Abstract: Provided are an image generation apparatus, an image generation method, and a program for generating an image indicative of play status of a game in which two-dimensional objects representative of information to be offered to a viewing audience at the destination of delivery are clearly expressed. An image acquisition section acquires a game image indicative of the content to be displayed on a display device, the game image representing at least the play status of a game in which a virtual three-dimensional object placed in a virtual three-dimensional space is viewed from a point of view in the virtual three-dimensional space. The image acquisition section also acquires a delivery target two-dimensional image indicating a two-dimensional object targeted for delivery, the delivery target two-dimensional image having the same resolution as that of an image to be delivered.

Abstract: An acquisition unit 104 acquires from a server a status of a friend user. A menu image generation unit 110 generates a menu image including an icon. A user image placement unit 116 places, on the periphery of the icon, images of friend users whose statuses acquired by the acquisition unit 104 are related to the icon. The icon is an icon representing content, and the user image placement unit 116 places, on the periphery of the icon, an image of a friend user currently performing the content.

Abstract: Video decoding innovations for multithreading implementations and graphics processor unit (“GPU”) implementations are described. For example, for multithreaded decoding, a decoder uses innovations in the areas of layered data structures, picture extent discovery, a picture command queue, and/or task scheduling for multithreading. Or, for a GPU implementation, a decoder uses innovations in the areas of inverse transforms, inverse quantization, fractional interpolation, intra prediction using waves, loop filtering using waves, memory usage and/or performance-adaptive loop filtering. Innovations are also described in the areas of error handling and recovery, determination of neighbor availability for operations such as context modeling and intra prediction, CABAC decoding, computation of collocated information for direct mode macroblocks in B slices, reduction of memory consumption, implementation of trick play modes, and picture dropping for quality adjustment.

Abstract: An information display method, a device and a storage medium. The method includes: acquiring a first image including a first object in a video, determining whether a second object is present in the first image, and when it is determined that the second object is present in the first image and that the second object satisfies a preset positional relationship with the first object, superimposing a first material on an area where the second object is located in the first image. Using the above method, it is realized that when the second object is detected in the image, any material is superimposed on the area where the second object is located, so as to avoid the problem of not being able to use part of special effects or express information when the second object satisfies the preset positional relationship with the first object.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize an optimization model for generating vector patterns with complex vector structures. For example, the disclosed systems iteratively optimize the similarity between local input and output neighborhoods that account for clusters. Specifically, based on an input exemplar vector image, the disclosed systems generate a sample input cluster representation for more robust iterative sample optimization and pattern reconstruction. To illustrate, the disclosed systems optimize output cluster configurations based on input clusters such that the output clusters minimize a shape energy and a link energy (e.g., to better preserve shape and structure details from the original vector pattern in the input exemplar vector image). From the output clusters, the disclosed systems can reconstruct additional vector elements to create a new vector image with a synthetic vector pattern.

Abstract: Disclosed herein are methods, systems, and computer-readable media for generating an image corresponding to a text input. In an embodiment, operations may include accessing a text description and inputting the text description into a text encoder. The operations may include receiving, from the text encoder, a text embedding, and inputting at least one of the text description or the text embedding into a first sub-model configured to generate, based on at least one of the text description or the text embedding, a corresponding image embedding. The operations may include inputting at least one of the text description or the corresponding image embedding, generated by the first sub-model, into a second sub-model configured to generate, based on at least one of the text description or the corresponding image embedding, an output image. The operations may include making the output image, generated by the first second sub-model, accessible to a device.

Abstract: A system and a method for generating an automated GIF file generation system is described. In one aspect, the method includes accessing an animated GIF file, identifying a plurality of elements displayed in the animated GIF file, applying a variation of one or more elements to the animated GIF file, and generating a variant animated GIF file by applying the variation of the one or more elements to the animated GIF file. The system measures a trending metric of the variant animated GIF file based on a number of times the variant animated GIF file is shared on the communication platform and uses the trending metric as a feedback to generating the variant animated GIF file.

Abstract: An image inpainting method is performed at a computing device, the method including: displaying an original image, and determining a to-be-inpainted first original region and a second original region different from the first original region in the original image in accordance with a user input; identifying a target pixel and a target pixel block comprising the target pixel in the first original region; obtaining a target search region from the second original region according to the target pixel and the target pixel block comprising the target pixel, an area of the target search region being smaller than an area of the second original region; and searching the target search region for a reference pixel block matching the target pixel block and updating the original image by inpainting the target pixel block according to the reference pixel block, and displaying the updated image.

Abstract: Methods and systems are disclosed for creating a shared augmented reality (AR) session. The methods and systems perform operations comprising: receiving, by a client device, input that selects a shared augmented reality (AR) experience from a plurality of shared AR experiences; in response to receiving the input, determining one or more resources associated with the selected shared AR experience; determining, by the client device, that two or more users are located within a threshold proximity of the client device; and activating the selected shared AR experience in response to determining that the two or more users are located within the threshold proximity of the client device.

