A method and device for obtaining an encoding starting point

Abstract

The present application discloses a method for obtaining a coding starting point and a device for obtaining a coding starting point. Wherein, the method for obtaining the coding starting point includes: obtaining the motion vector of the prediction unit; obtaining the position information of the unit to be coded in the current frame; The position with the same position information; the position is offset according to the motion vector, and the starting point of the unit to be encoded is determined in the reference frame. This technical solution uses the existing motion vector to set the starting point of motion estimation according to the actual motion situation. The starting point is relatively close to the real motion vector, which can narrow the fixed motion search range, and use the starting point as the center to conduct a small-scale search to find the real motion vector. Therefore, the image quality and video bit rate can be kept basically unchanged, avoiding searching in the global large window, reducing the search process and reducing the time of motion estimation, thereby reducing encoding time and improving encoding efficiency.

Description

technical field [0001] The present application relates to the technical field of video coding, and in particular to a method for obtaining a coding starting point and a device for obtaining a coding starting point. Background technique [0002] Currently, in the process of video coding, the intra-frame prediction method is usually used to eliminate the spatial redundancy of the image, and the inter-frame prediction method is used to eliminate the temporal redundancy. Since the temporal redundancy between adjacent frames of a video source is much larger than the spatial redundancy within a frame, this makes the inter-frame prediction method extremely important in video coding. Because the video sequence images have a strong correlation on the time axis, motion estimation and motion compensation techniques in inter-frame prediction can effectively reduce time redundancy, so this technology is widely used in video compression coding schemes. [0003] Motion estimation is used ...

AI Technical Summary

Problems solved by technology

[0005] It can be seen that under the existing motion estimation scheme, in the reference frame, the point at the same position of the coding block in the current PU is the center, that is, the starting point, and the motion search is performed; the actual motion situation is not considered, and the adjacent frames The movement between will cause the position of the matching block to change. If the same position of the coding block in the current PU in the reference frame is still selected as the starting point, the position of the starting point will be far away from the matching block, which will lead to finding the best Computational increase for best matching blocks

Furthermore, using a fixed motion search range for all blocks in the same target image, if the search range is large enough to capture the fastest moving object in the image, then this unnecessarily increases the The search and calculation of the area leads to a huge amount of calculation, waste of computing resources, and reduce computing efficiency

On the contrary, if the search range is too small, because the reference block may be outside the search range, the motion estimation method may not be able to find a reference block with a large amount of movement, and cannot find the best matching block, which will affect The encoded image quality and the encoded bit rate make the image quality decrease and the encoded bit rate increase

Images