Method for coding quick movement estimation video based on macro block characteristics

Abstract

The invention discloses a method for coding a quick movement estimation video based on macro block characteristics, relating to the field of video compression coding. The method comprises the following steps of: firstly, extracting brightness information of a current coding macro block from original video data; secondly, searching and designing a simple movement estimation search template aiming at an integral pixel movement vector and reasonably distributing search points; classifying movement sever degree of the current prediction macro block according to distortion principle, making a movement searching prior stopping strategy corresponding to movement characteristics from the movement characteristics of the current prediction macro block, dynamically adjusting the number of search layers and search points of the movement estimation and adaptively selecting a corresponding movement estimation search principle. Compared with the movement estimation search method adopted in a video coding standard H.264, the method can effectively accelerate the movement estimation search process, reduces the movement estimation time consumption, strictly controls the code rate increase, ensures better reconstructed Image quality, and realizes quick movement estimation coding.

Description

Fast Motion Estimation Video Coding Method Based on Macroblock Features technical field The invention relates to the field of video compression coding, and designs and implements a video fast motion estimation coding compression method based on macroblock features. Background technique H.264 / AVC, as the latest generation video coding standard jointly formulated by ITU and ISO, has better coding compression performance and anti-interference performance, can adapt to different network environments, and has important research value and application value. However, the improvement of H.264 encoding efficiency is at the cost of extremely high computational complexity at the encoder end, which leads to the defect that it is difficult to apply in real time. Research analysis shows that the vast majority of the computational complexity of the H.264 encoder comes from inter-frame predictive coding that is different from previous coding standards: supports variable sizes and shapes ...

AI Technical Summary

Problems solved by technology

(1) Use a unified and fixed motion search estimation method for all predicted macroblocks, without analyzing the characteristics of macroblocks

(2) The search radius is fixed. For a search area with a uniform and small motion range, an excessively large search radius has little effect on improving the performance of motion estimation, but it takes more calculation time

(3) There is redundancy in the number of search points, and there is no traversal-like search calculation for all search points without targeting the characteristics of the macroblock itself, resulting in time-consuming encoding

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