Abstract: A method of generating an image may include obtaining a profile of a combination of a full-frame camera and a lens; obtaining image information from an electronic sensor of a mobile electronic device; and/or generating, via an electronic control unit of the mobile electronic device, a final digital image via applying a profile of the one or more profiles to the image information.

Abstract: A computer implemented method and a virtual and physical environment integration system (VPEIS) for dynamically integrating a virtual environment with a physical environment are provided. The VPEIS receives dimensions and an orientation of the physical environment, and a user device's reference position in the physical environment.

Abstract: A processing method that is performed by one or more processor is provided. The processing method includes determining a target video frame in a currently captured video; determining an object area in the target video frame based on a box selection model; determining a category of a target object in the object area based on a classification model used to classify an object in the object area; obtaining augmented reality scene information associated with the category of the target object; and performing augmented reality processing on the object area in the target video frame and the augmented reality scene information, to obtain the augmented reality scene.

Abstract: A computer-implemented image manipulation apparatus and method (200) configured to receiving an input image (202) and a desired style. The method can obtain a representation (204) of the input image selected from a plurality of stored representations of a plurality of images, wherein each said representation comprises data describing a set of image features. The method can modify image features in the obtained representation to correspond to the input image and/or the desired style to produce a modified representation (207), and render a reference image (209) based on the modified representation. A manipulated image is generated by performing a style transfer operation (210) on the input image using the rendered reference image. Embodiments may access a data store to find a group of stored images based on similarity between image content descriptors of groups of stored images and those of an input image to retrieve a stored reference image.

Abstract: An image processing apparatus sets a target display range, uses information of the set target display range to execute a rasterization process based on image data to generate a bitmap image of a size represented by integerized information, and draws the generated bitmap image in the set target display range.

Abstract: Some embodiments of the present inventive concept provide for improved telepresence and other virtual sessions using localized projection of audible noises and/or dynamic adjustment of audio and/or video qualities based on spatial relationships between users. An XR telepresence platform can allow for immersive multi-user video conferencing from within a web browser or other medium. The platform can support spatial audio and/or user video. The platform can scale to hundreds or thousands of users concurrently in a single or multiple virtual environments. Disclosed herein are quality-of-service techniques for dynamically selecting or modifying audio and/or video traffic.

Abstract: Techniques are described for automated operations related to analyzing visual data from images captured in rooms of a building and optionally additional captured data about the rooms to assess room layout and other usability information for the building's rooms and optionally for the overall building, and to subsequently using the assessed usability information in one or more further automated manners, such as to improve navigation of the building. The automated operations may include identifying one or more objects in each of the rooms to assess and one or more target attributes of each object, and generating and providing instructions to cause the capture of images and optionally additional data about those objects and target attributes for further automated analysis, such as instructions provided to an automated image acquisition device in the room and/or an associated user. Once received, the captured images and other data is then analyzed accordingly.

Abstract: A tile contains aggregated data at a certain resolution for the actual data present in the duration of time covered in that tile. Tiles are generated at every possible resolution suitable for a computer display and provide aggregate measures such as averages and variances. Tiles provide a summary of data such that from the highest level view down to the specific data time points collected, a user's attention may be drawn to the times when there is the most interesting pattern behavior to review and analyze.

Abstract: One embodiment of the present invention sets forth a technique for dynamically cropping image data transmitted to an endpoint device. The technique includes computing a first visual interest score for a first visual interest region within a digital image based on content included in the first visual interest region, computing a second visual interest score for a second visual interest region within the digital image based on content included in the second visual interest region, and determining that the first visual interest region is preferred over the second visual interest region based on the first visual interest score and the second visual interest score. The technique further includes setting a location within the first visual interest region as a point of visual interest and transmitting the digital image and the location of the point of visual interest to a computing device for displaying a portion of the digital image that includes the point of visual interest.

Abstract: A data space such as a virtual/augmented reality environment is generated, through which a viewer/point of view may move. The physical world motion of a display outputting the data space is sensed, received, or computed. The motion of a physical world environment in which the display also is sensed, received, or computed. An output adjustment is determined from the display and environment motions, typically being equal to the environment motion(s). Motion of a point of view within the data space to be outputted by the display is determined. The viewpoint motion corresponds with the display motion within physical space adjusted by the output adjustment. At least part of the data space is outputted to the display from the point of view. The point of view is navigated through the data space according to the viewpoint motion.

Abstract: Embodiments described herein provide a system for facilitating dynamic assistance to a user in an augmented reality (AR) environment of an AR device. During operation, the system detects a first element of an object using an object detector, wherein the object is associated with a task and the first element is associated with a step of the task. The system then determines an orientation and an alignment of the first element in the physical world of the user, and an overlay for the first element. The overlay can distinctly highlight one or more regions of the first element and indicate how the first element fits in the object. The system then applies the overlay to the one or more regions of the first element at the determined orientation in the AR environment.