Abstract: Disclosed systems and methods may be provisioned with various one video memory protocol features including, as non-limiting examples, an OEM-custom display layer to support protocols for context-based single video memory map and dynamic video rendering to boost the graphics rendering process for high-performance video/gaming experience when high-resolution displays are connected, context-based single video memory map protocol to create a sharable virtual video memory map, from different memory units, which can be utilized for effective video rendering and providing optimal gaming experience, a runtime adjustable video frame driver, referred to herein as an adjustable video frame driver to dynamically access the virtual video memory map according to the context present on the object interface.

Abstract: In an aspect, exemplary embodiments of the present disclosure provide a training image generation method and device that can generate training images in large quantity by varying image formats and signal patterns to solve the problems that are generated when two-dimensional image training is performed using only one format without considering variety of formats, for example, a technology for generating training images that are used to training an image-based artificial intelligence model for analyzing images obtained from multi-channel one-dimensional signals, and a method and device for performing the technology.

Abstract: There is provided an information processing apparatus to more easily estimate a position and a posture of an imaging camera. The information processing apparatus includes: a position estimation unit configured to estimate a position and a posture of an imaging camera configured to image an image displayed on a display device as a background by using a plurality of markers existing on a display surface of the display device; and a marker control unit configured to control display or non-display of each of the markers on the basis of a viewing angle of the imaging camera determined from the position and the posture of the imaging camera.

Abstract: The disclosure relates to a memo processing device is configured to include a camera for filming videos, a memo acquisition unit for specifying a subject to which a memo is to be attached in the filmed video and storing the subject and the memo in a memory, and a memo presentation unit for displaying a memo stored in the memory as an overlay on a screen when the camera faces the subject. The memo processing device may be appropriately adopted by a portable terminal device such as a smartphone, or a mobile device of various kinds, such as Google Glass or a head-mounted display that is worn on the body, such as the head, as appropriate.

Abstract: An image processing apparatus capable of improving image quality and reducing afterimages at the same time when combining a plurality of images. A plurality of frame images including a basis frame image as a basis for combining the plurality of frame images is obtained. A third image group including superimposed images is generated by superimposing a second image on each of the frame images. The basis frame image is obtained as a training image. An input image group is generated by performing an image processing on the frame images and the second image, or the superimposed images. The image processing model is trained based on an error between an image output from the image processing model by inputting the input image group into the image processing model, and the training image. Positions at which the second image is superimposed on the frame images are different for the frame images.

Abstract: The embodiments of this disclosure disclose a label layout method based on user perception for rapid positioning in virtual scenes. One mode of specific implementation of this method comprises: determining a user interest corresponding to each scene object, selecting a target perception object from various scene objects to obtain a target perception object set; for each target perception object, performing the following steps: based on a perception time mapping function and the user interest, determining a user perception force; based on viewport coordinates, determining a camera force; determining a sum of the user perception force and the camera force as a user perceived attraction force; based on a dynamic adjustment force and the user perceived attraction force, generating a label acting force; based on various label acting forces, updating positions of various target guide labels.

Abstract: An image processing method includes displaying a first image and a target control; receiving a first input to the target control by a user. In response to the first input, adjusting the first image to a target effect corresponding to the first input; where the target control is used for adjusting color or light shadow.

Abstract: A three-dimensional model generation method executed by a computer includes: obtaining a first image generated by shooting a subject from a first viewpoint and a second image generated by shooting the subject from a second viewpoint; detecting, in at least the first image, a first line composed of a series of edges and corresponding to a contour of the subject; and generating first three-dimensional points representing the contour, in a three-dimensional space in the computer, based on the first image, the second image, and the first line.

Abstract: A method and apparatus comprising computer code for mesh coding configured to cause a processor or processors to receive an input dynamic mesh representing a volumetric data of at least one three-dimensional (3D) visual content, wherein the input dynamic mesh comprises a plurality of mesh frames; determine that a mesh frame among the plurality of mesh frames comprises a plurality of texture maps in response to a mesh file associated with the mesh frame indicating that at least two different materials are applied in the mesh frame; determine a material index associated with each triangle face in the mesh frame, wherein a respective material index indicates a texture to be applied to a respective triangle face; and encode material indices associated with the mesh frame of the input dynamic mesh.

Abstract: Systems and methods for trigger-based graphical output generation are disclosed. A server obtains, from a client device, a data request specifying data for delivery, a delivery trigger, and a messaging address. The server obtains, in response to occurrence of the delivery trigger, the data from a data repository. The server determines, using a federated artificial intelligence engine, a visualization format for the data. The server generates a graphical output corresponding to the data in the visualization format. The server transmits, to the messaging address, the graphical output.

