An image decoding method according to the present invention comprises the steps of: deriving a merge candidate of a current block from a neighboring block of the current block; adding the derived merge candidate to a merge candidate list; when the number of merge candidates previously added to the merge candidate list is less than a threshold value, adding at least one prediction area merge candidate included in a prediction area motion information table to the merge candidate list; deriving motion information about the current block on the basis of the merge candidate list; and performing motion compensation on the current block on the basis of the derived motion information.

A format for use in encoding moving image data, comprising: a sequence of frames including plurality of the frames in which at least a region is encoded using motion estimation; a respective set of motion vector values representing motion vectors of the motion estimation for each respective one of these frames or each respective one of one or more regions within each of such frames; and at least one respective indicator associated with each of the respective frames or regions, indicating whether the respective motion vector values of the respective frame or region are encoded at a first resolution or a second resolution.

A format for use in encoding moving image data, comprising: a sequence of frames including plurality of the frames in which at least a region is encoded using motion estimation; a respective set of motion vector values representing motion vectors of the motion estimation for each respective one of these frames or each respective one of one or more regions within each of such frames; and at least one respective indicator associated with each of the respective frames or regions, indicating whether the respective motion vector values of the respective frame or region are encoded at a first resolution or a second resolution.

A method for decoding encoded blocks of pixels from an encoded video bit stream is provided that includes decoding a block vector corresponding to an encoded block of pixels from the encoded bit stream, verifying that the block vector indicates a block of reconstructed pixels in a search area including reconstructed pixels of a largest coding unit (LCU) including the encoded block of pixels and N left neighboring reconstructed LCUs of the LCU, and decoding the encoded block of pixels, wherein the block of reconstructed pixels is used as a predictor for the encoded block of pixels.

A method for decoding encoded blocks of pixels from an encoded video bit stream is provided that includes decoding a block vector corresponding to an encoded block of pixels from the encoded bit stream, verifying that the block vector indicates a block of reconstructed pixels in a search area including reconstructed pixels of a largest coding unit (LCU) including the encoded block of pixels and N left neighboring reconstructed LCUs of the LCU, and decoding the encoded block of pixels, wherein the block of reconstructed pixels is used as a predictor for the encoded block of pixels.

A mechanism is described for image frame rendering. An apparatus of embodiments, as described herein, includes one or more processors to receive a plurality of past image frames including a plurality of pixels, receive a predicted optical flow, generate a predicted frame and a confidence map associated with the predicted frame based on the plurality of past image frames and the predicted optical flow, render a first set of the plurality of pixels in the predicted frame based on the confidence map and adding the rendered pixels to the predicted frame to generate a final frame.

A method of performing bi-directional optical flow, BDOF, processing for a video sequence of images, with each image including a plurality of blocks with bidirectional-predicted inter coding blocks, BPICBs. The method includes obtaining a shifted pair of refinement parameters per a subblock of a bidirectional-predicted inter coding block, wherein the shifted pair of refinement parameters includes a shifted first refinement parameter and a shifted second refinement parameter. The method includes determining a BDOF offset without performing any right shifting using at least the shifted pair of refinement parameters by, for each sample in each subblock within each bidirectional-predicted inter coding block, determining the BDOF offset using the shifted first refinement parameter, the shifted second refinement parameter, a first horizontal gradient block and a first vertical gradient block for a first prediction block, and a second horizontal gradient block and a second vertical gradient block for a second prediction block.

Disclosed are a method for determining a color difference component quantization parameter and a device using the method. Method for decoding an image can comprise the steps of: decoding a color difference component quantization parameter offset on the basis of size information of a transform unit; and calculating a color difference component quantization parameter index on the basis of the decoded color difference component quantization parameter offset. Therefore, the present invention enables effective quantization by applying different color difference component quantization parameters according to the size of the transform unit when executing the quantization.

Disclosed are a method for determining a color difference component quantization parameter and a device using the method. Method for decoding an image can comprise the steps of: decoding a color difference component quantization parameter offset on the basis of size information of a transform unit; and calculating a color difference component quantization parameter index on the basis of the decoded color difference component quantization parameter offset. Therefore, the present invention enables effective quantization by applying different color difference component quantization parameters according to the size of the transform unit when executing the quantization.

The present technology relates to devices and systems for multidimensional data visualization and interaction in an augmented reality, virtual reality, or mixed reality image guided surgery. The disclosed embodiment provides a tool for a physician or other medical specialist to load and review medical scans in an AR/VR/MR environment, assisting medical diagnostics, surgical planning, medical education, or patient engagement.