Abstract: Methods and systems for frame rate scalability are described. Support is provided for input and output video sequences with variable frame rate and variable shutter angle across scenes, or for input video sequences with fixed input frame rate and input shutter angle, but allowing a decoder to generate a video output at a different output frame rate and shutter angle than the corresponding input values. Techniques allowing a decoder to decode more computationally-efficiently a specific backward compatible target frame rate and shutter angle among those allowed are also presented.

Abstract: A vision system for a vehicle includes a camera and an electronic control unit (ECU) with an image processor. The ECU generates a reduced resolution frame of captured image data and the ECU determines a reduced resolution detection result based on pedestrian detection using the reduced resolution frame of captured image data. The ECU, responsive to processing by the image processor of image data, generates a cropped frame of captured image data and the ECU determines a cropped detection result based on pedestrian detection using the cropped frame of captured image data. Responsive to determining the reduced resolution detection result and determining the cropped detection result, the ECU merges the reduced resolution detection result and the cropped detection result into a final pedestrian detection result. The final pedestrian detection result is indicative of presence of a pedestrian within the field of view of the camera.

Abstract: According to examples, a system for generating and providing organization-bounded spaces for a virtual community of users may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to generate an organization-bounded space; analyze user information to associate a user with the organization-bounded space; enable the user to receive and publish a content item; and implement a security feature for communications associated with an organization-bounded space and/or its associated users. The processor may further determine recommend a group to the user and identify a user representative for the organization-bounded space.

Abstract: A device is provided. The device may be an optical device, a light coupling device, or a tunable light coupling device. The device includes a first portion, a lens, a light emitting element, and a waveguide. The first portion is disposed adjacent to a surface of a substrate and has a first side and a second side opposite to the first side. The light emitting element is disposed adjacent to the second side of the first portion. The lens is disposed adjacent to the first side of the first portion and between the light emitting element and the waveguide.

Abstract: A shoe cover comprises a shoe cover upper comprised of non-woven fabric; a shoe cover opening formed in the shoe cover upper; a shoe cover sole integrated with the shoe cover upper; a first sealing part extending from the top edge to the bottom surface of the shoe cover sole towards the front end of the shoe cover upper; a second sealing part extending from the top edge to the bottom surface of the shoe cover sole towards a rear end of the shoe cover upper; an elastic ring provided within a first accommodating space of the shoe cover upper proximate the shoe cover opening; an elastic strip provided on the shoe cover sole and extending along a front-rear direction; and a plurality of anti-slip strips disposed on the outer bottom surface of the shoe cover sole and comprised of an isotactic polypropylene polymer and/or an isotactic polypropylene derivative.

Abstract: Disclosed is a method for detecting a metal ion in an aqueous solution, the method comprising immersing a hydrogel in the aqueous solution, wherein the hydrogel comprises a prefluorescent imaging moiety that is activated upon binding the metal ion. The method enables detection of lead ions in water.

Abstract: Backward reshaping metadata prediction models are trained with training SDR images and corresponding training HDR images. Content creation user input to define user adjusted HDR appearances for the corresponding training HDR images is received. Content-creation-user-specific modified backward reshaping metadata prediction models are generated based on the trained prediction models and the content creation user input. The content-creation-user-specific modified prediction models are used to predict operational parameter values of content-creation-user-specific backward reshaping mappings for backward reshaping SDR images into mapped HDR images of at least one content-creation-user-adjusted HDR appearance.

Abstract: A device includes an electronic processor configured to define a first set of sample pixels from a set of sample pixels determined from received video data according to a first electro-optical transfer function (EOTF) in a first color representation of a first color space; convert the first set of sample pixels to a second EOTF via a mapping function, producing a second set of sample pixels according to the second EOTF; convert the first and second set of sample pixels from the first color representation to a second color representation of the first color space; determine a backward reshaping function by repeatedly applying and adjusting a sample backward reshaping function so as to minimize a difference between predicted pixel values obtained by applying the sample backward reshaping function to the pixels of the converted first set and the pixels of the converted second set.

Abstract: Different candidate image data feature types are evaluated to identify one or more specific image data feature types to be used in training a prediction model for optimizing one or more image metadata parameters. A plurality of image data features of the one or more selected image data feature types is extracted from one or more images. The plurality of image data features of the one or more selected image data feature types is reduced into a plurality of significant image data features. A total number of image data features in the plurality of significant image data features is no larger than a total number of image data features in the plurality of image data features of the one or more selected image data feature types. The plurality of significant image data features is applied to training the prediction model for optimizing one or more image metadata parameters.

Abstract: Disclosed is a composite material, comprising a polymer, a plurality of metal nanoparticles, and a surface-modifying agent (e.g., nanocellulose). Also disclosed is a method for shielding a subject from electromagnetic radiation, comprising placing one or more composite materials between the subject and a source of electromagnetic radiation, thereby reducing a dose of electromagnetic radiation received by the subject.