Abstract: A method of creating digital art from photos and videos of coins and various methods of presenting this art to be viewed, including presenting the digital art in a large frame that can hang on a wall for view at hundreds of times magnification and with very good to excellent lighting, which accentuates the coin's beauty and allows coins to be presented in a more user-friendly way than the traditional methods such as 2×2? cardboard holders or “flips”, cardboard albums, or plastic holders called “slabs” that are provided by third party grading companies, which make it difficult to appreciate the beauty of certain collectible coins because most coins are small and it's hard to see the details with the naked eye, where one would have to use a magnifying lens or a jeweler's loupe to see the coin's details.

Abstract: In one aspect, an example method includes (i) obtaining video that depicts an area across multiple frames of the video, wherein the area is part of a scene of the video, and wherein the area is suitable for having an object inserted therein; (ii) detecting the area within the obtained video and determining area characteristic data associated with the detected area; (iii) determining scene attribute data associated with the scene; (iv) using at least the determined area characteristic data and the determined scene attribute data as a basis to select an object from among a set of multiple candidate objects; (v) inserting into the detected area the selected object to generate video that is a modified version of the obtained video; and (vi) outputting for presentation the generated video.

Abstract: Techniques for delivering virtualized content are disclosed. In some embodiments, elements in source content are mapped to a set of corresponding database objects, and the set of database objects is modified to generate a virtualized version of the source content. A specification of the virtualized version of the source content is provided to an output device in response to a request from the output device for the source content.

Abstract: A method of scheduling processing in a ray tracing system gathers child rays into a child task, assigns priority to the child task on the basis that one or more child rays of the child task are derived from a task to which priority has been assigned, and schedules the child task for processing in preference to one or more other tasks to be scheduled to which priority has not been assigned.

Abstract: There are provided systems and methods for scanning objects in a virtual environment. In particular, the present disclosure pertains to the domain of three-dimensional (3D) object capturing in extended reality (XR) environments and to an optimized system and method for passively capturing 3D objects within Extended Reality (XR) environments. A selection of an object from within an XR environment by a user via a user device is detected. A 3D capture session is initiated based on the detection. Scan data corresponding to the selected object is captured during the 3D capture session, where the capturing is performed as a background process on the user device. A 3D representation or model of the object is generated in the XR environment and provided to the user via the user device.

Abstract: Systems and methods are described for identifying, using a sensor, a location of an object in an environment, and determining a classification of the object. A human may be identified in proximity with the object, an identity of the human may be determined, and a determination may be made that a hazardous condition may occur, based on a combination of the location of the object, the classification of the object, and the identity of the human in proximity with the object. In response to determining that the hazardous condition may occur, an augmented reality scene associated with the potentially hazardous condition associated with the object may be generated for presentation, at a user device.

Abstract: Certain aspects of the present disclosure provide a method for generating a map. A method generally includes obtaining sensor data from one or more sensors, the sensor data corresponding to an environment comprising one or more features including a first feature having one or more changes in curvature; inputting the sensor data to a map generation model; and obtaining as output from the map generation model a vectorized map of the one or more features of the environment, wherein the vectorized map represents the first feature as a polyline comprising a plurality of line segments, wherein a comparison of changes of slope between consecutive line segments of the polyline to slopes of the plurality of line segments of the polyline satisfies a threshold.

Abstract: A method is provided that includes: obtaining an editing instruction input by a user in a current round of a dialogue and history dialogue information in at least one history round of the dialogue, wherein the history dialogue information comprises a history dialogue text and at least one history image; determining a source image to be edited from the at least one history image based on the editing instruction and the history dialogue information; and editing the source image to generate a target image based on the editing instruction.

Abstract: An example operation may include one or more of establishing a network connection between a computing system and one or more external sources over a computer network, receiving a request from a user via a software application on a user device, collecting data about the user from the one or more external sources via the established network connection, executing a machine learning model on the collected data about the user to determine a goal of the user, and displaying an image of the goal via a user interface of the software application.

Abstract: A method for manipulating laparoscopic images taken during a laparoscopic procedure using a video laparoscope. The method including: analyzing the laparoscopic images relative to visibility of an object; calculating a placement of a pre-generated 3D model of the object relative to the location of the object in the laparoscopic images; generating a visual representation of the 3D model; comparing at least one of color information and brightness information of the visual representation of the 3D model and of the laparoscopic images at the location of the 3D model and adjusting the representation of the 3D model based on the comparison in regions where the difference is below a predefined threshold; and generating composite images using the laparoscopic images and the adjusted representation of the 3D model.