A method for improved compression and filtering of images for foveated transport applications. The improvements including calculating along at least one axis of the full-resolution image data set, the distance from the foveal point to edges of full-resolution image data set, calculating the distance from each edge of the full resolution data set to the closest point on a foveal region surrounding the foveal point, calculating the distribution of available space in the adjacent peripheral regions of the image using a compression parameter, and calculating a compression curve wherein the compression of both adjacent peripheral regions is such that neither side of the adjacent peripheral regions are compressed more than the other.

Disclosed is a method and device for processing Image, and an image transmitting system. The method includes that: data to be transmitted are processed according to a first resolution to obtain first image data, wherein the image resolution represented by each row of image data in the first image data is the first resolution, and the first resolution is the maximum resolution set by a system; and the first image data is folded to obtain second image data, wherein the number of rows of the second image data is greater than that of the first image data, the image resolution represented by each row of image data in the second image data is a second resolution, and the second resolution is less than the first resolution.

Disclosed is an electronic apparatus. The electronic apparatus includes a processor configured to obtain first upscaling information of an input image using an artificial intelligence (AI) model that is trained to obtain upscaling information of an image. The processor is also configured to downscale the input image based on the obtained first upscaling information, and obtain an output image by upscaling the downscaled image based on an output resolution.

Provided is a method of adaptively performing artificial intelligence (AI) downscaling on an image during a video telephone call of a user terminal. The method includes obtaining, from an opposite user terminal, AI upscaling support information of the opposite user terminal that is a target of a video telephone call, determining whether the user terminal is to perform AI downscaling on an original image, based on the AI upscaling support information, based on determining that the user terminal is to perform AI downscaling on the original image, obtaining a first image by AI downscaling the original image using a downscaling deep neural network (DNN), generating image data by performing first encoding on the first image, and transmitting AI data including information related to the AI downscaling and the image data.

Systems, methods, devices, and non-transitory media of the various embodiments may include for traversing hierarchical level of detail (HLOD) content for rendering on a display of a client computing device. Various embodiments employ structured HLOD data structures for HLOD content, using the uniform dimensional aspects of the structured trees to generate object space representation of the HLOD content and a sampling construct for the HLOD content. The same sampling construct may be applied to an object space representation of the HLOD content for any level of the structured tree. In various embodiments, sampling using the sampling construct for an object space representation of the HLOD content may be based on a camera position relative to the object space representation of the HLOD content. Various embodiments include transforming camera frustrum planes to object space representation of the HLOD content and testing visibility of the HLOD content from the object space representation.

An apparatus and method are described for a non-uniform rasterizer. For example, one embodiment of an apparatus comprises: a graphics processor to process graphics data and render images using the graphics data; and a non-uniform rasterizer within the graphics processor to determine different resolutions to be used for different regions of an image, the non-uniform rasterizer to receive a plurality of polygons to be rasterized and to responsively rasterize the polygons in accordance with the different resolutions.

A display apparatus includes a display, a communicator configured to communicate with a server, and a processor. The processor is configured to control the communicator to transmit graphic data to be displayed on the display to the server, control the communicator to receive from the server video data into which the graphic data is converted, and process and display the received video data on the display.

Non-limiting examples of the present disclosure describe an application command control user interface menu to facilitate user interaction between a user and a mobile application. An application command control menu is displayed on a display screen of a processing device. An input may be received into an application canvas of a launched application. The application canvas may be positioned above the application command control menu on the display screen. In response to a received input into the application canvas, a soft input keyboard application may be displayed. The soft input keyboard application may display below the application command control menu on the display screen. A selection may be received in the application command control menu. In response to the received selection, display of the application command control menu may be expanded to replace display on the soft input keyboard application on the display screen. Other examples are also described.

The present invention provides a full-screen display method for an upright image that includes the following steps: reading the resolution of the second image, the resolution of the second image is a:b; extracting from the said second image to generate the third image, the resolution of the third image is b:a; the center line of the second image and of the third image coincide in both the horizontal and vertical directions; the number of pixels of the second image in the vertical direction is the same as that of the third image in the vertical direction; rotating the third image by 90 degrees along the set direction generates the fourth image; and finally displaying the fourth image full-screen on the said display device. The present invention also provides the mirroring same-screen device, the display device, the full-screen display system for upright images, and the computer readable storage medium to perform the previous steps of the full-screen display method for upright images. Compared with related technologies, the technical scheme of the present invention can realize the full-screen display of an upright image with excellent user experience.

A method for improved compression and filtering of images for foveated transport applications. The improvements including calculating along at least one axis of the full-resolution image data set, the distance from the foveal point to edges of full-resolution image data set, calculating the distance from each edge of the full resolution data set to the closest point on a foveal region surrounding the foveal point, calculating the distribution of available space in the adjacent peripheral regions of the image using a compression parameter, and calculating a compression curve wherein the compression of both adjacent peripheral regions is such that neither side of the adjacent peripheral regions are compressed more than the other.