Abstract: A motion processing method and apparatus are provided. The motion processing method includes obtaining a base-level motion by applying a linear Gaussian model to an input motion, obtaining a controllable motion displacement vector and a residual motion displacement vector by applying the linear Gaussian model to a displacement vector between the input motion and the base-level motion, and synthesizing an output motion based on the base-level motion and the controllable motion displacement vector.

Abstract: A video encoder is disclosed. The video encoder comprises an integer level motion estimation hardware component configured to determine candidate integer level motion vectors for a video being encoded. The video encoder comprises a fractional motion estimation hardware component configured to receive the candidate integer level motion vectors from the integer level motion estimation hardware component and refine the candidate integer level motion vectors into candidate sub-pixel level motion vectors. The fractional motion estimation hardware component includes parallel pipelines configured to process coding units of a frame of the video in parallel across the parallel pipelines.

Abstract: A normal merge mode derivation unit further includes a merging candidate selector structured to add a merge motion vector difference defined by a direction index indicating a direction and a distance index indicating a distance to a motion vector of a merging candidate list, and select one candidate from the merging candidate list as a selected merging candidate on the basis of a merge index, in which, when the motion vector of the selected merging candidate is smaller than a distance indicated by an arbitrary index of the distance index, the merging candidate selector sets a direction of a merge motion vector difference defined by the distance index indicating a larger distance than the motion vector of the selected merging candidate as a diagonal direction, or changes the distance indicated by the distance index.

Abstract: Methods and systems for rendering an output image from a plurality of input images. The plurality of input images is received, and each input image is taken from a different first location. A view specification for rendering the output image is received, and the view specification includes at least a second location. The second location is different from each of the first locations. An output image is rendered based at least in part on the plurality of input images and the view specification, and the output image includes an image of a region as seen from the second location. The output image is displayed on a display.

Abstract: Local motion estimation is described herein. Each picture of a video is partitioned into blocks for the local motion estimation. An extended-block FFT is calculated for each block, where the extended-block denotes that a certain area around the block is also included for applying FFT. Extending the block for FFT helps to account for the motion of objects that are moving into or out of the block. Phase correlation is applied to attain a set of Motion Vector (MV) candidates for the blocks, and a cost function is evaluated for each MV. If no MV candidate produces a cost function below a pre-defined threshold, a hierarchical variable block matching search is applied and the process is repeated with blocks for finer resolution. Also, predictive MV candidates are used during the block matching search along with temporal constraints tracking to select an MV that yields the minimum cost function.

Abstract: A method of creating a variable-shaped block in a target image includes generating an initial pattern of target blocks, identifying allowable combinations of target blocks, calculating a combination value for each allowable combination, using the combination value to select one of the allowable combinations, and performing the selected allowable combination to create a variable-shaped block.