Abstract: A method, apparatus, and a non-transitory computer-readable storage medium for image denoising. The method may include obtaining a raw image captured by a camera. The method may also include obtaining a color modeled image based on the raw image. The method may further include obtaining a subsampled raw image based on the raw image. The method may also include obtaining a denoised image based on a neural network processing the color modeled image and the subsampled raw image.

Abstract: A multi-scale aggregation pattern analysis method for a complex traffic network is provided, which belongs to the field of the highway traffic network. Firstly, an adjacency matrix, a position attribute matrix, a distance weight matrix, a road grade matrix, and a time-phased traffic congestion degree matrix of a highway traffic network are calculated; secondly, a weight influence factor of the road network is incorporated based on a PageRank algorithm to determine order of critical nodes; finally, a two-dimensional decision diagram is drawn by two indicators: order of critical nodes and a shortest path distance. A new weighting matrix which accords with the actual situation of the road network is obtained by incorporating a position weight matrix, a distance weight matrix, a road grade weight matrix and a dynamic traffic congestion degree weight matrix based on a similarity matrix of the spectral clustering.

Abstract: A method, apparatus, and a non-transitory computer-readable storage medium for image denoising. The method may include obtaining a raw image captured by a camera. The method may also include obtaining a color modeled image based on the raw image. The method may further include obtaining a subsampled raw image based on the raw image. The method may also include obtaining a denoised image based on a neural network processing the color modeled image and the subsampled raw image.

Abstract: A method, apparatus, and a non-transitory computer-readable storage medium for sub-band image reconstruction. The method may include obtaining an image captured by a camera. The method may also obtain a transform image based on the image captured by the camera. The transform image may be in a transform domain. The method may further obtain decomposed image components of the transform image. The decomposed image components may include a low frequency component and at least one high frequency component.

Abstract: Disclosed are a method and device for determining an icon position. The method includes: detecting a target object in a target image and determining the reference position of the target object in the target image, and detecting a salient position in the target image, thereby obtaining the reference position of a key target or object in the target image, and a salient position possibly requiring more attention in the target image; and selecting, according to the distance between the reference position or salient position and preset candidate positions, an icon position from the candidate positions.

Abstract: An method for image processing, an apparatus (500) for image processing and an electronic device (600) are disclosed. The method includes: determining a target area in an image by detecting the image, the target area corresponds to a target image meeting a pre-set condition, and the image comprises the target image; determining a point of interest of the image according to the target area; and processing the image according to the point of interest.

Abstract: Disclosed are a method and device for determining an icon position. The method includes: detecting a target object in a target image and determining the reference position of the target object in the target image, and detecting a salient position in the target image, thereby obtaining the reference position of a key target or object in the target image, and a salient position possibly requiring more attention in the target image; and selecting, according to the distance between the reference position or salient position and preset candidate positions, an icon position from the candidate positions.

Abstract: Embodiments of the present invention are directed at providing a font similarity preview for non-resident fonts. In one embodiment, a font is selected on a computing device. In response to the selection of the font, a pre-computed font list is checked to determine what fonts are similar to the selected font. In response to a determination that similar fonts are not local to the computing device, a non-resident font list is sent to a font vendor. The font vendor sends back previews of the non-resident fonts based on entitlement information of a user. Further, a full non-resident font can be synced to the computing device. Other embodiments may be described and/or claimed.

Abstract: Digital content interaction and navigation techniques and systems in virtual and augmented reality are described. In one example, techniques are employed to aid user interaction within a physical environment in which the user is disposed while viewing a virtual or augmented reality environment. In another example, techniques are described to support a world relative field of view and a fixed relative field of view. The world relative field of view is configured to follow motion of the user (e.g., movement of the user's head or mobile phone) within the environment to support navigation to different locations within the environment. The fixed relative field of view is configured to remain fixed during this navigation such that digital content disposed in this field of view remains at that relative location to a user's field of view.

Abstract: A mesh is a collection of multiple shapes referred to as elements, each of which can share an edge with one or more other elements of the mesh. The mesh is presented to the user on a display, and the user identifies a new element to be added to the mesh. User input is received to manipulate the new element (e.g., move the new element around the display). As the new element is manipulated, various conditions are applied to determine edges of elements existing in the mesh that the new element can be snapped to. Snapping a new element to an edge of an existing element in the mesh refers to adding the new element to the mesh so that the new element and the existing element share the edge. Indications of the edges of existing elements to which the new element can be snapped are provided to the user.

Abstract: Systems and methods are disclosed for classifying digital fonts. In particular, in one or more embodiments, the disclosed systems and methods detect a new digital font, automatically classify the digital font into one or more font classifications, and make the digital font available via a user interface. More particularly, the disclosed systems and methods can conduct searches for the new digital font, identify digital fonts similar to the new digital font, and apply the new digital font to digital text in an electronic document.

