Abstract: An embodiment of an electronic processing system may include a 2D frame which corresponds to a projection of a 360 video space, and a component predictor to predict an encode component for a first block of a 2D frame based on encode information from a neighboring block which is neighboring to the first block of the 2D frame only in the 360 video space, a prioritizer to prioritize transmission for a second block of the 2D frame based on an identified region of interest, and/or a format detector to detect a 360 video format of the 2D frame based on image content. A 360 video capture device may include a contextual tagger to tag 360 video content with contextual information which is contemporaneous with the captured 360 video content. Other embodiments are disclosed and claimed.

Abstract: A system for video encoding is described herein. The system includes a processor to execute a multi-pass palette search and mapping on a video frame to generate palette candidates. The processor is to execute an intra block copy prediction on the video frame to generate intra-block-copy candidates. The processor is to also calculate a rate distortion optimization (RDO) cost for a set of generated residuals, the palette candidates, and the intra-block-copy candidates. The processor is to further also execute a final mode decision based on a comparison of the rate distortion optimization (RDO) costs.

Abstract: Embodiments described herein provide an apparatus comprising a plurality of processing resources including a first processing resource and a second processing resource, a memory communicatively coupled to the first processing resource and the second processing resource, and a processor to receive data dependencies for one or more tasks comprising one or more producer tasks executing on the first processing resource and one or more consumer tasks executing on the second processing resource and move a data output from one or more producer tasks executing on the first processing resource to a cache memory communicatively coupled to the second processing resource. Other embodiments may be described and claimed.

Abstract: Enhanced processor functions for calculation are described. An example of an apparatus includes one or more processors including one or more processing resources and a memory to store data, the data including data for compute operations. A processing resource of the one or more processing resources includes a configurable pipeline for calculation operations, and wherein the configurable pipeline may be utilized to perform both a normal instruction for a calculation in a certain precision and a systolic instruction for a calculation in a certain precision.

Abstract: Systems, apparatuses and methods may provide away to enhance an augmented reality (AR) and/or virtual reality (VR) user experience with environmental information captured from sensors located in one or more physical environments. More particularly, systems, apparatuses and methods may provide a way to track, by an eye tracker sensor, a gaze of a user, and capture, by the sensors, environmental information. The systems, apparatuses and methods may render feedback, by one or more feedback devices or display device, for a portion of the environment information based on the gaze of the user.

Abstract: Systems, apparatuses, and methods may provide for technology to dynamically control a display in response to ocular characteristic measurements of at least one eye of a user.

Abstract: Systems, apparatuses and methods may provide away to render augmented reality and virtual reality (VR/AR) environment information. More particularly, systems, apparatuses and methods may provide a way to selectively suppress and enhance VR/AR renderings of n-dimensional environments. The systems, apparatuses and methods may deepen a user's VR/AR experience by focusing on particular feedback information, while suppressing other feedback information from the environment.

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: An embodiment of a graphics apparatus may include a focus identifier to identify a focus area, and a color compressor to selectively compress color data based on the identified focus area. Another embodiment of a graphics apparatus may include a motion detector to detect motion of a real object, a motion predictor to predict a motion of the real object, and an object placer to place a virtual object relative to the real object based on the predicted motion of the real object. Another embodiment of a graphics apparatus may include a frame divider to divide a frame into viewports, a viewport prioritizer to prioritize the viewports, a renderer to render a viewport of the frame in order in accordance with the viewport priorities, and a viewport transmitter to transmit a completed rendered viewport. Other embodiments are disclosed and claimed.

Abstract: An apparatus may include a memory to receive an image frame to encode; and a modular motion estimation engine to process the image frame. The modular motion estimation engine includes modular motion estimation circuitry comprising a multiplicity of motion estimation circuits, and a motion estimation kernel for execution on the modular motion estimation circuitry to send the image frame through one or more configurable execution pipelines that each execute motion estimation over one or more of the motion estimation circuits.

Abstract: An embodiment of an electronic processing system may include an application processor, persistent storage media communicatively coupled to the application processor, a graphics subsystem communicatively coupled to the application processor, a power budget analyzer to identify a power budget for one or more of the application processor, the persistent storage media, and the graphics subsystem, a target analyzer communicatively coupled to the graphics subsystem to identify a target for the graphics subsystem, and a parameter adjuster to adjust one or more parameters of the graphics subsystem based on one or more of the identified power budget and the identified target.

