Quick interframe prediction mode selection algorithm for combining time domain and texture

Abstract

The invention provides a quick interframe prediction mode selection algorithm for combining a time domain and texture, which comprises the following steps: judging whether the current macroblock belongs to a macroblock in a frame of image or not; if the current macroblock belongs to the macroblock in the image, selecting an intraframe mode as an optimal prediction mode directly; if the current macroblock does not belong to the macroblock in the image, calculating the rate distortion expense of the current macroblock in a skip mode; if the rate distortion expense is smaller than a minimum threshold value, selecting the skip mode as an optimal mode; if the rate distortion expense is greater than a maximum threshold value, selecting the infraframe mode as the optimal mode; and if the rate distortion expense is between the minimum threshold value and the maximum threshold value, carrying out diffused transformation according to the optimal mode of the corresponding macroblock of the previous frame, using the respective mode selection procedures, taking the rate distortion expense of the corresponding macroblock of the previous frame in the optimal mode as a reference quantity, searching the optimal prediction mode, and recording the corresponding optimal mode and the minimum rate distortion expense in the mode as a reference quantity of the corresponding macroblock of the next frame during mode prediction. The operation time of the invention is approximately saved by 20-30%.

Description

technical field [0001] The invention relates to a fast inter-frame prediction mode selection algorithm combining time domain and texture, and belongs to the technical field of mode selection in video coding. Background technique [0002] Since entering the 21st century, multimedia video technology at home and abroad has achieved rapid development, and it has shown great advantages in the accuracy, intuition, efficiency, and adaptability to various services of visual information itself. However, the difficulty of video information processing in terms of data volume is also greatly limited, and existing communication and storage devices are generally not enough to withstand tens or even hundreds of megabytes of bit rate. Therefore, how to compress the amount of video data has become a key issue in the development of multimedia technology. As the video compression technology becomes an important subject, various video compression standards produced therefrom provide solutions ...

AI Technical Summary

Problems solved by technology

However, this kind of algorithm ignores other modes besides the skip mode to some extent, and it is difficult to achieve the expected effect in terms of quality

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