Motion estimation method and device suitable for camera moving scene

Abstract

The invention discloses a motion estimation method suitable for a camera moving scene. The method comprises the following step: calculating an initial search center of motion estimation of each image block on the current video frame according to the motion estimation information of the previous video frame; by taking the initial search center of the motion estimation of each image block on the current video frame as the center, performing down-sampling search in a first range in the reference frame to obtain the optimal coarse pixel precision motion vector of each image block on the current video frame and the motion estimation information of the current video frame; taking the optimal coarse pixel precision motion vector of each image block on the current video frame as a search center, and performing local full search in a second range in the reference frame to obtain an optimal integer pixel precision motion vector of each image block on the current video frame, wherein the first range is greater the second range. According to the method, the initial search center of the motion estimation of the next coding frame is automatically calculated by using the motion estimation information of the previous coding frame, so that the coding efficiency of the camera moving scene is greatly improved.

Description

technical field [0001] The present application relates to a digital video coding technology, in particular to a motion estimation (motion estimation) method applicable to camera movement scenes and suitable for hardware implementation. Background technique [0002] Video coding is a technology that compresses redundant components in video images and uses as little data as possible to represent video information. Currently common video coding standards include HEVC (High Efficiency Video Coding, also called H.265) and AVC (Advanced Video Coding, also called H.264). [0003] Video coding technology takes image block as the most basic coding unit. In HEVC, the basic unit of coding is CU (Coding Unit, coding unit). The CU may be an image block of 64 pixels×64 pixels, 32 pixels×32 pixels, 16 pixels×16 pixels, or 8 pixels×8 pixels. [0004] Motion estimation is to search for the optimal matching block for the current image block in the current coded frame in the coded video fra...

AI Technical Summary

Problems solved by technology

There are many problems in this scheme: First, all image blocks in each video frame share the same GMV, which cannot solve the MV of objects at different positions in the field of view. C Different problems; the second is that additional sensors or computing units are needed to sense the motion state of the camera in real time, and then calculate the GMV based on the motion state of the camera, which is costly and difficult to implement accurately and effectively, increasing the difficulty for users

In this scheme, the motion estimation result of each image block in the previous video frame is generally a motion vector after complete rate-distortion optimization. In addition to considering the cost of image matching, it also considers the cost of coding bits. Cost, easy to generate outlier motion vectors, reduce the efficiency of motion estimation

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