Abstract: One embodiment provides a method comprising determining one or more coordinates representing one or more skin tones in a device-independent color space. The one or more skin tones can include one or more colors of human skin captured in one or more pieces of content. The method further comprises building a dual-core geometric model based on a distribution of the one or more skin tones in the device-independent color space. The method further comprises providing the dual-core geometric model to an electronic device for use in determining a likelihood that an input color of an input content is a skin tone. The input content is adaptively enhanced, based on the likelihood, for presentation on a display connected to the electronic device.

Abstract: One embodiment provides a method comprising determining a first representation of a source gamut of an input content in a first two-dimensional (2D) device-independent color space, determining a second representation of a target gamut of a display device in a second 2D device-independent color space, and determining a color transition protection zone (TPZ) based on the source gamut and the target gamut. The method further comprises utilizing a color gamut mapping (CGM) module to perform, based on the TPZ, linear color gamut compression from the first 2D device-independent color space to the second 2D device-independent color space if the target gamut is narrower than the source gamut. The method further comprises utilizing the same CGM module to perform, based on the TPZ, linear color gamut extension from the first 2D device-independent color space to the second 2D device-independent color space if the target gamut is wider than the source gamut.

Abstract: One embodiment provides a computer-implemented method that includes providing a machine learning network including a global inverse tone mapping (GITM) structure and a local inverse tone mapping (LITM) structure that utilize one or more non-linear basis functions with one or more coefficient functions. The one or more non-linear basis functions learn linearly to facilitate combination with at least one convolution layer for jointly learning the machine learning network. A weighted mask (WM) is provided for reducing one or more visual artifacts, including one or more quantization artifacts in a smooth region of an output of the machine learning network.

Abstract: One embodiment provides a computer-implemented method that includes providing a dynamic list structure that stores one or more detected object bounding boxes. Temporal analysis is applied that updates the dynamic list structure with object validation to reduce temporal artifacts. A two-dimensional (2D) buffer is utilized to store a luminance reduction ratio of a whole video frame. The luminance reduction ratio is applied to each pixel in the whole video frame based on the 2D buffer. One or more spatial smoothing filters are applied to the 2D buffer to reduce a likelihood of one or more spatial artifacts occurring in a luminance reduced region.

Abstract: One embodiment provides a computer-implemented method that includes adaptively adjusting a detection time interval based on stationary region type of one or more stationary regions and a scene length in a video. The method further includes tracking pixels of the one or more stationary regions from a number of previous frames to a current frame in the video in real-time. A minimum and a maximum of max-Red-Green-Blue (MaxRGB) pixel values are extracted from each frame in a scene of the video as minimum and a maximum temporal feature maps for representing pixel variance over time. Segmentation and block matching are applied on the minimum and maximum temporal feature maps to detect the stationary region type.

Abstract: One embodiment provides a method comprising receiving an input content, and receiving ambient contextual data indicative of one or more ambient lighting conditions of an environment including a display device. The input content has corresponding metadata that at least partially represents a creative intent indicative of how the input content is intended to be viewed. The method further comprises adaptively correcting the input content based on the ambient contextual data to preserve the creative intent, and providing the corrected input content to the display device for presentation. The adaptively correcting comprises applying automatic white balancing to the input content to correct color tone of the input content.

Abstract: A method includes determining, by a computing device, a working color space of a source content and a resulting content. The computing device models color saturation variations of different hues in the working color space with one or more properties of responses of a human vision system (HVS) to color stimulus. The computing device generates one or more color saturation variation models based on the responses of the HVS to color stimulus. An input color is mapped from the source content to an output color in the working color space using the one or more color saturation variation models.

Abstract: The present invention relates, in general terms, to a method of synthesising compounds and a system for synthesising compounds. The method and system can be automated. The method of synthesising a compound includes providing a solid support in fluid communication with a computer-controlled flow system, covalently bonding a first precursor to the solid support, performing at least one reaction, and cleaving the compound from the solid support.

