A display control method for an ultra high definition television and a 8K ultra high definition television. Said Method comprises: receiving an inputted ultra high definition video signal, and converting the video signal into an RGB signal corresponding to a target resolution (S1); and driving, according to the target resolution corresponding to the RGB signal, a Micro LED display screen to display (S2). When the inputted video signal is a 8K ultra high definition signal, the 8K video signal is converted into an RGB signal, then the RGB signal is transmitted to a drive chip of the Micro LED display screen, and the drive chip lights up the whole Micro LED display screen according to the RGB signal, thereby achieving the display of the ultra high definition television.

Methods and systems are described for determining an image resource allocation for displaying content within a display area. An image or data capture device associated with a display device may capture an image of a space associated with the user or capture data related to other objects in the space. The viewing distance between the user and the display area (e.g., the display device) may be monitored and processed to determine and/or adjust the image resource allocation for content displayed within the display area. Prioritization data associated with the content may be used to determine and/or adjust the image resource allocation for content displayed within the display area.

Various examples pertaining to camera view synthesis on head-mounted display (HMD) for virtual reality (VR) and augmented reality (AR) are described. A method involves receiving, from a plurality of tracking cameras disposed around a HMD, image data of a scene which is on a first side of the HMD. The method also involves performing, using the image data and depth information pertaining to the scene, view synthesis to generate a see-through effect of viewing the scene from a viewing position on a second side of the HMD opposite the first side thereof.

A method of processing a super resolution image using adaptive preprocessing filtering and/or postprocessing filtering is provided. A provided image processing apparatus may determine a preprocessing filter and a postprocessing filter based on frames included in a reference interval among a plurality of intervals in an input video, may perform filtering on the frames in the reference interval based on the preprocessing filter, may reconstruct a high frequency signal of each of the frames on which the filtering is performed, and may perform filtering on the frames, each having the reconstructed high frequency signal, based on the postprocessing filter.

In one embodiment, a computing device receives, from one or more cameras, a video stream comprising multiple frames, where the video stream is received at a first quality. The computing device analyzes, using a machine-learning model, images in the frames, where the machine-learning model has been trained to detect one or more objects-of-interest in the images. The computing device identifies a sequence-of-interest including consecutive frames of the video stream, where at least one object-of-interest was detected in at least one of the consecutive frames. The computing device generates a video package including the sequence-of-interest.

An apparatus for controlling the representation of at least one data stream in a multi-participant application, comprising a server and a client, comprising: transmitter for transmitting a plurality of data streams from a server to a client across a communications network, each data stream being associated with a participant in a multi-participant video application; processor for determining a data stream ranking associated with at least one of the plurality of data streams; and, processor for selectively controlling the representation of at least one of the plurality of the data streams at the client in dependence on the data stream ranking.

A resolution converter converts input image data to N types (N is a plural number) of image data having resolutions different with each other. A secret sharing unit performs secret sharing schemes so that the plurality of pieces of image data are respectively divided into n pieces (n is an integer equal to or more than N+1 and the same value in all of image data) of distributed data and the distributed data is reconstructed to original image data using k pieces (k is an integer equal to or more than 2 and equal to or less than n and different value for each piece of image data) among n pieces. A data combination unit generates n pieces of combination data by combining distributed data selected one by one so as not to overlap with each of resolutions and stores each piece of the combination data in different storages. As more pieces of distributed data are gathered, image data with higher resolutions can be reproduced and security for copyright, privacy, or the like can be secured in each piece of distributed data.

The disclosed system and method can increase resolution of a display in postprocessing. The processor can obtain multiple images presented on a display, where the display is configured to present the multiple images at a first frame rate higher than a frame rate needed to form a perception of motion. The processor can obtain a mask corresponding to one or more images among the multiple images, where the mask indicates a portion of the one or more images among the multiple images to include in an output image. The processor can increase resolution of the display in proportion to the number of multiple images presented to the display by combining, based on the mask, the one or more images among the multiple images to obtain the output image.

A method for processing video frames, a video processing chip, and a Motion Estimation/Motion Compensation (MEMC) chip are provided. The method performed by the video processing chip includes obtaining multiple video frames and adjusting each video frame from a first resolution to a second resolution. The method also includes inserting at least one invalid frame into the multiple video frames according to a second frame rate, so that a frame rate of a transport frame stream is the second frame rate; and sending the transport frame stream to an MEMC chip. The video processing chip and the MEMC chip may perform transmission of a frame stream according to an interface frequency corresponding to a resolution and a frame rate that are agreed upon.

An image quality enhancing apparatus, an image display apparatus, an image quality enhancing method, and a computer readable storage medium which make a learning-type image quality enhancing method utilizing a sparse expression practical are provided. The image quality enhancing apparatus calculates, from the feature quantity of an image, coefficients of low-image-quality base vectors expressing a feature quantity with a linear sum and generates the image with the enhanced image quality by calculating a linear sum of high-image-quality base vectors using the calculated coefficient. When calculating the coefficient, T base vectors highly influential on the feature quantity are selected from among a plurality of base vectors and an analytic solution making L2 norm of a coefficient matrix α as small as possible is calculated. A sparse solution of the coefficients can be obtained without using the iteration method and a practical image quality enhancing apparatus can be realized.