Abstract: Systems, apparatuses and methods may provide away to render augmented reality (AR) and/or virtual reality (VR) sensory enhancements using ray tracing. More particularly, systems, apparatuses and methods may provide a way to normalize environment information captured by multiple capture devices, and calculate, for an observer, the sound sources or sensed events vector paths. The systems, apparatuses and methods may detect and/or manage one or more capture devices and assign one or more the capture devices based on one or more conditions to provide observer an immersive VR/AR experience.

Abstract: A system includes a camera to capture real world content and a semiconductor package apparatus. The semiconductor package apparatus includes a substrate and logic. The logic includes a graphics pipeline to generate rendered content, a base layer encoder to encode real world content into a base layer and a first layer encoder to encode rendered content into a first non-base layer, a multiplexer to interleave the base layer with the first non-base layer to obtain a single output signal having mixed reality content, and a transmitter to transmit the single output signal. The system further includes a second layer encoder to encode map data into a second non-base layer. The multiplexer to interleave the second non-base layer with the first non-base layer and the base layer. The first and second layer encoders encode the rendered content and the map data into overlay auxiliary pictures.

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: An apparatus of video encoding is described herein. The apparatus includes an encoder and a hardware bit packing unit. The encoder comprises at least a fixed function dual hierarchical motion estimation search units, dual integer motion estimation search units, and a fractional motion estimation search unit. Moreover, the hardware bit packing unit is to pack bits as coded according to the final macroblock coding decision into a data format.

Abstract: An embodiment of a semiconductor package apparatus may include technology to determine a residual error based on coding unit information, and determine a candidate coding unit and an associated rate distortion cost based on the residual error. An embodiment may additionally or alternatively include technology to partition a first coding unit into two or more smaller coding units based on a partition message, accelerate processing of at least one of the two or more smaller coding units, and estimate motion fora frame based at least partially on results of the accelerated processing. Other embodiments are disclosed and claimed.

Abstract: An apparatus of video encoding is described herein. The apparatus includes an encoder and a hardware bit packing unit. The encoder comprises at least a fixed function dual hierarchical motion estimation search units, dual integer motion estimation search units, and a fractional motion estimation search unit. Moreover, the hardware bit packing unit is to pack bits as coded according to the final macroblock coding decision into a data format.

Abstract: An embodiment may include an application processor, persistent storage media coupled to the application processor, and a graphics subsystem coupled to the application processor. The system may further include any of a performance analyzer to analyze a performance of the graphics subsystem to provide performance analysis information, a content-based depth analyzer to analyze content to provide content-based depth analysis information, a focus analyzer to analyze a focus area to provide focus analysis information, an edge analyzer to provide edge analysis information, a frame analyzer to provide frame analysis information, and/or a variance analyzer to analyze respective amounts of variance for the frame. The system may further include a workload adjuster to adjust a workload of the graphics subsystem based on the analysis information. Other embodiments are disclosed and claimed.

Abstract: An embodiment of an electronic processing system may include a 2D frame which corresponds to a projection of a 360 video space, and a component predictor to predict an encode component for a first block of a 2D frame based on encode information from a neighboring block which is neighboring to the first block of the 2D frame only in the 360 video space, a prioritizer to prioritize transmission for a second block of the 2D frame based on an identified region of interest, and/or a format detector to detect a 360 video format of the 2D frame based on image content. A 360 video capture device may include a contextual tagger to tag 360 video content with contextual information which is contemporaneous with the captured 360 video content. Other embodiments are disclosed and claimed.

Abstract: A system for lossless pixel compression for random video memory access is described herein. The system includes an encoder and a decoder. The system also includes a memory that is to store instructions and that is communicatively coupled to the encoder and decoder. Further the system includes a processor. The processor is coupled to the camera, the display, and the memory. When the processor is to execute the instructions, the processor is to predict a data value based on values of local neighbors and generate an error term based on the predicted data value. The processor is also to losslessly compress a plurality of cachelines based on the error term and predictions.