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: Systems, apparatus, articles, and methods are described below including operations for scalable real-time face beautification of video images.

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: Systems, apparatus, articles, and methods are described below including operations for scalable real-time face beautification of video images.

Abstract: Techniques related to video pre-processing for video coding are discussed. Such video pre-processing techniques may include applying adaptive temporal and spatial filtering to pixel values of video frames of input video to generate pre-processed video such that the adaptive temporal and spatial filtering includes blending spatial and temporal filtering of the individual pixel value when the block of pixels is a non-motion block and spatial-only filtering the individual pixel value when the block of pixels is a motion block.

Abstract: Systems, articles, and methods include bit-rate control for video coding using object-of-interest data that adjusts the quality of part of an image depending on the distance of the position of a macroblock from an object in the image.

Abstract: Systems, apparatus, articles, and methods are described below including operations for real-time face beautification features for video images.

Abstract: Techniques related to object detection using directional filtering are discussed. Such techniques may include determining directional weighted averages for pixels of an input image, generating a feature representation of the input image based on the directional weighted averages, and performing object detection by applying a multi-stage cascade classifier to the feature representation.

Abstract: Systems, apparatuses and methods may provide for technology to improve an appearance of objects that enter a viewable area of a 360-degree video. The technology may include a head mounted display (HMD), a viewport comprising a viewable area within the HMD, and a memory to store objects of interest not currently in the viewable area.

Abstract: Systems, apparatuses and methods may include technology to bundle on demand video frames together in clusters having similar encode times based on predicted performance determined by weighted heuristics.

Abstract: Often when there is a glare on a display screen the user may be able to mitigate the glare by tilting or otherwise moving the screen or changing their viewing position. However, when driving a car there are limited options for overcoming glares on the dashboard, especially when you are driving for a long distance in the same direction. Embodiments are directed to eliminating such glare. Other embodiments are related to mixed reality (MR) and filling in occluded areas.

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 of reducing power consumed by a large screen display panel may comprise a display divided into a plurality of segments. A gaze tracker identifies a gaze region where a viewer(s) is looking to increase a refresh rate for segments identified in the gaze region with relation to segments outside of the gaze region. The shading rate of segments outside of the gaze region may also be lowered to save even more power.

Abstract: Apparatuses, methods and storage medium associated with processing an image are disclosed herein. In embodiments, a method for processing one or more images may include generating a plurality of pairs of keypoint features for a pair of images. Each pair of keypoint features may include a keypoint feature from each image. Further, for each pair of keypoint features, corresponding adjoin features may be generated. Additionally, for each pair of keypoint features, whether the adjoin features are similar may be determined. Whether the pair of images have at least one similar object may also be determined, based at least in part on a result of the determination of similarity between the corresponding adjoin features. Other embodiments may be described and claimed.

Abstract: Techniques related to video pre-processing for video coding are discussed. Such video pre-processing techniques may include applying adaptive temporal and spatial filtering to pixel values of video frames of input video to generate pre-processed video such that the adaptive temporal and spatial filtering includes blending spatial and temporal filtering of the individual pixel value when the block of pixels is a non-motion block and spatial-only filtering the individual pixel value when the block of pixels is a motion block.

Abstract: Systems, apparatus, articles, and methods are described below including operations for scalable real-time face beautification of video images.

Abstract: One or more apparatus and method for compressing xvYCC or sRGB color to a narrower color gamut. Embodiments may be utilized in processing images/video image sequences provided in a wide gamut color space for display in standard RGB color space. In further embodiments, an sRGB or xvYCC compliant input is compressed to a gamut narrower than sRGB. Embodiments where a narrow output color gamut lacks a fully-defined 3D color space, semi-fixed-hue gamut compression may be performed by adjusting parameters provided to a fixed-hue compression module capable of mapping 3D color space representations between well-defined gamuts.

Abstract: Systems, apparatus, articles, and methods are described below including operations for real-time face beautification features for video images.

Abstract: Techniques related to skin tone tuned image enhancement are described. Such techniques may include performing an enhancement of a pixel of an input image based on a skin tone detection score and local detail information of the pixel.

Abstract: Techniques related to object detection using directional filtering are discussed. Such techniques may include determining directional weighted averages for pixels of an input image, generating a feature representation of the input image based on the directional weighted averages, and performing object detection by applying a multi-stage cascade classifier to the feature representation.