Abstract: A system, method, and computer readable medium may include technology to enable optimal usage of automotive virtual mirrors. A gaze detector monitors a driver's eyes to determine if the driver is looking in the direction of a virtual mirror. If the driver is not looking in the direction of virtual mirror, all virtual mirrors are placed in a low operational mode. If the driver is looking in the direction of a virtual mirror, the virtual mirror being viewed is placed in a high operational mode and all other virtual mirrors are placed in the low operational mode.

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: Techniques described herein are related to video coding using display modification input.

Abstract: Techniques related to video coding using content based metadata.

Abstract: At least one processor is configured to encode samples of a largest coding unit (LCU) of a picture using a sample adaptive offset (SAO) mode. To encode the samples of the LCU using SAO, the at least one processor is configured to: calculate differences between corresponding reconstructed samples of the LCU and original samples of the LCU, clip a number of bits from each of the differences to form clipped differences, sum the clipped differences to form a sum of differences, clip the sum of differences to form a clipped sum of differences, calculate a number of the reconstructed samples, clip a number of bits from the number of reconstructed samples to form a dipped number of samples, and divide the clipped sum of differences by the clipped number of samples to produce an offset for the LCU.

Abstract: In an example, a method of transforming video data comprises determining, based on variable operational code, a plurality of control parameters for transforming the video data in a transform domain, wherein the operational code maps each of the plurality of control parameters to respective operational code fields, and performing transformation of the video data based on the determined control parameters.

Abstract: Techniques related to frame re-ordering for video coding are described herein.

Abstract: In an example, a method of transforming video data in video coding includes applying a first stage of a two-dimensional transform to a block of video data values to generate a block of first stage results, and applying a second stage of the two-dimensional transform to the block of first stage results without reordering the first stage results to generate a block of second stage results.

Abstract: Techniques related to adaptive reference frame caching for video coding are described herein.

Abstract: Systems and methods for interleaving video sub-blocks in video coding are described herein. In one aspect, an apparatus includes a memory and a video coder. The memory stores a first video block and a second video block. The first video block and the second video block include sub-blocks. The video coder processes a first sub-block of the first video block according to a first process and a second process, and processes a second sub-block of the first video block according to the first process and the second process after processing the first sub-block of the first video block according to the first process and the second process. Further, the video coder processes a first sub-block of the second video block according to the first process before processing the second sub-block of the first video block according to the first process.

Abstract: Implementations include video image processing systems, methods, and apparatus for integrated video downscale in a video core. The downscaler computes and writes a display frame to an external memory. This frame may have the same resolution as a target display device (e.g., mobile device). The target display device then reads this display frame, rather than the original higher resolution frame. By enabling downscale during encoding/decoding, the device can conserve resources such as memory bandwidth, memory access, bus bandwidth, and power consumption associated with separately downscaling a frame of video data.

Abstract: Methods and systems for performing at least one of video encoding and video decoding are disclosed. In one implementation, the system includes a controller configured to determine a video standard associated with a portion of the video data, each portion of the video data associated with one of a plurality of video standards. The controller is further configured to provide a set of the filter parameters which are associated with a video standard to be used for at least one of the video encoding and decoding and at least one filter configured to filter at least one reference pixel received from the reference pixel memory based, at least in part, on the provided set of filter parameters.

Abstract: In an example, a method for filtering pixel data in video coding comprises determining a pixel filtering task from a plurality of pixel filtering tasks for filtering the pixel data, wherein each filtering task of the plurality of pixel filtering tasks is based on an instruction set for a programmable instruction set based controller, and executing the determined filtering task on the pixel data.

Abstract: At least one processor is configured to encode samples of a largest coding unit (LCU) of a picture using a sample adaptive offset (SAO) mode. To encode the samples of the LCU using SAO, the at least one processor is configured to: calculate differences between corresponding reconstructed samples of the LCU and original samples of the LCU, clip a number of bits from each of the differences to form clipped differences, sum the clipped differences to form a sum of differences, clip the sum of differences to form a clipped sum of differences, calculate a number of the reconstructed samples, clip a number of bits from the number of reconstructed samples to form a dipped number of samples, and divide the clipped sum of differences by the clipped number of samples to produce an offset for the LCU.

Abstract: In an example, a method of transforming video data comprises determining, based on variable operational code, a plurality of control parameters for transforming the video data in a transform domain, wherein the operational code maps each of the plurality of control parameters to respective operational code fields, and performing transformation of the video data based on the determined control parameters.

Abstract: In an example, a method for filtering pixel data in video coding comprises determining a pixel filtering task from a plurality of pixel filtering tasks for filtering the pixel data, wherein each filtering task of the plurality of pixel filtering tasks is based on an instruction set for a programmable instruction set based controller, and executing the determined filtering task on the pixel data.

Abstract: In an example, a method of transforming video data in video coding includes applying a first stage of a two-dimensional transform to a block of video data values to generate a block of first stage results, and applying a second stage of the two-dimensional transform to the block of first stage results without reordering the first stage results to generate a block of second stage results.

Abstract: Implementations include video image processing systems, methods, and apparatus for integrated video downscale in a video core. The downscaler computes and writes a display frame to an external memory. This frame may have the same resolution as a target display device (e.g., mobile device). The target display device then reads this display frame, rather than the original higher resolution frame. By enabling downscale during encoding/decoding, the device can conserve resources such as memory bandwidth, memory access, bus bandwidth, and power consumption associated with separately downscaling a frame of video data.

Abstract: Techniques for intensity compensation in video processing are provided. In one configuration, a wireless communication device compliant with the VC1-SMPTE standard (e.g., cellular phone, etc.) comprises a processor that is configured to execute instructions operative to reconstruct reference frames from a received video bitstream. A non-intensity-compensated copy of a reference frame of the bitstream is stored in a memory of the device and used for defining the displayable images and for on-the-fly generation of a stream of intensity-compensated pixels to perform motion compensation calculations for frames of the video bitstream.

Abstract: Methods and systems for performing at least one of video encoding and video decoding are disclosed. In one implementation, the system includes a controller configured to determine a video standard associated with a portion of the video data, each portion of the video data associated with one of a plurality of video standards. The controller is further configured to provide a set of the filter parameters which are associated with a video standard to be used for at least one of the video encoding and decoding and at least one filter configured to filter at least one reference pixel received from the reference pixel memory based, at least in part, on the provided set of filter parameters.