. The method may also include performing, using a baseline encoder, encoding parameter optimization on the combined video sequence to generate a baseline performance curve and performing, using a target encoder, encoding parameter optimization on the combined video sequence to generate a target performance curve. The method may further include analyzing the target encoder by comparing the target performance curve with the baseline performance curve, and generating a bitrate ladder for the target encoder based on the analysis, wherein the bitrate ladder includes desired bitrate-resolution pairs for encoding. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Example apparatus to encode video disclosed herein include an encoder to perform an intra search first stage based on source pixels of a source video frame to determine first intra candidates to predict a block of the source video frame. In disclosed examples, the encoder is also to perform an intra search second stage based on reconstructed pixels of neighboring blocks associated with the first intra candidates to determine a second intra candidate. In disclosed examples, the encoder is further to encode the block of the source video frame based on the second intra candidate.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to encode and decode video using quantization matrices. An example apparatus includes interface circuitry to access an input frame of video, quantization matrix syntax encoder circuitry to encode a set of user-defined quantization matrices into a sequence header associated with a sequence of video frames including the input frame, adaptive quantization matrix selector circuitry to select a subset of quantization matrices from a combination of a set of default quantization matrices and the set of user-defined quantization matrices, adaptive segment selector circuitry to select a first one of the subset of quantization matrices for a first segment of the input frame, the input frame to be divided into a plurality of segments including the first segment, and encoder circuitry to quantize transform coefficients of the first segment of the input frame based on the first one of the subset of quantization matrices.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for multi-symbol equiprobable mode entropy coding. An example apparatus includes equiprobable bypass control circuitry to determine whether an input value associated with the one or more blocks is greater than a reference value. The example apparatus also includes interval control circuitry to, based on the determination, adjust at least one of an upper limit or a lower limit based on an approximate value approximating a product of (1) a quotient of (a) a difference between the alphabet size and one and (b) the alphabet size and (2) the upper limit, the upper limit and the lower limit forming a range of values within which the input value is to be encoded.

Abstract: One embodiment provides for a graphics processor comprising a block of graphics compute units, a graphics processor pipeline coupled to the block of graphics compute units, and a programmable neural network unit including one or more neural network hardware blocks. The programmable neural network unit is coupled with the block of graphics compute units and the graphics processor pipeline. The one or more neural network hardware blocks include hardware to perform neural network operations and activation operations for a layer of a neural network. The programmable neural network unit can configure settings of one or more hardware blocks within the graphics processor pipeline based on a machine learning model trained to optimize performance of a set of workloads.

Abstract: One embodiment provides for a graphics processor comprising a block of graphics compute units, a graphics processor pipeline coupled to the block of graphics compute units, and a programmable neural network unit including one or more neural network hardware blocks. The programmable neural network unit is coupled with the block of graphics compute units and the graphics processor pipeline. The one or more neural network hardware blocks include hardware to perform neural network operations and activation operations for a layer of a neural network. The programmable neural network unit can configure settings of one or more hardware blocks within the graphics processor pipeline based on a machine learning model trained to optimize performance of a set of workloads.

Abstract: Techniques related to video coding include content adaptive quantization that provides a selection between objective quality and subjective quality delta QP offsets.

Abstract: Techniques related to distributing the video encoding processing of an input video across hardware and software systems. Such techniques include evaluating the content of the video and determine whether or the encoding operation is best to be done on the hardware system only, software system only or a hybrid hardware and software system.

Abstract: Example apparatus to encode video disclosed herein include an encoder to perform an intra search first stage based on source pixels of a source video frame to determine first intra candidates to predict a block of the source video frame. In disclosed examples, the encoder is also to perform an intra search second stage based on reconstructed pixels of neighboring blocks associated with the first intra candidates to determine a second intra candidate. In disclosed examples, the encoder is further to encode the block of the source video frame based on the second intra candidate.

Abstract: Speeding up small block intra-prediction in video coding is described herein. The system includes an encoder. The encoder is to execute intra-prediction by deriving a plurality of prediction angles, wherein the prediction angles are based on a video coding standard. The encoder is also to disable a prediction angle for a current block to eliminate a dependency on an immediate predecessor block.

Abstract: An example system includes a processor to execute an intra search first stage on a video frame to generate intra candidates. The processor is to execute an intra search second stage on the intra candidates to generate a final intra candidate and residuals. The processor is to also execute a final mode decision and generate reconstructed pixels based on the final intra candidate and the residuals.

Abstract: Techniques related to selecting constrained directional enhancement filters for video coding are discussed. Such techniques may include selecting subset of constrained directional enhancement filters for use by a frame based on a frame level quantization parameter of the frame such that only the subset is used for filtering the frame.

Abstract: Methods, articles, and systems of video coding use intra block copying with hash-based searches.

Abstract: One embodiment provides for a graphics processor comprising a block of graphics compute units, a graphics processor pipeline coupled to the block of graphics compute units, and a programmable neural network unit including one or more neural network hardware blocks. The programmable neural network unit is coupled with the block of graphics compute units and the graphics processor pipeline. The one or more neural network hardware blocks include hardware to perform neural network operations and activation operations for a layer of a neural network. The programmable neural network unit can configure settings of one or more hardware blocks within the graphics processor pipeline based on a machine learning model trained to optimize performance of a set of workloads.

Abstract: An example system includes a processor to execute an intra search first stage on a video frame to generate intra candidates. The processor is to execute an intra search second stage on the intra candidates to generate a final intra candidate and residuals. The processor is to also execute a final mode decision and generate reconstructed pixels based on the final intra candidate and the residuals.

Abstract: Systems and methods for determining quantization parameter (QP) for video coding. Embodiments may be particularly advantageous for strongly temporal correlated frames, such as for video conferencing applications. An initial QP for a frame of a video sequence may be modified based on a spatial complexity or a temporal complexity associated with the video frame, and/or based on an inter-predicted frame bitrate target cycle, as a function of whether the frame is intra- or inter-predicted. The inter-predicted frame bitrate target cycle includes a sequence of two or more inter-predicted frame bitrate targets that are assigned to the frame according to the inter-predicted frame bitrate target cycle. A reference frame for an inter-predicted frame may be selected based on the bitrate target associated with candidate reference frames. Initial QP of an inter-predicted frame with a scene change may be modified in a manner independent of an inter-predicted frame bitrate target cycle.