Decoderseitige Bewegungsschätzung in der Videocodierung

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Distributed Video Coding: Selecting the Most Promising Application Scenarios

Distributed Video Coding (DVC) is a new video coding paradigm based on two major Information Theory results: the Slepian–Wolf and Wyner–Ziv theorems. Recently, practical DVC solutions have been proposed with promising results; however, there is still a need to study in a more systematic way the set of application scenarios for which DVC may bring major advantages. This paper intends to contribute for the identification of the most DVC friendly application scenarios, highlighting the expected benefits and drawbacks for each studied scenario. This selection is based on a proposed methodology which involves the characterization and clustering of the applications according to their most relevant characteristics, and their matching with the main potential DVC benefits

Block size dependent error model for motion compensation

Current video coding standards use block-based motion estimation and compensation algorithms to exploit dependencies between consecutive frames. It is a well-known fact that decreasing the block size reduces the motion-compensated frame difference, and thus reduces the data rate. However, no theoretical evaluations are available to model this relation. This paper derives a model for the prediction error variance of block-based motion compensation algorithms with respect to the block size. It is shown that the variance of the displaced frame difference of a block can be modelled with the pixel position and only three additional parameters. It can be observed that the variance increases almost linearly with the block size. Index Terms — Video coding, motion compensation, block size, block matching, prediction erro

Mesh-based decoder-side motion estimation

Current video coding standards like H.264|AVC perform a block-based motion estimation and compensation at the encoder to exploit temporal dependencies between consecutive frames. Current research proved that motion compensation can also be done profitably at the decoder. In this so-called decoder-side motion estimation (DSME), frames are interpolated at the decoder and inserted into the reference buffer as additional information for prediction. To gather the motion information for compensation, the current approach is based on a block matching algorithm estimating one motion vector for each block of the frame to be interpolated. Therefore, only translational movement is compensated. We evaluate the applicability of a mesh-based motion compensation to DSME which models affine motion in each patch of the mesh and is able to compensate camera zooming or panning, object rotation, or object deformation. I