Rapid motion estimation self-adaptive selection method based on motion complexity

A technology of motion complexity and self-adaptive selection, applied in TV, electrical components, digital video signal modification, etc., can solve problems such as prolonging the search process and increasing the time of video encoding

Inactive Publication Date: 2009-09-30
上海贵知知识产权服务有限公司
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AI Technical Summary

Problems solved by technology

[0004] The traditional fast motion estimation method is to use the same search process for different videos. This method can achieve good results in some cases, but for videos with drastic changes in motion complexity, the entire search process will be prolonged, thereby increasing video encoding time

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  • Rapid motion estimation self-adaptive selection method based on motion complexity

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Embodiment Construction

[0039] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0040] The traditional motion estimation method uses the same search process for different videos. Although good search results can be obtained, because the motion complexity information of the video image itself is not considered, for video sequences with large changes in motion intensity, the entire search The process is not optimal, and there is still room for improvement in coding efficiency.

[0041] The method that the present invention proposes is mainly based on the analysis to existing two typical motion estimation methods---diamond search method (DS, Diamond Search) and hierarchical motion estimation method (HME, Hierarchical Motion Estimation), utilizes the search performance between them Aspects of complementarity, combined with the motion complexity of the video image content, select an appropriate search method for the current macroblock, and th...

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Abstract

The invention relates to a rapid motion estimation self-adaptive selection method based on motion complexity. Firstly, according to the time continuity of a video sequence, the frame level judgment of motion complexity is carried out taking the motion complexity of the image of a previous frame as the basis; then according to the result of the frame level judgment, the judgment of macro-block level motion complexity is carried out on image frames required to continue the judgment according to the space correlation of the video sequence; and finally, the motion estimation is carried out on the current macro-block to select the motion estimation method according to the judgment of the motion complexity for the frame level and macro-block level. On the basis of the analysis for the advantages and disadvantages of the diamond search method and the motion estimation method, the invention utilizes the complementarity of the existing methods, combines the self-adaptive threshold value and the judgment of premature termination conditions to select suitable search method through the calculation of the frame-level motion complexity and macro-block level motion complexity of the video sequence. Experiment results show that the invention can achieve the purpose of rapid motion estimation on the precise of guaranteeing the image quality.

Description

technical field [0001] The invention relates to a fast motion estimation adaptive selection method based on motion complexity Background technique [0002] Motion estimation is an important part of the video processing system, and it is an important method to obtain the global or local motion of the image through the analysis of the image sequence. As an important part of video coding, motion estimation not only determines the speed of the entire coding process, but also directly affects the image quality. Therefore, a good motion estimation method should improve the coding efficiency as much as possible without compromising the coding quality, so as to shorten the whole coding time. [0003] It is precisely because of the wide application of motion estimation in video coding that various fast motion estimation methods have appeared in recent years. Generally speaking, these methods can be divided into two categories. One is to obtain the motion vector through a certain fi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/26H04N19/533H04N19/57
Inventor 黄华程徽
Owner 上海贵知知识产权服务有限公司
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