Abstract: Methods and systems for generating an interpolated reshaping function for the efficient coding of high-dynamic range images are provided. The interpolated reshaping function is constructed based on a set of pre-computed basis reshaping functions. Interpolation schemes are derived for pre-computed basis reshaping functions represented as look-up tables, multi-segment polynomials, or matrices of coefficients in a multivariate, multi-regression representation. Encoders and decoders using asymmetric reshaping and interpolated reshaping functions for mobile applications are also presented.

Abstract: A device is provided. The device may be an optical device, a light coupling device, or a tunable light coupling device. The device includes a first portion, a lens, a light emitting element, and a waveguide. The first portion is disposed adjacent to a surface of a substrate and has a first side and a second side opposite to the first side. The light emitting element is disposed adjacent to the second side of the first portion. The lens is disposed adjacent to the first side of the first portion and between the light emitting element and the waveguide.

Abstract: An air-duct module for a server comprises a main body that includes an upper wall and a plurality of side walls extending downwardly away from the upper wall. The main body further includes a plurality of channel walls extending from the upper wall and defining a cable-routing channel located within the main body. The cable-routing channel receives an electronics cable that extends across the main body. The air-duct module has an air passage for guiding air across a heat exchanger within the server. The air-duct passage is defined by the upper wall, the plurality of side walls, and at least some of the plurality of channel walls.

Abstract: A layout for measuring an overlapping state includes a layout region, a first dummy active area region, and dummy component regions. The first dummy active area region is located in the layout region. The dummy component regions are stacked in the layout region. At the moment when one of the dummy component regions is formed on the first dummy active area region, the one of the dummy component regions and the first dummy active area region have a first overlapping region, and the first overlapping region does not include other dummy component regions among the dummy component regions.

Abstract: A layout for measuring an overlapping state includes a layout region, a first dummy active area region, and dummy component regions. The first dummy active area region is located in the layout region. The dummy component regions are stacked in the layout region. At the moment when one of the dummy component regions is formed on the first dummy active area region, the one of the dummy component regions and the first dummy active area region have a first overlapping region, and the first overlapping region does not include other dummy component regions among the dummy component regions.

Abstract: Methods and systems for mapping images from a first dynamic range to a second dynamic range using a set of reference color-graded images and neural networks are described. Given a first and a second image representing the same scene but at a different dynamic range, a neural network (NN) model is selected from a variety of NN models to determine an output image which approximates the second image based on the first image and the second image. The parameters of the selected NN model are derived according to an optimizing criterion, the first image and the second image, wherein the parameters include node weights and/or node biases for nodes in the layers of the selected NN model. Example HDR to SDR mappings using global-mapping and local-mapping representations are provided.

Abstract: Methods and systems for image denoising when displaying high-dynamic-range images are described. Given an input image in a first dynamic range, and an input backward reshaping function mapping codewords from the first dynamic range to a second dynamic range, wherein the second dynamic range is equal or higher than the first dynamic range, statistical data based on the input image and the input backward reshaping function are generated to estimate the risk of noise artifacts in a target image in the second dynamic range generated by applying the input backward reshaping function to the input image. Using a measure of the variance in codeword bins in histograms of consecutive input frames (denoted as temporal histogram variance), a modified backward reshaping function is generated, which when applied to the input image to generate the target image eliminates or reduces noise artifacts in the target image.

Abstract: Methods and systems for frame rate scalability are described. Support is provided for input and output video sequences with variable frame rate and variable shutter angle across scenes, or for input video sequences with fixed input frame rate and input shutter angle, but allowing a decoder to generate a video output at a different output frame rate and shutter angle than the corresponding input values. Techniques allowing a decoder to decode more computationally-efficiently a specific backward compatible target frame rate and shutter angle among those allowed are also presented.

Abstract: Methods and systems for reducing banding artifacts when displaying high-dynamic-range images are described. Given an input image in a first dynamic range, and an input backward reshaping function mapping codewords from the first dynamic range to a second dynamic range, wherein the second dynamic range is equal or higher than the first dynamic range, statistical data based on the input image and the input backward reshaping function are generated to estimate the risk of banding artifacts in a target image in the second dynamic range generated by applying the input backward reshaping function to the input image. Separate banding alleviation algorithms are applied in the darks and highlights parts of the first dynamic range to generate a modified backward reshaping function, which when applied to the input image to generate the target image eliminates or reduces banding in the target image.

Abstract: An air-duct module for a server comprises a main body that includes an upper wall and a plurality of side walls extending downwardly away from the upper wall. The main body further includes a plurality of channel walls extending from the upper wall and defining a cable-routing channel located within the main body. The cable-routing channel receives an electronics cable that extends across the main body. The air-duct module has an air passage for guiding air across a heat exchanger within the server. The air-duct passage is defined by the upper wall, the plurality of side walls, and at least some of the plurality of channel walls.