Device and method for estimating hierarchical motion supporting skip mode

Abstract

The invention provides a device and a method for estimating the hierarchical motion supporting the skip mode. The method for estimating the hierarchical motion supporting the skip mode comprises the following steps: outputting the cost function value of each integer-pixel motion estimation mode with an integer-pixel motion estimation unit, judging the macro-block integer-pixel motion estimation mode with an integer-pixel motion estimation judging unit; outputting the cost function value of each sub-pixel motion estimation mode with an sub-pixel motion estimation unit, and forcibly changing the macro-block interframe prediction mode into the skip mode, or changing the macro-block interframe prediction mode into the integer-pixel motion estimation judging mode to decide the macro-block motion vector according to the position of the minimum cost function value of the sub-pixel motion estimation, or deciding the macro-block interframe prediction mode and the macro-block motion vector according to the minimum cost function value of the sub-pixel motion estimation with an sub-pixel motion estimation judging unit. The invention realizes the comparability of the skip mode and various macro-block partition modes and effectively improves efficiency of compressing the coding system.

Description

technical field [0001] The present invention relates to digital video coding motion estimation technology, especially hierarchical motion estimation technology with skip block mode. Background technique [0002] Since the appearance of MPEG video coding standard, macroblock mode decision has been the focus of video coding research. With the emergence of the H.264 video coding standard, the macroblock segmentation mode is more refined, and the impact of the mode decision on the execution efficiency of the coding system and the coding compression rate is more prominent. [0003] In the H.264 video coding standard, the motion estimation of P frame and B frame both supports the skip mode (skip mode). In the skip mode, the motion vector and residual information of the macroblock do not need to be coded. stream, the decoder can generate the motion vector MV of the skipped block according to the motion vector prediction mechanism, and use the motion vector MV to directly copy data...

AI Technical Summary

Problems solved by technology

[0007] If the gap block mode is implemented in a hierarchical motion estimation system, there are the following difficulties: (1) If the macroblock mode decision is in the stage of integer pixel motion estimation, the motion vector predictor PMV of the macroblock is accurate to the sub-pixel precision, so It is impossible to compare the gap block mode with other macroblock partition modes; (2) If the macroblock mode decision is in the sub-pixel motion estimation stage, the motion corresponding to the best matching point in the 16x16 mode of integer pixel motion estimation may be The vector value and the motion vector prediction value of the macroblock are very different, so that the gap block mode cannot be compared with each macroblock partition mode during sub-pixel motion estimation

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