Abstract: The present disclosure is directed toward systems and methods for generating an interactive digital media item based on a two-dimensional “selfie.” For example, one or more embodiments described herein identifies a face in the two-dimensional “selfie,” then builds and displays a three-dimensional model based on the identified face. One or more embodiments described herein also track movement of a viewer of a computing device displaying the three-dimensional model such that one or more portions of the three-dimensional model appear to follow the person viewing the “selfie.

Abstract: The present disclosure is directed toward systems and methods for generating an interactive digital media item based on a two-dimensional “selfie.” For example, one or more embodiments described herein identifies a face in the two-dimensional “selfie,” then builds and displays a three-dimensional model based on the identified face. One or more embodiments described herein also track movement of a viewer of a computing device displaying the three-dimensional model such that one or more portions of the three-dimensional model appear to follow the person viewing the “selfie.

Abstract: A mesh is a collection of multiple shapes referred to as elements, each of which can share an edge with one or more other elements of the mesh. The mesh is presented to the user on a display, and the user identifies a new element to be added to the mesh. User input is received to manipulate the new element (e.g., move the new element around the display). As the new element is manipulated, various conditions are applied to determine edges of elements existing in the mesh that the new element can be snapped to. Snapping a new element to an edge of an existing element in the mesh refers to adding the new element to the mesh so that the new element and the existing element share the edge. Indications of the edges of existing elements to which the new element can be snapped are provided to the user.

Abstract: A method, system, and computer-readable storage medium are disclosed for simulation of a stateful brush tip. A tip of a brush tool is modeled using a data structure. A user input is collected representing a stroke made on a virtual canvas with the brush tool. The stroke is made with the tip in a first state. A second state of the tip is determined dependent on the first state of the tip and the user input. The second state represents a different shape of the tip than the first state. The second state of the tip is stored using the data structure.

Abstract: Digital content interaction and navigation techniques and systems in virtual and augmented reality are described. In one example, techniques are employed to aid user interaction within a physical environment in which the user is disposed while viewing a virtual or augmented reality environment. In another example, techniques are described to support a world relative field of view and a fixed relative field of view. The world relative field of view is configured to follow motion of the user (e.g., movement of the user's head or mobile phone) within the environment to support navigation to different locations within the environment. The fixed relative field of view is configured to remain fixed during this navigation such that digital content disposed in this field of view remains at that relative location to a user's field of view.

Abstract: A mesh is a collection of multiple shapes referred to as elements, each of which can share an edge with one or more other elements of the mesh. The mesh is presented to the user on a display, and the user identifies a new element to be added to the mesh. User input is received to manipulate the new element (e.g., move the new element around the display). As the new element is manipulated, various conditions are applied to determine edges of elements existing in the mesh that the new element can be snapped to. Snapping a new element to an edge of an existing element in the mesh refers to adding the new element to the mesh so that the new element and the existing element share the edge. Indications of the edges of existing elements to which the new element can be snapped are provided to the user.

Abstract: Digital content interaction and navigation techniques and systems in virtual and augmented reality are described. In one example, techniques are employed to aid user interaction within a physical environment in which the user is disposed while viewing a virtual or augmented reality environment. In another example, techniques are described to support a world relative field of view and a fixed relative field of view. The world relative field of view is configured to follow motion of the user (e.g., movement of the user's head or mobile phone) within the environment to support navigation to different locations within the environment. The fixed relative field of view is configured to remain fixed during this navigation such that digital content disposed in this field of view remains at that relative location to a user's field of view.

Abstract: Dynamic motion path blur techniques are described. In one or more implementations, paths may be specified to constrain a motion blur effect to be applied to a single image. A variety of different techniques may be employed as part of the motion blur effects, including use of curved blur kernel shapes, use of a mesh representation of blur kernel parameter fields to support real time output of the motion blur effect to an image, use of flash effects, blur kernel positioning to support centered or directional blurring, tapered exposure modeling, and null paths.

Abstract: Digital content interaction and navigation techniques and systems in virtual and augmented reality are described. In one example, techniques are employed to aid user interaction within a physical environment in which the user is disposed while viewing a virtual or augmented reality environment. In another example, techniques are described to support a world relative field of view and a fixed relative field of view. The world relative field of view is configured to follow motion of the user (e.g., movement of the user's head or mobile phone) within the environment to support navigation to different locations within the environment. The fixed relative field of view is configured to remain fixed during this navigation such that digital content disposed in this field of view remains at that relative location to a user's field of view.