Abstract: One embodiment provides a method comprising determining metadata corresponding to an input image, determining a black level of a display device and a peak luminance value of the display device, and determining a tone mapping function that adaptively compensates for the black level of the display device based on the metadata, the black level of the display device, and the peak luminance value of the display device. The metadata comprises a distribution of luminance values in the input image. The black level of the display device and the peak luminance value of the display device represent a lowest luminance value and a highest luminance value, respectively, achievable on the display device. The method further comprises applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the black level of the display device and provided to the display device for presentation.

Abstract: The present application provides a seafloor multi-wave seismic source including: a pressure chamber mechanism; a high-voltage pulse generator with four discharge pathways; a thrust mechanism with a thrust rod and a thrust head; four vibrators are evenly distributed around a periphery of the thrust head, and each vibrator is connected with one discharge pathway of the high-voltage pulse generator; a power supply unit to power the seismic source; and a processor, a memory and a program, wherein the program is stored in the memory and configured to be executed by the processor; and the program includes: pulse emission instructions generated by the processor based on user settings and received by the high-voltage pulse generator, for switching on four or any two of the four discharge pathways at the same time, to enable the corresponding vibrators to vibrate to excite seismic waves in compression wave mode or shear wave mode.

Abstract: One embodiment provides a method comprising determining multi-dimensional metadata corresponding to an input image, and determining ambient light information indicative of a level of ambient light in an ambient environment of a display device. The multi-dimensional metadata comprises a cumulative distribution function (CDF) of pixels in the input image. The method further comprises determining, based on the multi-dimensional metadata and the ambient light information, one or more gains that adaptively compensate for the level of ambient light in the ambient environment. The method further comprises generating a tone mapping function based on the one or more gains, and applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the level of ambient light in the ambient environment. The tone-mapped image is provided to the display device for presentation.

Abstract: An apparatus and method provides improved guidance instructions to providers of cardiopulmonary resuscitation (CPR) compressions in a cardiac arrest event. The apparatus detects CPR rate and/or changes in CPR rate, and issues prompts related to checking the depth of compressions based upon the rate/rate change detection. The prompts may be aural or visual.

Abstract: One embodiment provides a method comprising determining multi-dimensional metadata corresponding to an input image, and determining ambient light information indicative of a level of ambient light in an ambient environment of a display device. The multi-dimensional metadata comprises a cumulative distribution function (CDF) of pixels in the input image. The method further comprises determining, based on the multi-dimensional metadata and the ambient light information, one or more gains that adaptively compensate for the level of ambient light in the ambient environment. The method further comprises generating a tone mapping function based on the one or more gains, and applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the level of ambient light in the ambient environment. The tone-mapped image is provided to the display device for presentation.

Abstract: An electrode material layer includes an electrode active material and graphene of a sheet-like structure, a surface of the graphene is modified with magnetic response nanodots, and in the graphene, more than 50% of the graphene is arranged at an angle of 45° to 90° with respect to a surface, of the current collector, on which the electrode material layer is disposed, to form a heat conduction path having a specific orientation.

Abstract: One embodiment provides a method comprising determining metadata corresponding to an input image, determining a black level of a display device and a peak luminance value of the display device, and determining a tone mapping function that adaptively compensates for the black level of the display device based on the metadata, the black level of the display device, and the peak luminance value of the display device. The metadata comprises a distribution of luminance values in the input image. The black level of the display device and the peak luminance value of the display device represent a lowest luminance value and a highest luminance value, respectively, achievable on the display device. The method further comprises applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the black level of the display device and provided to the display device for presentation.

Abstract: This application discloses a trusted user interface display method. The method is applied to an electronic device having a foldable screen, includes: changing the foldable screen from a first display status to a second display status in response to a first operation performed by a user on the electronic device; displaying a user interface UI of a CA on a screen corresponding to the second display status; and triggering to display a trusted user interface TUI corresponding to the CA on the screen corresponding to the second display status in response to a second operation performed by the user on the of the CA, where the TUI is adapted to the screen corresponding to the second display status. In this application, the trusted user interface (TUI) of a TA corresponding to the CA can automatically adapt to a screen change of the foldable screen, thereby improving user experience.